TWI851965B - An ultimate endurance intelligent power system and intelligent management system for electric vehicles - Google Patents

Abstract

An ultimate intelligent electric vehicle with extreme endurance and an intelligent management system. The ultimate endurance intelligent electric vehicle includes an intelligent electric motor device, a kinetic energy recovery device, an intelligent generator device and an intelligent power storage device. The intelligent electric motor device is used for receiving electric energy and converting it into driving force to drive the power system of the extreme endurance electric vehicle. The power supply principle of the intelligent power system of the extreme endurance electric vehicle is that the power supply of the intelligent generator device is greater than the power supply of the smart storage device; the power supply of the smart storage device is greater than the power supply of the intelligent electric motor device; the power supply of the intelligent electric motor device, Is greater than the power supply of the kinetic energy recovery device; the power source of the intelligent generator device must obtain the recovered kinetic energy from the universal gravitation in addition to the recovered kinetic energy of the smart electric motor device. The intelligent power storage device is used to store recovered electrical energy and provide the stored recovered electrical energy to the intelligent electric motor device for driving.

Description

Intelligent power system and intelligent management system for electric vehicles with ultimate endurance

The present invention relates to an electric vehicle and system, and in particular to an extremely long-range intelligent electric vehicle and an intelligent management system.

Early electric vehicles did not use intelligent power systems. For users who need long-distance driving or frequent use of vehicles, they must choose electric vehicle batteries with large power supply and high prices. The range of general electric vehicle batteries after charging has gradually expanded from tens of kilometers in the early days to more than 100 kilometers, more than 200 kilometers, and more than 100 kilometers. Although the range of electric vehicles has reached more than 1,000 kilometers, it still cannot meet the target demand for "extreme range" of electric vehicles. Only when an electric vehicle with extreme endurance is equipped with an intelligent power system, the kinetic energy recovered by the "kinetic energy recovery device" can be used to activate the "intelligent generator device" to generate electricity. When the charging conditions of a pure electric vehicle are met, the electricity is then charged into the "intelligent storage device" to continuously supply electricity, thereby truly achieving the "extreme endurance mileage" goal required by electric vehicles.

The power system in the early development of electric vehicles was an extremely complex, difficult, large, expensive and polluting power system equipment. However, the power supply principle of the new ultra-long-range electric vehicle intelligent power system is to establish: (1) the power supply of the intelligent generator device is greater than the power supply of the intelligent energy storage device; (2) the power supply of the intelligent energy storage device is greater than the power supply of the intelligent electric motor device; (3) the power supply of the intelligent electric motor device is greater than the total power supply of the kinetic energy recovery device; (4) the power supply source of the intelligent generator device is not only the kinetic energy recovered by the intelligent electric motor device, but also (5) the net inclination of the intelligent generator device base due to the front δ = σ-λ = base inclination - local climbing degree, which generates the recovered kinetic energy due to the influence of gravity (potential energy, potential energy), and then converts the two total recovered kinetic energy into mechanical energy to increase the power generation of the smart generator device; (6) δ _min ≧ λ _max ( λ _max is the maximum climbing degree of the entire process).

After charging the high-energy "intelligent battery storage device" appropriately, the ultimate endurance smart electric vehicle can achieve the goal of "ultimate endurance mileage", allowing humans to obtain more convenient, cheap, clean and low-pollution all-green power energy.

The present invention provides an intelligent power system and intelligent management system for electric vehicles with extremely long driving range to improve the power consumption of electric vehicles.

The extremely long-range smart electric vehicle of the present invention includes a smart electric motor device, a kinetic energy recovery device (KERD), a smart generator device and a smart power storage device. The kinetic energy recovery device has two major sources of recovered kinetic energy: one is the recovered kinetic energy output by the smart electric motor, and the other is the recovered kinetic energy generated by the smart generator base being tilted from the horizontal plane when installed to receive the influence of gravity (potential energy, potential energy). Then, the smart generator device converts the total recovered kinetic energy of these two items into mechanical energy to increase the power generation of the smart generator device. The smart power storage device is used to store the recovered electric energy and provide the stored recovered electric energy to the smart electric motor device for driving.

The intelligent management system of the present invention includes an extremely long-range intelligent electric vehicle and a management device. The extremely long-range intelligent electric vehicle includes: an intelligent electric motor device, a kinetic energy recovery device KERD, an intelligent generator device and an intelligent power storage device. The management device includes an intelligent power system operation status database, a test control and data collection module and an intelligent power system test operation station. The intelligent power system operation status database is used to manage at least one of the model, serial number, type and time code of the extremely long-range intelligent electric vehicle. The performance test control and data collection module is used to obtain at least one of the SOC value, intelligent generator speed value and intelligent generator output voltage value of the extremely long-range intelligent electric vehicle to perform environmental performance testing. The intelligent power system test operation station is used to measure the software programs and parameters of the performance of the extreme endurance intelligent electric vehicle and to start the environmental performance test of the extreme endurance intelligent electric vehicle.

Based on the above, the extremely long-range intelligent electric vehicle and intelligent management system of the present invention can improve the power consumption of electric vehicles.

10: Intelligent power system for smart electric vehicles with ultimate endurance

101~116: Intelligent power system performance test test process steps

11: Intelligent power system performance test control and data collection module

12: Intelligent electric motor device

13: Smart generator device

14: Kinetic Energy Recovery Device KERD

15: Intelligent power storage device

16: Battery residual power measurement value

17: Intelligent generator speed

18: Smart generator output voltage

20: Intelligent power system performance test information processing module

30: Intelligent power system operation status database

31: Intelligent power system object input processor

310~314: Smart power system operation status database storage process steps

32: Intelligent power system query processor

320~323: Steps

33: Intelligent power system output processor

34: Intelligent power system index database

35: Intelligent power system operation status data file storage system

40: Intelligent power system performance test operation station

50: Intelligent electric vehicle navigation information file

51: Current time

52: Starting station location

53: Final stop location

54: Departure time

55: Arrival time at the final destination

56: Smart electric car flight time

57: Smart electric vehicle driving distance

58: Smart electric car cruising speed

59: Road Records

60: Intelligent power system performance test information file

61: File header identification code

62: Identification code of the intelligent power system of the smart electric vehicle with ultimate endurance

621: Kinetic energy recovery device model

622: Kinetic energy recovery device serial number

623: Intelligent motor device identification code

624: Smart power generation device identification code

625: Intelligent power storage device identification code

63: Intelligent motor device performance information

64: Intelligent generator device performance information

65: Kinetic Energy Recovery Device KERD Performance Information

66: Intelligent battery storage device performance information

67: Intelligent power system performance information

68: Data check and

69: File end identification code

Figure 1 is a functional block diagram of the intelligent power system test system of the first embodiment of the present invention.

Figure 2 is a flowchart of the operation of the smart power system performance test in the first embodiment of the present invention.

Figure 3 is a schematic diagram of the equivalent circuit of a three-phase permanent magnet synchronous motor in Embodiment 1 of the present invention.

Figure 4 is a schematic diagram of the transfer function of the brushless DC motor after Laplace transformation in Embodiment 1 of the present invention.

Figure 5 is a schematic diagram of the equivalent circuit of the charging system of the first embodiment of the present invention.

Figure 6A is a schematic diagram of the module image of the intelligent electric vehicle system with extreme endurance according to the first embodiment of the present invention.

Figure 6B shows the net inclination of the smart generator to the horizontal plane, which is δ = σ- λ = base inclination - local elevation. The diagram shows the increased recovered kinetic energy E _g due to the influence of gravity (potential energy, potential energy).

Figure 6C is a schematic diagram of a planetary gear structure according to Embodiment 1 of the present invention.

Figure 7A is a schematic diagram of the data structure of the smart electric vehicle navigation information file in the first embodiment of the present invention.

Figure 7B is a schematic diagram of the intelligent power system performance test information format of the first embodiment of the present invention.

Figure 8 is a schematic diagram of the intelligent power system operating status database of the first embodiment of the present invention.

Figure 9 is a flowchart of the operation of storing the intelligent power system operation status database in the first embodiment of the present invention.

Figure 10 is a flowchart of the operation of querying and retrieving the database of the intelligent power system in the first embodiment of the present invention.

The present invention is an intelligent electric vehicle with extreme endurance and an intelligent management system. The kinetic energy recovered by the intelligent generator configured therein includes: first, the recovered kinetic energy output by the intelligent electric motor, and second, the recovered kinetic energy produced by gravity during the driving process of the intelligent electric vehicle. Therefore, the ratio of the kinetic energy of the rotation of the intelligent generator (E _t ) to the kinetic energy of the rotating bearing of the intelligent electric motor (E _m ) = E _t /E _m = (E _m +E _g )/E _m =1+E _g /E _m . When E _g /E _m is a positive value, the power generated by the intelligent generator must be greater than the power of the intelligent electric motor. Therefore, the power generated by the intelligent generator of the electric vehicle with extreme endurance will inevitably enable the intelligent electric vehicle to produce the effect of extreme endurance. By providing a fast, complete and excellent all-weather working environment, we can improve the service quality of transportation and achieve a safer, more comfortable and energy-saving living and working environment. We can help humans move towards the benefits of silence, smoothness and zero pollution, and achieve the goal of "small, light, smart, safe and shared".

1. Intelligent electric motor device

The intelligent electric motor device for electric vehicles with ultimate endurance is actually a complete electric vehicle power system, including: integrated electric motor and energy management module. The pure electric vehicle power system function is performed by the energy management module. According to the user's demand for vehicle power, the power supply of the integrated electric motor passes through the kinetic energy recovery device KERD, and the electronic continuously variable transmission (ECVT) performs stepless speed control. The dynamic model is achieved using Matlab/Simulink software to simulate dynamic behavior and is designed as a closed-loop control system. To simplify the calculation process, all operating conditions are converted into a two-dimensional torque lookup table. The mathematical model is based on Newton's second law of motion, and the equation is as follows: Σ T = Jα

Calculate the rotation speed of the driving wheel and establish a two-dimensional torque lookup table to use the output torque. The rotation dynamic equation is as follows: T _e - T _fric - T _e,Load = J _e α _e

Among them, Te is _the output torque of wheel _rotation , Te _,Load is the load torque fed back by the electric vehicle mechanism, Tfric is the internal friction loss of the wheel, Je _is the wheel rotation inertia of the electric vehicle, and αe _is the wheel angular acceleration. The electric vehicle model adds a proportional integral controller PI to control the wheel axle to simulate the dynamic behavior of the actual wheel speed control.

The electric motor is an inner-rotating permanent magnet synchronous motor. When the motor rotates forward, it is used as an electric motor. When driving at low speed, it is the main power to drive the vehicle. When driving at high speed, it is used to drive the vehicle. When driving at medium speed, it is used to absorb the excess torque of the driving vehicle for charging. The simplified brushless motor system block diagram used in the electric motor model, the rotor of the general brushless motor uses permanent magnets. Figure 3 shows the equivalent circuit of the three-phase permanent magnet synchronous motor.

Today, the electric vehicle industry's car manufacturers, supply chains, and technology industries are working together to promote low-cost industrial development with precision electromechanics. Based on the experience of pure electric vehicle development, the switched reluctance motor is recognized as a very promising electric vehicle drive motor. Its stator and rotor are both made of ordinary silicon steel sheets stacked together. There are no windings or permanent magnets on the rotor, and only concentrated windings are wound on the stator. Permanent magnet synchronous motors have the following advantages that ordinary DC motors and AC motors cannot match: (1) simple structure, strong and durable, low cost, can work at extremely high speeds, and can adapt to high temperature and strong vibration working environments; (2) large starting torque and good low-speed performance; (3) wide speed regulation range, flexible control, and easy to achieve various special torque-speed characteristics; (4) high efficiency in a wide speed and power range.

其中V_as、V_bs、V_cs為各相定子繞組之電壓，R_s為各項之電阻，i_as、i_bs、i_cs為各相定子繞組之電流，L _s為各項之電感，ω _r為轉子電氣角速度，k_b為各項之反電動勢常數，θ _r為轉子角度之位置。在機械動能方面電磁力矩可表示為：

其中，k_t為力矩常數，而機械力矩與角速度之關係式為：

其中，J _m為電動馬達轉動慣量，p為轉子極數，α_r為電動馬達轉子電氣角加速度，B _m為電動馬達等效黏滯摩擦係數，T _m,Load為整合機構回授之負載力矩，ω _m為電動馬達轉子機械角速度，ω _r 為電動馬達轉子電氣角速度。 For the design of electric motor hardware, the driving method adopts three-phase sinusoidal voltage or current to drive, ignoring the effects of residual magnetism, saturation, hysteresis, eddy current and magnetic slot, and the relationship between voltage, current and impedance is obtained from the equivalent circuit, which is the voltage equation of the three-phase electric motor:

Where _Vas , _Vbs , and _Vcs are the voltages of the stator windings of each phase, _Rs is the resistance of each item, _ias , _ibs , and _ics are the currents of the stator windings of each phase, Ls is the inductance of each item, _ωr is the rotor electrical angular velocity, _kb is the back electromotive force constant of each item, and θr is the rotor angular _position . In terms of mechanical kinetic energy _, the electromagnetic torque can be expressed as:

Among them, _kt is the torque constant, and the relationship between mechanical torque and angular velocity is:

Where, Jm is the electric motor _'s rotational inertia, p is the rotor pole number, _αr is the electric motor's _rotor electrical angular acceleration, Bm is the electric motor _'s equivalent viscous friction coefficient, Tm _,Load is the load torque fed back by the integration mechanism, ωm is the electric motor's rotor mechanical angular velocity, _and ωr is the electric motor's rotor electrical angular velocity.

The above equation is transformed by Laplace, and the transfer function of the brushless DC motor is represented as shown in Figure 4. It is simplified into an electric motor model, and a proportional integral controller (PI) is added to control the electric motor drive voltage to simulate the dynamic behavior of the actual brushless motor when performing speed control.

其中，R_a為發電機總電阻，I _a 為發電機充電電流，L _a為發電機總電感，V _B 為蓄電池電壓，驅動車輪輸出經整合機構傳至發電機之力矩機械方程式為：

其中，J _g為發電機轉動慣量、ω _g為發電機轉速、B_g為發電機等 效黏滯係數。 The smart generator converts part of the kinetic energy into electrical energy. The charging system is composed of power components and pulse width modulation (PWM) technology. The power component (Insulation-Gate Bipolar Transistor, IGBT) uses a large power and small resistor to consume excess power. Its equivalent circuit diagram is shown in Figure 5. The voltage E _a generated inside the generator is controlled by using the IGBT switch and the large power and small resistor in parallel. The circuit equation is:

Among them, _Ra is the total resistance of the generator, Ia is the charging current of the generator, La is the total inductance of the generator, _VB is the battery voltage, _and the torque mechanical equation of the drive wheel output transmitted _to the generator through the integration mechanism is:

Among them, Jg is the generator rotational inertia, ωg is _the generator speed, _{and Bg} is the generator equivalent viscosity coefficient.

其中，V _cb為跨越C_b之電壓，V _cc 為跨越C _c 之電壓，C_b(Bulk Capacitor)為主體電容用來表現電池之電容量，C_s(Surface Capacitor)為表面電容用來表示電池之暫態效應，R_c(Capacitor Resistance)為電容性電阻，R_e(End Resistance)為末端電阻，R_t(Terminal Resistance)為終止電阻，V _o 為蓄電池輸出電壓，I _s 為充電電流。 The electric vehicle smart generator is most suitable for the operation characteristics of advanced batteries such as lithium-ion batteries with extreme endurance. The accurate measurement of the battery residual energy SOC allows the pure electric vehicle system to estimate the mileage and when to charge the battery pack. Since the lithium battery has a complex electrochemical reaction state inside, its own characteristics are also nonlinear. Therefore, the battery model established uses the method proposed by the National Renewable Energy Laboratory (NREL) of the United States, using the design of RC circuits to describe the charging and discharging characteristics of the battery. The state equation of the system obtained by Kirchhoff's law is as follows:

Among them, Vcb is _the voltage across _Cb , Vcc is the voltage across Cc , _Cb (Bulk Capacitor ₎ is _the bulk capacitance used to represent the capacitance of the battery, _Cs (Surface Capacitor) is the surface capacitance used to represent the transient effect of the battery, _Rc (Capacitor Resistance) is the capacitive resistance, _Re (End Resistance) is the end resistance, _Rt (Terminal Resistance) is the termination resistance, Vo is the battery output voltage, and _{Is is} the charging current.

2. Kinetic energy recovery device KERD

Electric vehicles can be divided into intelligent power storage devices, power devices (including electric motors, electric motor drives, transmission devices and battery energy matchers), auxiliary devices, power controllers and other devices. Among them, the modules of intelligent power storage devices can be divided into two parts: "battery management device" and "power management device". Since the storage capacity of electric vehicle power batteries is limited, when the battery residual power SOC is lower than 60% of the output power standard, it is necessary to charge immediately to meet the battery output power to achieve the power output standard. Figure 6A shows a schematic diagram of the extreme endurance intelligent electric vehicle system module. The kinetic energy recovery device KERD in the figure is a magic weapon used to coordinate the power output of the intelligent generator and the electric motor. Figure 6B shows that the net inclination of the smart generator to the horizontal plane is δ = σ -λ = base inclination - local climb. Among them, the increased recovered kinetic energy E _g =η _g m g sin δ due to the influence of gravity (potential energy, potential energy) is shown in the schematic diagram. This kinetic energy recovery device KERD is a finely designed "planetary gearbox". The kinetic energy recovery device in this system adopts a planetary gear structure. The components include a sun gear, a planetary carrier gear set, and a ring gear as shown in Figure 6C. In the differential planetary gear, the kinetic energy recovery device adopts a connection method in which the ring gear is used as the input shaft, the planetary carrier gear set is used as the tire bearing of the electric vehicle, and the sun gear is used as the power bearing of the smart generator as the output shaft.

The planetary gearbox of the kinetic energy recovery device is composed of three sets of gears: the solar gear, the planetary carrier gear set and the ring gear: (1) The middle is the solar gear (Sun Gear), and the generator is connected to the solar gear shaft; (2) Three to four planetary carrier gear sets (Planetary Gear) surround it and are fixed on a planetary carrier (Planetary Carrier). The planetary gears themselves will rotate, and the planetary carrier gears will revolve around the axis of the solar gear together; (3) The outermost layer is a ring gear (Ring Gear), which rotates around the center of the solar gear.

The purpose of speed reduction and high torque is achieved by adding a high-speed DC motor to a planetary reduction gearbox. Its main transmission structure is an outer ring gear, planetary gear, and sun gear. Such a structure has the functions of splitting, speed reduction, and multi-tooth engagement to improve work efficiency. The planetary carrier gearbox motor series has strong advantages such as small size, light weight, large load capacity, high transmission efficiency, low noise, stable power output, strong adaptability, and high durability. Various speed, torque, voltage, output shaft and other parameters can be manufactured according to needs to meet application requirements.

In order to explore the dynamic characteristics of the mechanism during operation, the intelligent electric motor device of the present invention derives the motion equations of each important component of the transmission mechanism, understands the individual motion conditions of the components and establishes a mathematical model. The internal forces of the stepless transmission device can be divided into centripetal force and tangential force. The motion equations of each internal component are as follows: T _s -3 F _ps r _s = J _s α _s

Fpc ₊ Fps - Fpr _{= mpa ​ ​}

a _p =(r _p + _rs ) a _c

( F _pr + F _ps )r _p = J _p α _p

T _c -3 F _pc (r _p +r _s )= J _c α _c

3 F _pc r _r - T _L = J _r α rCombining the motion equations derived from the equations _, we can get the following torque relationship: T _s = I _s α _s =( I _r α _r+ T _L )r _s /r _r +3 I _p α _p r _s /r _p

T _c =( I _c +3m _p (r _p +r _s ) ² )α _c +2(I _r α _r+ T _r )(r _p +r _s )/r _r -3 I _p α _p (r _p + r _s )/r _p

在電動車開上斜坡時所受到的爬坡阻力：F _s=mg sinλ電動車在加速時，需比等速行駛多輸出更多的加速阻力：F _α=(m+m_i)a The derived mathematical equations are used to establish the dynamic model of the physical structure of the kinetic energy recovery device KERD of the intelligent electric vehicle intelligent power system. The vehicle environmental parameter input model simulates the air resistance, rolling resistance, climbing resistance and acceleration resistance encountered during the actual vehicle performance test. The vehicle-related parameters such as vehicle weight, vehicle front projection area and rotational inertia, as well as environmental variables such as slope, rolling resistance coefficient, air resistance coefficient, air density and other data are input. Among them, it includes: the rolling resistance generated by the road surface hindering the movement of the tires when the wheels contact the ground when the vehicle moves: F _r =m g μ _r The air resistance encountered by the vehicle when driving includes: the resistance generated by the airflow hitting the front of the vehicle, and the air resistance generated by the air passing through the body:

The climbing resistance of an electric car when driving up a slope is: F _s =m g sin λ When an electric car accelerates, it needs to output more acceleration resistance than when driving at a constant speed: F _α =(m+m _i ) a

The vehicle dynamic model integrates the dynamic models established for each device component based on the above equations, and adds the driver model control pedal and brake as power requirements. The reference vehicle speed can be input into the driver model according to different driving patterns. The energy management control strategy will receive the driver's accelerator and brake pedal as power requirements, and feedback the power of each power component, battery SOC and actual vehicle speed to determine the driving mode. Finally, the operation of energy management during actual platform testing is simulated on the computer to verify the integrity of the control strategy.

According to the Energy Conservation Law, one of the laws of nature, i.e. the first law of thermodynamics, "The total energy of an isolated system remains constant. Energy is neither created nor destroyed out of thin air. It only changes from one form to another, or is transferred from one object to another, while the total amount of energy remains constant." Therefore, the total recovered energy _Et of the intelligent power system of this extreme sustainable electric vehicle = the rotational kinetic energy _{Em of} the intelligent electric motor + the net tilt angle of the intelligent generator base when it is installed forward and horizontal is δ , and the recovered kinetic energy _Eg generated by the influence of gravity (potential energy, potential energy) it receives.

Therefore, the overall operating condition of the kinetic energy recovery device used in the IPS design of the extreme endurance is that when the smart generator base is installed, the net tilt angle between the forward tilt and the horizontal plane is δ = σ-λ = base tilt - local climb. The kinetic energy recovered by the influence of gravity (potential energy, potential energy) is: E _g =η _g m g sin δ

As shown in Figure 6B. The ratio of the total recovered kinetic energy _Et of the smart generator to the kinetic energy _Em of the smart electric motor is _Et / _Em = ( _Em + _Eg )/ _Em = 1 + _Eg / _Em . Among them, _Eg is the recovered kinetic energy generated by the smart generator under the influence of gravity (potential energy, potential energy). At this time, _Eg / _Em must be a positive value, that is, the power of the smart generator must be greater than the power of the smart electric motor. Therefore, the power generated by the smart generator of the ultimate endurance electric vehicle must give the smart electric vehicle an ultimate endurance effect.

The smart power system of the electric vehicle on the downhill route receives the regenerated kinetic energy from the potential energy change, allowing the smart generator to convert the total regenerated energy E _t into electrical energy. Therefore, the current generated by the smart generator is used to charge the battery. This energy recovery improves the performance of the smart power system, improves the energy conversion efficiency, and extends the driving range of the electric vehicle.

電機裝置基座因前方淨傾斜度 δ = σ-λ(=基座傾斜度-當地爬升度)之安置，而受到重力影響所產生之回收動能E_g=η_g mg sin δ。

The motor device base is placed at a net front inclination of δ = σ -λ (= base inclination - local elevation), which results in the recovery kinetic energy E _g =η _g m g sin δ caused by the influence of gravity.

其中，m是電動車質量，v是電動車速度，η_g是電動車能量轉換的效率， δ = σ-λ(=基座傾斜度-當地爬升度)。智能發電機裝置及智能電動馬達裝置之回收動能比值=1+E_g/E_m=1+(2 η_g g sin δ)/v ²其中，因淨傾斜度δ之路徑坡度變化，將決定智能發電機裝置之供電功率趨勢：

Where m is the mass of the electric vehicle, v is the speed of the electric vehicle, η _g is the efficiency of the electric vehicle energy conversion, δ = σ -λ (= base inclination - local climb). The ratio of the recovered kinetic energy of the smart generator device and the smart electric motor device = 1 + E _g /E _m = 1 + (2 η _g g sin δ ) / v ² Where, due to the change in the road slope of the net inclination δ, the power supply trend of the smart generator device will be determined:

(I) When the electric vehicle is traveling on an uphill road, the net inclination δ is negative, and the ratio of the regenerative kinetic energy of the smart generator device to the smart electric motor device is less than 1, indicating that the power supplied by the smart generator will be lower than the power supplied by the smart electric motor.

(ii) When the electric vehicle is traveling on a flat road, the net inclination δ is zero, and the power supplied by the intelligent generator device is equal to the power supplied by the intelligent electric motor device.

(III) When the electric vehicle is traveling on a downhill road, the net slope δ is positive, and the power supplied by the intelligent generator device must be greater than the power supplied by the intelligent electric motor device.

There are several driving conditions when an electric vehicle is driving, including electric motor driving, and the overall operation of the kinetic energy recovery device KERD designed based on the control concept combined with the operating power principle of the electric vehicle. According to the remaining battery power (State Of Charge, SOC), it is divided into two modes, namely the electric motor mode (Electric Motor Mode) and the deceleration mode (Regenerative Braking Mode), to reduce energy loss and thus improve the performance of the entire vehicle. The following is an explanation: The maximum power output of the electric motor mode and the power curve of the smart generator. When the required power does not exceed the electric motor maximum output power switching point reference value, only the electric motor provides power to meet the vehicle power demand; once the driver's required power exceeds the electric motor maximum output power switching point reference value, the mode will switch to the deceleration mode. During the switching process, the smart generator rises to the operating point set by this system in the shortest time. The operating point changes depending on the SOC. The electric motor starts with the rise, and the energy management controller determines the motor power output size to meet the vehicle power demand during the period of time when the smart generator rises to the operating point, and the driver is prevented from noticing the short vibration caused by the connection of the two power sources when the mode is switched.

When the driver steps on the brake pedal and the power demand PD < 0, the kinetic energy recovery device KERD determines that the system is in deceleration mode. In this mode, the electric motor is driven by the vehicle's inertia and used as a smart generator. If the battery residual power SOC is higher than 60% of the rated power at this time, the general braking mode is adopted and the vehicle is not charged; if the SOC is lower than 60% of the rated power, the electric motor is in deceleration mode (smart generator power supply mode) and actively allows the smart generator to recharge the power to the smart battery.

The reverse differential gear type kinetic energy recovery device KERD forms the best operating range. The energy management device controls the electric motor to assist or the generator to absorb the output power of the wheel control shaft to meet the power demand of the electric vehicle. At the same time, KERD is used to keep the wheel control shaft in the best operating area, which can effectively save energy consumption. According to the physical characteristics of the system device, the dynamic model of each device is established separately, including the wheel control shaft, electric motor, generator, battery, kinetic energy recovery device KERD and road resistance models. Combining the above simulation and experimental results, the following conclusions can be obtained:

(1) This dynamic simulation analyzes each device and derives its dynamic equation. The parameter estimation takes the actual device parameters as close as possible to the actual platform measurement results.

(2) The load control of the kinetic energy recovery device is relatively stable to maintain the optimal operating point of the wheel control axis.

(3) The electric power generated by the smart generator must be greater than the electric power of the smart electric motor. Therefore, the ratio of the regenerative energy (E _t ) of the smart generator to the regenerative energy _Em of the smart electric motor is 1+E _g /E _m , that is, the ratio of E _g /E _m must be a positive value.

(4) Based on the simulation results of the system simulation program, pure electric vehicles can significantly save energy consumption and have better performance than traditional vehicles.

3. Smart generator device

An intelligent power generator (IPG) is a device that converts the recovered kinetic energy generated by the kinetic energy recovery device of the intelligent electric motor and the recovered kinetic energy generated by the intelligent generator due to the influence of gravity at the installation location into mechanical energy, and then into electrical energy. The power energy recovered by the intelligent power system of a pure electric vehicle is used to generate electrical power in the intelligent generator, ranging from a few kilowatt-hours to more than 100 kilowatt-hours.

Smart motors use a coil with current flowing through it to generate a magnetic field to form an electromagnetic magnet. The magnetic force between the magnets pushes the coil to do work. It is a device that uses the principle of "electric current magnetic effect" to convert electrical energy into work. Smart generators use various power (such as mechanical energy, etc.) to rotate the coil between the two poles of the magnet. When the coil rotates, the magnetic field inside the coil changes, thus generating an induced current. The principle of "electromagnetic induction" is used to convert the work done by the power into smart electricity. The working principle of the smart generator is as follows:

(1) Using the Fleming's right-hand rule (generator rule), extend the thumb, index finger, and middle finger of your right hand at right angles to each other. The thumb represents the direction of the conductor's movement in the magnetic field, and the index finger represents the direction of the magnetic field (magnetic field lines) (N→S). The direction of the middle finger is the direction of the induced current on this conductor (⊕→ θ ).

(2) When the conductor and the magnetic lines of force produce relative motion, an induced voltage is generated. The formula for the induced voltage is: E = B × L × V × sin θ .

Where E is the induced voltage, B is the magnetic flux density, L is the effective length of the magnetic field, V is the relative velocity, and θ is the angle between the conductor and the magnetic field lines.

(3) If the magnetic field is placed in the horizontal direction, when the conductor is in the vertical (0°) position, the induced voltage and current are 0°.

(4) When the wire is turned to the horizontal (90°) position, the induced voltage and current are the largest.

(5) When the wire rotates past the horizontal position, the induced voltage and current decrease, and return to zero at the 180° position.

(6) When the angle between the conductor and the magnetic field lines is between 180° and 360°, the current direction is opposite.

(7) If there are more conductors, the magnetic lines are stronger, and the rotation speed is faster, the generator can increase its power generation.

Therefore, the output power of the intelligent generator of this intelligent electric vehicle is: P = V × I , where V is the induced voltage, I is the induced current, and P is the output power of the generator. The working principle of the generator set is that the generator is driven by the rotation of the prime mover and continuously operates to achieve the purpose of intelligent power generation. Generator sets can generally be divided into two types: AC generators and DC generators. AC generator (AC Generator), when the magnetic field around the conductor changes, an induced current is generated in the conductor. When it crosses the magnetic field, a current is generated. After electromagnetic induction, the law of alternating current is generated. The rotating magnet is called the rotor, and the fixed group of conductors in a coil wound on an iron core is called the stator. The AC generator converts mechanical energy into electrical energy in the form of alternating current. The smart generator device is designed according to this principle.

Table 1 shows the relative speed of the electric vehicle intelligent AC generator. We can easily see from this table that the more magnetic poles there are, the greater the power generated. If the generator with 8 sets of magnetic poles has the same speed as the generator with 1 set of magnetic poles, the rated output power of the generator is eight times that of the generator with 1 set of magnetic poles. If the generator with 16 sets of magnetic poles has the same speed as the generator with 1 set of magnetic poles, the rated output power of the generator is sixteen times that of the generator with 1 set of magnetic poles.

High power supply principle of smart electric vehicle AC generator:

(1) The magnetic field (rotor) rotates in the wire coil (static), just like the wire movement cutting the magnetic lines of force, causing the wire to induce voltage and current.

(2) The AC generator uses a rectifier diode to rectify the AC power to form a pulsating DC power.

(3) If the number of magnetic pole pairs is increased, the voltage output pulse amplitude can be reduced.

(4) At the beginning, the power is generated by the flow of electricity from the battery into the magnetic field coil to form a strong magnet, so the power generation is high at low speeds.

4. Intelligent power storage device

The ultimate endurance smart electric vehicle charging device converts the electric energy of the smart generator to charge the smart power battery. The power converter of the electric vehicle is used for DC-DC conversion and DC-AC conversion of different frequencies. The DC-DC converter is also called a "DC chopper" and is used in auxiliary electronic device drive systems that use DC power. The two-quadrant DC chopper can convert the DC voltage of the battery into a variable DC voltage and can reverse the regenerative braking energy. The DC-AC converter is usually called an "inverter" and is used in power motor device drive systems that use AC power. It converts the DC power of the battery into an AC electric vehicle with adjustable frequency and voltage. Generally, a voltage input inverter is used because of its simple structure and bidirectional energy conversion. The auxiliary battery of a pure electric vehicle is generally a 12V/24V/48V DC low-voltage power source, which supplies the auxiliary devices required by the auxiliary power devices in the vehicle, including: vehicle information display device, power steering device, navigation device GPS, air conditioning, lighting and defrosting device, wipers and radio, etc. These auxiliary equipment are used to improve the operability of the electric vehicle and the comfort of the personnel.

After the smart electric vehicle is equipped with a smart power system, the "kinetic energy recovery device" recovers kinetic energy to start the "smart generator device" to generate electricity and charge the "smart storage device". When the battery residual power SOC is lower than 60% of the rated output value, it will immediately generate and charge the battery, so that the smart electric vehicle has extreme endurance and can continue to drive continuously, achieving the user's "ultimate endurance mileage" driving demand standard.

The smart electric vehicle with the ultimate endurance recovers kinetic energy through the "kinetic energy recovery device", activates the "intelligent power generation device" to generate abundant electricity, and charges the "intelligent power storage device" appropriately to provide the smart power system IPS required by the smart electric vehicle, giving the smart electric vehicle an uninterrupted power performance to continuously supply kinetic energy and achieve the goal of the ultimate endurance mileage. The smart electric vehicle with the ultimate endurance has zero pollution and provides humans with more lightweight, intelligent, safe and comfortable performance benefits.

The main purpose is to provide an intelligent power system for an extremely long-lasting intelligent electric vehicle and its performance testing method, improve the service quality of transportation through a fast, complete and excellent all-weather working environment, and obtain a safer, more comfortable and energy-saving working environment. Let mankind move towards a quiet, smooth and zero-pollution transportation service benefit and achieve the goal of safety and comfort. To achieve the above purpose, the present invention adopts the design and manufacturing technology of the intelligent power system of an intelligent electric vehicle, and builds the performance testing equipment of the intelligent power system of an intelligent electric vehicle, including: an intelligent power system, an intelligent power system processing module, an intelligent power test operation station and an operation database. In the process of implementing the smart power performance test, according to different task requirements, the query index key value is input from the smart power operation database to select the smart power system to recover kinetic energy through the "kinetic energy recovery device", start the "smart power generation device" to generate electricity, and the "smart power storage device" to charge, giving the smart electric vehicle an uninterrupted power operation mode and a smart power system performance test mode, and then downloading from the operation database to the smart power test control and data collection module, as well as the smart power processing module. The operator inputs the smart power system software from the smart power performance test control station and checks the data checksum code to confirm the functional properties of the smart power system software. The smart electric vehicle smart power system also performs performance testing to verify its service performance test in the working environment.

Allow operators to verify and confirm the suitability of smart power systems through these fast, safe and effective smart power system testing technologies, and effectively enhance R&D personnel's ability to master the testing of the safety performance of smart power systems in all-weather working environments.

The working principle of the present invention is shown in FIG1, which is a functional block diagram of the first embodiment of the present invention, an intelligent power system test system. The intelligent power system test system can also be called an intelligent management system, which mainly includes five parts: an intelligent power system (10), an intelligent power system test information processing module (20), an intelligent power system system operation status database (30), an intelligent power system performance test operation station (40) and an intelligent electric vehicle navigation information file (50).

When the smart power system test starts to be executed, the search index key value is selected according to the demand, and the smart power system model, smart power system operation mode, smart power system test mode and other information as well as related software and parameters are taken out from the smart power system operation status database (30), and downloaded to the smart power system performance test operation station (40) through the input and output interface. The data transmitter outputs in a standard format and is connected to the smart power system performance test control and data collection module (11) through a connection line, and the checksum of all received data is accumulated, and the original checksum is compared with the newly calculated checksum. The intelligent electric motor device (12) obtains the intelligent electric motor device (12) from the intelligent power system performance test information processing module (20), starts to execute the intelligent electric vehicle navigation processing module (50) to obtain the intelligent electric vehicle navigation processing signal, then executes the intelligent power system function test, and then measures the intelligent power storage device (15) to obtain the value of the battery residual power SOC (16), executes the measurement of the speed rpm value of the intelligent generator (17), and measures the voltage produced by the intelligent generator (18).

The operation flow of the smart power system performance test is shown in FIG2. The smart power system test execution steps are as follows: first, the query conditions are input from the smart power system performance test operation station (40) to query the smart power system operation database to obtain the smart power system model, serial number, smart electric vehicle location, navigation time, navigation distance, navigation speed and related performance tests (step 101), and then the smart The power system performance test operation station downloads the intelligent power system mode software and parameters to the intelligent power system processing module, and downloads the intelligent power system information to the intelligent electric vehicle navigation processing module of the intelligent power system (step 102). After checking that all software is ready, it supplies external power to the moving body (step 103), and checks whether the intelligent power system performance test after power supply is normal (step 104). If normal, the control interface of the intelligent power system test operation station starts the intelligent power system (step 105). If abnormal, report the failure code to the test operation station (step 109), revise and solve the problem and start again. Does the intelligent power system check whether the startup status is normal (step 106)? If it is normal, the control interface switches to the internal power supply of the smart power system and switches the data transmission system to the internal power supply (step 107). The smart power system checks whether the internal power supply is normal (step 108). If it is normal, the control interface shuts off the external power supply (step 110). If it is not normal, the failure code is reported to the smart power system test operation station (step 109), and the problem is revised and solved before restarting. Then, the test command for starting the smart power system test processing module and the smart power system is issued from the smart power system test operation station (step 111). The smart power system processing module starts to perform the smart power system operation state data measurement according to the initial state, and outputs the result to the SOC value, smart generator speed (rpm) value, and smart generator output voltage value measured by the smart power system (step 112), and performs the smart power system performance benefit value calculation (step 113). Then, the smart electric vehicle navigation information is processed to obtain the smart electric vehicle navigation information file, and the control signal required for the smart power system performance test is driven (step 114). The smart power system test operation station issues a test command to start the smart power system test processing module and the smart power system (step 111), collects the smart power system operation status data and transmits it to the data transmission and receiving system and the smart power system operation database until the performance test stop condition is met (step 115); finally, the smart power system operation status data is read from the operation database to perform the smart power system performance test (step 116).

As shown in FIG. 7A , the smart electric vehicle navigation information file (50) includes: current time (month, day, hour, minute, second) (51), starting station location (longitude, latitude, altitude) (52), terminal location (longitude, latitude, altitude) (53), starting departure time (54), terminal arrival time (55), smart electric vehicle navigation time (56), smart electric vehicle navigation distance (endurance mileage) (57), smart electric vehicle navigation speed (kilometer/hour) (58), route record (name of highway number passed) (59), etc. The intelligent power system performance test information format (60) is shown in FIG7B , and includes: a header identifier (61), an intelligent power system identifier (62), intelligent motor device performance test information (63), intelligent generator device performance test information (64), kinetic energy recovery device KERD performance test information (65), intelligent power storage device performance test information (66), intelligent power system performance benefit value information (67), data checksum (68), and a tail identifier (69). The pure electric vehicle intelligent power system identification code (62) includes: kinetic energy recovery device model (621), kinetic energy recovery device serial number (622), intelligent motor device identification code (623), intelligent power generation device identification code (624) and intelligent power storage device identification code (625).

The functional diagram of the intelligent power system operation state database (30) is shown in FIG8 , and includes: an intelligent power system object input processor (31) for processing and responding to the storage requirements of the software or intelligent power system operation state data; an intelligent power system query processor (32) for processing and responding to the target motion state data query requirements of the operator; an intelligent power system output processor (33) for processing and responding to the intelligent power system operation state data update requirements of the operator; an intelligent power system index database (34) for storing data tags and index key values; and an intelligent power system operation state data file storage system (35) for storing the intelligent power system operation state data file. The input index is converted into a data object. The embedded system operation status data database (30) can also read the intelligent power system operation status data from CD-R, DVD-R, hard disk and other media and convert it into a software object. The intelligent power system object input processor (31) extracts the storage path and file name of the data object and writes it into the intelligent power system index database (34). The software object is stored in the software in the intelligent power system operation status database or the intelligent power system operation status data file storage system (35). The authorized user packages the query condition into a query software object and transmits it to the intelligent power system operation status database (30). The smart power system query processor (32) converts the received query object into structured query language SQL and queries the index database. The obtained software query object is transmitted to the smart power system output processor (33) to convert the key value of the software object into structured query language (SQL) and query the smart power system index database (34). This query will respond to the storage path and file name of all software objects with the same query key value. The smart power system output processor (33) finds these smart power system operation status data files in the smart power system operation status data file storage system (35) according to the storage path and file name. The output processor transmits the acquired smart power system operation status data file to the smart power system test operation station (40) for the user to update and verify the smart power system operation status data. The operation flow of the smart power system test software and the smart power system operation status data object stored in the smart power system operation status database is shown in FIG9. After the input index is converted into the smart power system operation status data object (step 310), the smart power system operation status data obtained from various paths is converted into a data object (step 311). The parameters read from the storage media CD-R, DVD-R or MO can also be converted into parameter objects (step 312). The parameter input processor in the smart power system database extracts the archive path and file name of the smart power system operation status data object and writes it into the index database (step 313). The motion status data object is stored in the smart power system operation status data file storage system in the smart power system database (step 314).

The operation flow of querying and retrieving the smart power system database is shown in Figure 10. The index key value is transmitted to the query device (step 320). The query processor (32) of the smart power system database converts the input index key value into the structured query language SQL to query the smart power system database (step 321). This query will respond to the archive path and file name of all software objects with the same key value (step 322). The output processor finds the software and parameter files of the software file storage system according to the archive path and file name (step 323), and the output processor (33) transmits the obtained software file to the smart power system performance test operation station (40) for processing.

In summary, the smart power system and its performance testing method provided by the present invention can allow smart power system operators to quickly and effectively improve the safety service quality of the smart power system. Therefore, the present invention is a method that can be quickly executed, has few restrictions, and is practical and applicable.

10: Intelligent power system for smart electric vehicles with ultimate endurance

11: Intelligent power system performance test control and data collection module

12: Intelligent electric motor device

13: Smart generator device

14: Kinetic Energy Recovery Device KERD

15: Intelligent power storage device

16: Battery residual power measurement value

17: Intelligent generator speed

18: Smart generator output voltage

20: Intelligent power system performance test information processing module

30: Intelligent power system operation status database

40: Intelligent power system performance test operation station

50: Intelligent electric vehicle navigation information file

Claims (10)

An extremely long-range smart electric vehicle comprises: an intelligent electric motor device for receiving electric energy and converting it into a driving force to drive the extremely long-range smart electric vehicle system; a kinetic energy recovery device (KERD) for receiving a total recovered kinetic energy E _t =E _m +E _g ; including an intelligent electric motor recovered kinetic energy _Em and a recovered kinetic energy E _g generated by a smart generator device base due to the placement of a front net inclination δ = σ -λ (= base inclination - local climb) under the influence of gravity ; an intelligent generator device, which converts the received total recovered kinetic energy Et into recovered electric power; and an intelligent power storage device, which is used to store the recovered electric power and provide the stored recovered electric power to the intelligent electric motor device for driving. The ultra-long-range smart electric vehicle as described in claim 1, wherein the power supply principle of the ultra-long-range smart electric vehicle is to establish: (1) the power supply of the smart generator device is greater than the power supply of the smart power storage device; (2) the power supply of the smart power storage device is greater than the power supply of the smart electric motor device; (3) the power supply of the smart electric motor device is greater than the power supply of the kinetic energy recovery device; (4) the kinetic energy source of the smart generator device, in addition to the recovered kinetic energy E _m of the smart electric motor device, also includes: (5) the recovered kinetic energy E g generated by the gravity of the base of the smart generator device due to the placement of the front net inclination δ = σ-λ = base inclination - local _climb , and then convert the sum of the two items into mechanical energy to increase the power generation of the smart generator device; (6) δ _min ≧ λ _max ( λ _max is the maximum climbing degree of the entire process); the ratio of the recovered kinetic energy of the smart generator device and the smart electric motor device is 1+E _g /E _m , where E _g is the recovered kinetic energy generated by the smart generator receiving the influence of gravity, and _Em is the recovered kinetic energy of the smart electric motor device. As described in claim 2, the kinetic energy recovery device comprises: a ring gear driven by the smart electric motor of the smart electric vehicle; a planetary carrier gear set driven by the ring gear and driving the bearing of the smart electric vehicle with the kinetic energy of the smart electric motor device; and a sun gear driven by the planetary carrier gear set and providing the total recovered kinetic energy to the smart generator device. As described in claim 3, the smart electric vehicle with extreme endurance, wherein when the residual power (State Of Charge, SOC) of a battery of the smart power storage device is less than or equal to a first threshold value, the smart power storage device is charged according to the recovered electric energy, and the charging of the smart power storage device is terminated when the residual power of the battery is charged to be greater than or equal to a second threshold value, wherein the first threshold value includes 60%, and the second threshold value includes 80%, 85%, and 90%. An intelligent management system includes an extremely long-range intelligent electric vehicle, including: an intelligent electric motor device for receiving electric energy and converting it into a driving force to drive the extremely long-range intelligent electric vehicle system; a kinetic energy recovery device (KERD) for receiving an intelligent electric motor recovery kinetic energy _Em from the intelligent electric motor device according to the driving force, and a recovery kinetic energy _Eg generated by the intelligent generator device base due to the placement of the front net inclination δ = σ -λ = base inclination - local climb; an intelligent generator device for receiving a total recovery kinetic energy _Et = _Em + _Eg ; and receiving the total recovery kinetic energy Et. _t is converted into a regenerated electric power; and an intelligent power storage device for storing the regenerated electric power and providing the stored regenerated electric power to the intelligent electric motor device for driving; and a management device, including: an intelligent power system operation status database for managing at least one of the model, serial number, type and time code of the extreme endurance intelligent electric vehicle; a test control and data A data collection module is provided for obtaining at least one of the SOC value, the speed value of the smart generator, and the output voltage value of the smart generator of the extreme endurance smart electric vehicle to perform an environmental performance test; and an intelligent power system test operation station is provided for measuring the software program and parameters of the performance of the extreme endurance smart electric vehicle and starting the environmental performance test of the extreme endurance smart electric vehicle. The intelligent management system as described in claim 5, wherein the intelligent power system test operation station queries the intelligent power system operation status database for at least one of an intelligent power system model, an intelligent power system serial number, and an intelligent power system identification code according to a query condition, and downloads the software program and parameters of the performance of the extreme endurance intelligent electric vehicle from the intelligent power system test operation station to the test control and data collection module, and after the software is ready, supplies an external power to the extreme endurance intelligent electric vehicle; performs a performance test on the extreme endurance intelligent electric vehicle after power supply; and when the extreme endurance intelligent electric vehicle is If the performance of the electric vehicle is normal, a control interface of the intelligent power system test operation station starts the intelligent power system; when the performance of the ultimate long-range intelligent electric vehicle is abnormal, a first failure code is reported to the intelligent power system test operation station, and after correction is made according to the first failure code, the state of the ultimate long-range intelligent electric vehicle is checked again, and the execution is repeated until the state of the ultimate long-range intelligent electric vehicle is normal; when the performance of the ultimate long-range intelligent electric vehicle is normal, the control interface switches to use the internal power supply of the intelligent power system, and switches to power supply by an internal power; check whether the supply of the internal power is normal When the internal power supply is normal, the control interface controls to shut down the external power supply; when the internal power supply is abnormal, a second failure code is reported to the intelligent power system test operation station, and the internal power supply is checked again after correction according to the second failure code, and the operation is repeated until the internal power supply is normal; the intelligent power system test operation station issues an instruction to perform a performance test on the extreme endurance smart electric vehicle; a performance test information processing module of the intelligent management system inputs an operation status data to the extreme endurance smart electric vehicle from an initial state. The intelligent electric vehicle with extreme endurance is tested and a test result is output to the intelligent power system test operation station; the environmental performance test is performed according to the SOC value, the speed value of the intelligent generator and the output voltage value of the intelligent generator in the test result; a control signal obtained by the intelligent power system test operation station is fed back to the extremely endurance intelligent electric vehicle for control, and the operation status data of the extremely endurance intelligent electric vehicle is collected and transmitted to the intelligent power system operation status database until the operation status meets a stop performance test condition; and the intelligent power system performance evaluation result is displayed according to the operation status data. The intelligent management system as described in claim 6, wherein the intelligent power system operation status database is configured to provide the software program of the extremely long-range intelligent electric vehicle or the operation status data, and the intelligent power system operation status database includes: an operation status data object input processor, processing and responding to the storage of the software program of the extremely long-range intelligent electric vehicle or the operation status data; a query processor, processing and responding to the storage of the extremely long-range intelligent electric vehicle; a query request for the software program of the electric vehicle or the operating status data; an output processor, processing the software program of the electric vehicle with extreme endurance or the operating status data to capture a usage requirement; an index database, storing an index value of the software program of the electric vehicle with extreme endurance or the operating status data; and an intelligent power system operating status data file storage system, storing the operating status data of the electric vehicle with extreme endurance. As described in claim 7, the file format of the operation status data of the extreme endurance smart electric vehicle includes: a file header identification code field, a smart power system identification code field, a smart generator device performance information field, a kinetic energy recovery device KERD performance information field, a smart power storage device performance information field, and a smart power system performance information field, wherein the smart power system identification code field includes a kinetic energy recovery device model subfield, a smart motor device identification code subfield, a smart generator device identification code subfield, and a smart power storage device identification code subfield. The intelligent management system as described in claim 8, wherein the intelligent power system operation status database is further used to perform the following steps to store the software program of the extremely long-range intelligent electric vehicle or the operation status data in the intelligent power system operation status database: converting the index value into a first data object; converting the software program of the extremely long-range intelligent electric vehicle or the operation status data obtained by multiple paths into a Software object; converting the software program or the operating status data of the extreme endurance smart electric vehicle read from multiple storage media into a second data object; Writing the archive path and file name of the first data object, the second data object and the software object into the index database; and storing the first data object, the second data object and the software object into the smart power system operating status data file storage system. The intelligent management system as claimed in claim 9, wherein the intelligent power system operation status database is further used to perform the following steps to retrieve data from the intelligent power system operation status database: obtain a query index value and provide the query index value to the query processor; convert the query index value into a structured query language (Structured Query Language) by the query processor; Language, SQL) to query to obtain the archive path and file name corresponding to the query index value; the output processor obtains the software program or the operating status data of the extremely long-range smart electric vehicle corresponding to the query index value according to the archive path and file name corresponding to the query index value; and the output processor provides the obtained software program or the operating status data of the extremely long-range smart electric vehicle to the intelligent power system test operation station.

Images