CN106601000B - new energy automobile electric control system and method - Google Patents

Abstract

The invention relates to a new energy electric automobile, in particular to an electric control system and method for the new energy automobile, wherein the new energy automobile comprises a CAN bus, a parameter acquisition device group, a whole automobile controller, a battery pack and a motor, and the electric control system comprises: the system comprises a vehicle-mounted terminal and a vehicle networking cloud service platform; the vehicle-mounted terminal is respectively connected with the parameter acquisition device group and the vehicle control unit through a CAN bus; the vehicle networking cloud service platform is communicated with the vehicle-mounted terminal through a wireless network; the vehicle-mounted terminal transmits the acquired information and the acquired information of the parameter acquisition device group to the Internet of vehicles cloud service platform through a wireless network, acquires the information of the Internet of vehicles cloud service platform, and transmits the information of the Internet of vehicles cloud service platform to the vehicle control unit through a CAN bus, so that the optimal configuration of the battery pack and the motor is realized. The invention can improve the whole performance of the new energy automobile.

Description

A new energy vehicle electronic control system and method

technical field

The invention relates to a new energy electric vehicle, in particular to an electric control system and method for a new energy vehicle.

Background technique

Compared with traditional internal combustion engine vehicles, new energy vehicles are equipped with a lot of electronic devices and electronic modules at the beginning of their appearance. In addition to sensors and controllers for different functions of the body, the three most important technologies for new energy vehicles are batteries, motors and electronic controls. Battery technology focuses on improving energy density and power density, and motor technology focuses on improving energy efficiency, control accuracy and reliability. The electronic control technology involves vehicle control, battery supervision, motor optimization configuration, etc. It is a complex system technology, which not only directly affects the performance of the vehicle. With the rise of Internet of Vehicles technology, the informatization and intelligence of new energy vehicles are becoming more and more important, so electronic control technology is playing an increasingly important role. It can be said that mastering electronic control technology is equivalent to mastering an important link in vehicle manufacturing .

The existing electronic control system does not consider environmental factors in the control of the powertrain system, or it is only roughly divided into different driving modes. For example, the economic mode aims to save energy, and the power mode aims to achieve the best power effect. In fact, the power system of a new energy vehicle is related to many factors, including the operating characteristics of the powertrain system (mainly referring to the motor and battery), the driver's driving behavior, road conditions (uphill, downhill, accumulation of rain and snow, etc.) water or snow or ice, etc.), traffic jams, etc. Only by comprehensively considering the environmental factors of the above four aspects and optimizing the configuration of the powertrain system can the vehicle performance of new energy vehicles be greatly improved and the optimal working state be achieved.

Contents of the invention

The invention provides a new energy electronic control system and method to improve the vehicle performance of the new energy vehicle and realize the optimal working state.

In order to solve the problems of the technologies described above, the technical solution of the present invention is:

An electronic control system for a new energy vehicle, the new energy vehicle includes a CAN bus, a parameter acquisition device group, a vehicle controller, a battery pack, and a motor, wherein the vehicle controller communicates with the battery pack and the motor respectively through the CAN bus connected, the electronic control system includes: a vehicle-mounted terminal, a cloud service platform for the Internet of Vehicles; the vehicle-mounted terminal is respectively connected with the parameter collection device group and the vehicle controller through the CAN bus; the cloud service platform for the Internet of Vehicles is connected through The wireless network communicates with the vehicle-mounted terminal; the vehicle-mounted terminal transmits the collected information and the obtained information of the parameter collection device group to the cloud service platform of the Internet of Vehicles through the wireless network, and obtains the cloud service platform of the Internet of Vehicles for analysis and processing The useful information obtained, and the useful information processed by the Internet of Vehicles cloud service platform is transmitted to the vehicle controller through the CAN bus, so as to realize the optimal configuration of the battery pack and the motor.

Preferably, the vehicle-mounted terminal includes:

Power supply module, communication module, sensor module, navigation module, storage module, display module, and general processor;

The power supply module is electrically connected to the communication module, the sensor module, the navigation module, the storage module, the display module and the general processor respectively, and is respectively the communication module and the sensor module , the navigation module, the storage module, the display module, and the general processor provide power;

The communication module is electrically connected with the general processor, the sensor module, and the navigation module respectively, and the communication module is connected with the vehicle controller and the parameter acquisition device group through the CAN bus, and the communication The module is connected to the Internet of Vehicles cloud service platform through a wireless network; the communication module is used to obtain the information of the parameter collection device group, the information of the sensor module, and the information of the navigation module, and realize the communication with the whole Vehicle control, the communication of the Internet of Vehicles cloud service platform;

The sensor module is electrically connected to the general processor for measuring tire friction and vehicle three-dimensional attitude;

The navigation module is electrically connected to the general processor for navigation and positioning;

The storage module is electrically connected to the general processor for storing local data;

The display module is electrically connected to the general processor for realizing human-computer interaction;

The general processor is configured to acquire information of the communication module, and output data to the communication module, the storage module, and the display module according to the information of the communication module.

Preferably, the set of parameter acquisition devices includes:

Vehicle speed sensor, accelerator pedal sensor;

The vehicle speed sensor is connected to the vehicle-mounted terminal through a CAN bus for collecting vehicle speed signals;

The accelerator pedal sensor is connected to the vehicle terminal through the CAN bus, and is used for collecting the displacement value of the accelerator pedal.

Preferably, the communication module includes:

WIFI module, 3G module, 4G module, USB module, serial port module, CAN communication module;

The WIFI module, the 3G module, and the 4G module are connected to the Internet of Vehicles cloud service platform through a wireless network to realize wireless communication;

The USB module and the serial port module are used to connect with the navigation module, the sensor module and the general processor;

The CAN communication module is connected with the parameter acquisition device group and the vehicle control through the CAN bus to realize CAN bus communication.

An electronic control method for a new energy vehicle, comprising:

The vehicle-mounted terminal collects information and obtains information of the parameter collection device group through the CAN bus, and the vehicle-mounted terminal transmits the collected information and the information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network;

The Internet of Vehicles cloud service platform determines a power optimization configuration scheme according to the information collected by the parameter collection device group and the vehicle-mounted terminal, and transmits the power optimization configuration scheme to the vehicle-mounted terminal through a wireless network;

The in-vehicle terminal transmits the acquired power optimization configuration scheme to the vehicle controller through the CAN bus.

Preferably, the Internet of Vehicles cloud service platform determines the power optimization configuration scheme according to the information collected by the parameter collection device group and the vehicle terminal, including:

The Internet of Vehicles cloud service platform obtains dynamic characteristic parameters through data preprocessing according to the information collected by the parameter collection device group and the vehicle terminal, combined with the information network;

The Internet of Vehicles cloud service platform determines the power optimization configuration scheme through context matching based on the dynamic characteristic parameters and the knowledge base of the cloud service platform.

Preferably, the data preprocessing includes:

The Internet of Vehicles cloud service platform is classified according to the following principles, and the dynamic characteristic parameters are obtained according to the classification category:

Classification of driver intent by accelerator pedal displacement value;

Classify weather conditions, friction conditions, and smooth road conditions through navigation information and vehicle controller information;

The information network is combined with the navigation information, and the current traffic congestion situation is classified according to the vehicle speed signal.

Preferably, the classification categories include:

Driver intention categories: rapid acceleration, normal acceleration, emergency braking, normal braking, slow-moving braking;

The weather conditions are divided into categories: normal, slippery, ice, snow;

The categories of friction force are divided into: level one, level two, level three, level four;

The gentle condition of the road is divided into: flat, gentle uphill, steep uphill, gentle downhill, and steep downhill;

The traffic jam status categories are divided into: smooth, slow, general congestion, and very congestion.

Preferably, the context matching includes:

The Internet of Vehicles cloud service platform compensates the dynamic characteristic parameters as dynamic system parameters to obtain parameter configuration output values, and matches the parameter configuration output values in the cloud service platform knowledge base to determine the power optimization configuration scheme.

Preferably, the electronic control method also includes:

The Internet of Vehicles cloud service platform compares the information collected by the parameter collection device group and the vehicle-mounted terminal acquired again with the information collected by the parameter collection device group and the vehicle-mounted terminal, and evaluates the power optimization configuration scheme according to the comparison results to obtain The best optimal configuration scheme.

The beneficial effects of the present invention are:

In the electronic control system and method of the new energy vehicle provided by the present invention, the vehicle-mounted terminal is connected to the CAN bus of the vehicle and the external sensor module, and can collect real-time running data of the vehicle and transmit it to the Internet of Vehicles cloud service platform; Operating data, comprehensive analysis of the vehicle's powertrain characteristics, driver's intentions, road conditions and traffic congestion, based on the existing cloud service platform knowledge base to make category judgments on the current vehicle status and driving environment, and form the driving force for new energy vehicles Optimize the configuration scheme, and realize the optimal configuration of the vehicle power system through the vehicle terminal.

Description of drawings

Fig. 1 is a schematic structural diagram of an electronic control system for a new energy vehicle according to an embodiment of the present invention.

Fig. 2 is a schematic structural diagram of a vehicle-mounted terminal in an electronic control system of a new energy vehicle according to an embodiment of the present invention.

Fig. 3 is a flowchart of an electronic control method for a new energy vehicle according to an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to further understand the features and technical contents of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and implementation methods.

Aiming at the problem that the current new energy vehicle electronic control system does not consider environmental factors in the control of the powertrain system, the embodiment of the present invention provides a new energy vehicle electronic control system and method to improve the performance of the new energy vehicle and achieve optimal performance. working status.

As shown in FIG. 1 is a schematic structural diagram of an electronic control system for a new energy vehicle according to an embodiment of the present invention. The new energy vehicle includes a CAN bus, a parameter collection device group, a vehicle controller, a battery pack, and a motor, wherein the vehicle controller is connected to the battery pack and the motor respectively through the CAN bus.

The electronic control system includes: a vehicle-mounted terminal and a cloud service platform for the Internet of Vehicles; the vehicle-mounted terminal is respectively connected to the parameter collection device group and the vehicle controller through a CAN bus; the cloud service platform for the Internet of Vehicles is connected through a wireless network Communicating with the vehicle-mounted terminal; the vehicle-mounted terminal transmits the collected information and the acquired information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network, and obtains the information of the Internet of Vehicles cloud service platform, and The information of the Internet of Vehicles cloud service platform is transmitted to the vehicle controller through the CAN bus, so as to realize the optimal configuration of the battery pack and the motor.

It should be noted that the above-mentioned vehicle-mounted terminal uses an ARM processor core. As shown in Figure 2, the vehicle-mounted terminal includes: a power supply module, a communication module, a sensor module, a navigation module, a storage module, a display module, and a general processor. The hardware structure in the vehicle terminal is introduced:

1) In the vehicle-mounted terminal, the power module is electrically connected to the communication module, the sensor module, the navigation module, the storage module, the display module, and the general processor respectively, and is respectively the communication module, the sensor module, the navigation module, and the Stable power input is provided by the storage module, the display module and the general processor.

2) The communication module is electrically connected with the general processor, the sensor module, and the navigation module respectively, and the communication module is connected with the vehicle controller and the parameter acquisition device group through the CAN bus, and the communication module is connected with the set through a wireless network. connected to the Internet of Vehicles cloud service platform; the communication module is used to obtain the information of the parameter collection device group, the information of the sensor module, and the information of the navigation module, and realize the communication with the vehicle control and the vehicle Networked cloud service platform communication;

Specifically, as shown in Figure 2, the communication module includes: WIFI module, 3G module, 4G module, USB module, serial port module, CAN communication module;

Wherein, the WIFI module, the 3G module, and the 4G module are connected to the Internet of Vehicles cloud service platform through a wireless network to realize wireless communication;

The USB module and the serial port module are used to connect with the navigation module, the sensor module and the general processor to realize the internal control and data transmission of the vehicle terminal;

The CAN communication module is connected with the parameter acquisition device group and the vehicle control through the CAN bus to realize CAN bus communication.

It should be noted that the communication module in this embodiment also includes a Bluetooth module, which can realize wireless short-distance communication inside the vehicle.

3) The sensor module is electrically connected to the communication module for measuring the tire friction force and the three-dimensional attitude of the vehicle;

Specifically, the sensor module includes a tire friction sensor for measuring tire friction, and a vehicle three-dimensional attitude sensor for recording the vehicle's three-dimensional attitude; further, through the data of the tire friction sensor and the vehicle's three-dimensional attitude sensor, it is convenient for the Internet of Vehicles cloud service platform to obtain vehicle information. Tire friction and road smoothness are conducive to the classification of road conditions by the Internet of Vehicles cloud service platform.

It should be noted that, in the embodiment of the present invention, the tire friction sensor and the three-dimensional attitude sensor in the sensor module are connected to the USB module in the communication module to realize the control and data transmission inside the vehicle terminal. Of course, the sensor module can also be connected with other modules in the communication module (such as serial port module, CAN communication module, etc.) to realize the control and data transmission inside the vehicle terminal.

4) The navigation module is electrically connected to the communication module for navigation and positioning;

Specifically, the navigation module includes GPS and Beidou. Furthermore, the information of the navigation module can facilitate the cloud service platform of the Internet of Vehicles to obtain the location information of the vehicle, which is conducive to the cloud service platform of the Internet of Vehicles to classify the road conditions.

It should be noted that, in the embodiment of the present invention, the GPS and Beidou in the navigation module are connected to the serial port module in the communication module, so as to realize the control and data transmission inside the vehicle terminal. Of course, the navigation module can also be connected with other modules in the communication module (such as serial port module, CAN communication module, etc.) to realize the control and data transmission inside the vehicle terminal.

5) The storage module is electrically connected to the general processor for storing local data;

6) The display module is electrically connected to the general processor for realizing human-computer interaction;

7) general processor, has ARM kernel, is used for obtaining the information of communication module, and outputs data to communication module, storage module, display module according to the information of communication module; , analysis data, data output and other main functions.

To sum up, the main functions of the on-board terminal are: read the data transmitted by the vehicle controller and parameter acquisition device in the CAN communication module by mobilizing the underlying driver program, analyze the data according to a certain protocol and data format, and combine The information transmitted by the sensor module in the CAN communication module obtains the real-time operation data of the vehicle, and transmits the above-mentioned real-time operation data to the Internet of Vehicles platform through the wireless network through the WIFI module, 3G module, and 4G module in the communication module; and obtains the information of the Internet of Vehicles The information of the cloud service platform, after processing the information of the Internet of Vehicles cloud service platform, transmits it to the vehicle controller through the CAN communication module, and the vehicle controller implements the vehicle terminal information obtained according to the obtained vehicle terminal information. The optimized configuration of the battery pack and the motor.

Among them, the real-time running data of the vehicle includes: vehicle speed v, position p(x, y), acceleration/brake pedal displacement a, tire friction force F, etc.

In this embodiment, the parameter acquisition device group includes: a vehicle speed sensor and an accelerator pedal sensor; the vehicle speed sensor is connected to the vehicle-mounted terminal through a CAN bus to collect vehicle speed signals; the accelerator pedal sensor is connected to the vehicle-mounted terminal through a CAN bus, It is used to collect the displacement value of the accelerator pedal. Furthermore, the information of the accelerator pedal sensor can facilitate the cloud service platform of the Internet of Vehicles to judge the driver's driving intention, thereby classifying the vehicle's operating conditions; the information of the vehicle speed sensor can facilitate the cloud service platform of the Internet of Vehicles to classify the current traffic congestion.

In FIG. 1 , the parameter collection device group includes sensor 1 and sensor 2, wherein sensor 1 is a vehicle speed sensor, and sensor 2 is an accelerator pedal sensor. Of course, the parameter collection device group may also include other sensors, which are not limited here.

The Internet of Vehicles cloud service platform is responsible for a series of functions such as data collection, data processing, information release, data storage and retrieval, and service access. In this embodiment, the main function of the Internet of Vehicles cloud service platform is to receive the current The vehicle's power system characteristics, vehicle speed signal, accelerator pedal displacement value, tire friction, GPS information or Beidou information, etc., and classify each parameter received, and analyze the weather conditions and traffic congestion according to the current vehicle location combined with the information network The conditions are judged and classified to obtain the dynamic characteristic parameters; combined with the description of various complex driving environments in the knowledge base of the cloud service platform, the comprehensive judgment and matching are carried out to obtain the power optimization configuration plan, and finally the power optimization configuration plan is passed through wireless The network is sent to the vehicle terminal, and the vehicle terminal sends the power optimization configuration plan to the vehicle controller through the CAN bus, so as to realize the configuration of the vehicle powertrain system, especially the optimal configuration of the battery pack and motor. The Internet of Vehicles cloud service platform also obtains the effect of the previous configuration through the return and analysis of the real-time operation data of the whole vehicle at the next moment, and stores the parameters and results of this configuration in the knowledge base of the cloud service platform in a weighted manner In the process, the optimal optimal configuration scheme is obtained, which provides a more reliable judgment basis for the subsequent parameter configuration.

Furthermore, in addition to the above-mentioned remote optimization and configuration functions, the Internet of Vehicles cloud service platform can also implement more abundant Internet of Vehicles functions such as safety monitoring, energy consumption analysis, driving evaluation, and smart experts based on the vehicle operation data obtained from the vehicle-mounted terminal.

It should be noted that the knowledge base of the cloud service platform in the Internet of Vehicles cloud service platform is a model trained from a large amount of data collected from different vehicles, different drivers, and different operating environments. Road conditions and traffic congestion related parameters can output a reasonable parameter configuration compensation value; in the embodiment of the present invention, the Internet of Vehicles cloud service platform will firstly carry out data preprocessing to various data collected to obtain dynamic characteristic parameters ( The collected various data are classified), and then the dynamic feature parameters are put into the knowledge base of the cloud service platform for context matching (that is, the classified data is matched in the knowledge base of the cloud service platform), and the current comprehensive The input and output of the model with the most similar environment, so as to determine the power optimization configuration scheme.

To sum up, the inherent characteristics of the vehicle include the powertrain characteristics of the powertrain system, and the powertrain characteristics of the powertrain system include curb weight, drag coefficient, motor power, motor speed, motor torque, battery voltage, battery capacity , transmission speed ratio, etc.; while the driver's driving intention, the road environment where the vehicle operates, and traffic congestion are the actual external environment of the vehicle; Based on the actual external environment of the vehicle, the remote optimal configuration of the powertrain system is completed, especially the remote optimal configuration of the battery pack and the power characteristics of the motor.

In this embodiment, the function of the vehicle controller is mainly to configure the power system of the vehicle according to the power optimization configuration scheme sent by the vehicle terminal. Specifically, the vehicle controller mainly configures the output of the battery pack and the motor , that is to say, the vehicle controller sends the vehicle terminal to optimize the configuration plan, which is implemented specifically in the battery pack and motor, thereby changing the power characteristics of the battery pack and motor, and finally enabling the vehicle to achieve more power while satisfying the power requirements. good economy.

In the new energy vehicle electronic control system of the embodiment of the present invention, the vehicle terminal transmits the collected information and the obtained information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network, and obtains the information of the Internet of Vehicles cloud service platform Information, and the information of the Internet of Vehicles cloud service platform is transmitted to the vehicle controller through the CAN bus, so as to realize the optimal configuration of the battery pack and the motor. On the basis of knowing the inherent characteristics of the vehicle powertrain system, it considers the actual external environment of the vehicle, and obtains an optimal configuration plan for the vehicle powertrain system (especially the battery pack and motor). The implementation of the optimized configuration plan improves the vehicle performance of new energy vehicles and realizes the optimal working state of the vehicle.

Correspondingly, an embodiment of the present invention provides an electronic control method for a new energy vehicle aimed at the above-mentioned electronic control system. The electronic control method includes:

The vehicle-mounted terminal collects information and obtains information of the parameter collection device group through the CAN bus, and the vehicle-mounted terminal transmits the collected information and the information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network;

The Internet of Vehicles cloud service platform determines a power optimization configuration scheme according to the information collected by the parameter collection device group and the vehicle-mounted terminal, and transmits the power optimization configuration scheme to the vehicle-mounted terminal through a wireless network;

The in-vehicle terminal transmits the acquired power optimization configuration scheme to the vehicle controller through the CAN bus.

Furthermore, the Internet of Vehicles cloud service platform determines the power optimization configuration scheme according to the information collected by the parameter collection device group and the vehicle terminal, which can be implemented in the following ways:

The Internet of Vehicles cloud service platform obtains dynamic characteristic parameters through data preprocessing according to the information collected by the parameter collection device group and the vehicle-mounted terminal, combined with the information network, and uses the dynamic characteristic parameters, combined with the cloud service platform knowledge base, through context matching The power optimization configuration scheme is determined.

Specifically, the data preprocessing includes: the Internet of Vehicles cloud service platform classifies according to the following principles, and obtains the dynamic characteristic parameters according to the classification category:

Classification of driver intent by accelerator pedal displacement value;

Classify weather conditions, friction conditions, and smooth road conditions through navigation information and vehicle controller information;

The information network is combined with the navigation information, and the current traffic congestion situation is classified according to the vehicle speed signal.

Furthermore, the classification categories include:

Driver intention categories: rapid acceleration, normal acceleration, emergency braking, normal braking, slow-moving braking;

The weather conditions are divided into categories: normal, slippery, ice, snow;

The categories of friction force are divided into: level one, level two, level three, level four;

The gentle condition of the road is divided into: flat, gentle uphill, steep uphill, gentle downhill, and steep downhill;

The traffic jam status categories are divided into: smooth, slow, general congestion, and very congestion.

Specifically, the context matching includes: the Internet of Vehicles cloud service platform compensates the dynamic characteristic parameters as dynamic system parameters to obtain parameter configuration output values, and matches the parameter configuration output values in the cloud service platform knowledge base, To determine the power optimization configuration scheme.

In this embodiment, in order to make the power optimization configuration scheme more and more reliable, the electronic control method also includes:

The Internet of Vehicles cloud service platform compares the information of the parameter collection device group and the vehicle controller acquired again with the information of the parameter collection device group and the vehicle controller, and evaluates the power optimization configuration scheme according to the comparison results, In order to get the best optimal configuration scheme.

Below in conjunction with Fig. 3, the electronic control method of the new energy vehicle according to the embodiment of the present invention is introduced in detail:

Step 101. Data collection.

Specifically, the vehicle-mounted terminal collects information and obtains information of the parameter collection device group through the CAN bus, and the vehicle-mounted terminal transmits the collected information and the information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network.

It should be noted that the vehicle-mounted terminal collects the tire friction force and the three-dimensional posture of the vehicle through the sensor module; the position of the vehicle is collected through the navigation module, and the information of the parameter collection device group is obtained through the CAN bus module in the communication module, and the information of the parameter collection device group is mainly It is the vehicle speed signal and the displacement value of the accelerator pedal; the general processor of the vehicle terminal reads the data transmitted by the CAN bus module in the communication module by mobilizing the underlying driver program, and collects the information and parameter acquisition device of the vehicle terminal according to a certain protocol and data format Group information is analyzed to obtain real-time vehicle operation data, among which, vehicle real-time operation data mainly include: vehicle speed v, position p(x, y), acceleration/brake pedal displacement a, tire friction force F, vehicle general processing The controller transmits the real-time running data of the vehicle to the cloud service platform of the Internet of Vehicles through the wireless network.

Step 102. Data preprocessing.

Specifically, after the cloud service platform of the Internet of Vehicles receives the real-time operation data of the vehicle, it classifies according to the following principles, and obtains the dynamic characteristic parameters according to the classification category:

The driver's intention is classified by the accelerator pedal displacement value, and the driver's intention category is rapid acceleration, normal acceleration, emergency braking, normal braking, and slow braking;

Classify weather conditions, friction conditions, and smooth road conditions through navigation information (GPS information in the navigation module or Beidou information in the navigation module) and vehicle controller information. The weather conditions are divided into: normal, slippery, ice-covered, Snow-covered; friction conditions are divided into: level one (highway), level two (normal urban roads), level three (damaged urban roads), level four (country roads); smooth road conditions are divided into flat, gentle slopes Up, up on a steep slope, down on a gentle slope, down on a steep slope;

Combining the information network in step 103 by navigation information (GPS information in the navigation module or Beidou information in the navigation module), and classifying the current traffic congestion situation according to the vehicle speed signal, the traffic congestion status category is divided into: smooth, slow, general congestion, Very congested.

The Internet of Vehicles cloud service platform obtains the dynamic characteristic parameters according to the classification categories: driver intention a, influence of weather conditions on the road m, road friction n, road smoothness o, and average vehicle speed V on the road section.

Step 103. Obtain information network information.

Specifically, the Internet of Vehicles cloud service platform is connected to the Internet and obtains Internet network information in real time through the Internet, such as weather information, congestion information, road information, etc. Note that the information network here may also be other networks, which are not limited in this embodiment of the present invention.

Step 104. Context matching.

Specifically, the Internet of Vehicles cloud service platform compensates the dynamic feature parameters in step 102 as dynamic system parameters to obtain parameter configuration output values, and matches the parameter configuration output values in the cloud service platform knowledge base to determine the Power optimization configuration scheme.

It should be noted that the dynamic characteristic parameter compensation is mainly the compensation output of the dynamic characteristic parameter to the optimal configuration of the power system according to the actual driving environment. , the friction condition n of the road, the gentle condition o of the road, the input function of the average vehicle speed V of the road section, for example, the parameter configuration output value G=g+f(a, m, n, o, v), wherein, g is the vehicle Intrinsic parameters of the power system, a is the driver's intention, m is the impact of weather conditions on the road, n is the friction of the road, o is the smoothness of the road, and V is the average speed of the road section. f(a, m, n, o, v) is the compensation output for the optimal configuration of the power system according to the actual driving environment.

Step 105. Cloud service platform knowledge base information.

It should be noted that the knowledge base of the cloud service platform in the Internet of Vehicles cloud service platform is a model trained from a large amount of data collected from different vehicles, different drivers, and different operating environments. For inputting driver intention a, weather The impact of the situation on the road m, the friction of the road n, the smoothness of the road o, the average speed V of the road section, can output a reasonable parameter compensation value for the inherent parameters of the vehicle power system, because the knowledge base of the cloud service platform has covered all Therefore, we must be able to find a very close historical situation and use its output as the output of this match.

Step 106. Get the power optimization configuration scheme.

The Internet of Vehicles cloud service platform determines a power optimization configuration scheme according to the information collected by the parameter collection device group and the vehicle-mounted terminal, and transmits the power optimization configuration scheme to the vehicle-mounted terminal through a wireless network;

In order to optimize the system, the Internet of Vehicles cloud service platform compares the information collected by the parameter collection device group and the vehicle terminal acquired again with the parameter collection device group and the information collected by the vehicle terminal obtained last time, and optimizes the configuration of the power according to the comparison results. The scheme is evaluated to obtain the best optimal configuration scheme. And store the optimal optimal configuration scheme in the knowledge base of the cloud service platform.

Specifically, the vehicle-mounted terminal will receive the optimized configuration plan to optimize the output of the battery pack and motor through the vehicle controller, and collect the driver's intention and vehicle driving data at the next moment for effect analysis, and carry out coefficient weighting according to the configuration effect. Store the coefficient-weighted data in the knowledge base of the cloud service platform, that is, G′=wG. The value of w depends on the effect of this parameter optimization configuration. If the optimized configuration not only satisfies the driver’s power demand for the vehicle, but also achieves the goal of economy, then w=1; if it is detected that the driver has the same For driving intention, w takes a value between 0 and 1 according to the actual situation. Of course, there may be many ways to evaluate the power optimization configuration scheme according to the comparison results, not limited to the above-mentioned way of weighting the coefficients, which is not specifically limited in this embodiment.

Step 107. Implement the optimized configuration scheme.

The vehicle-mounted terminal transmits the acquired power optimization configuration plan to the vehicle controller through the CAN bus, and the vehicle controller optimizes the configuration of the output of the battery pack and the motor.

To sum up, in the new energy vehicle electronic control system and method provided by the embodiments of the present invention, the vehicle terminal transmits the collected information and the obtained information of the parameter collection device group to the Internet of Vehicles cloud service platform through a wireless network, and obtains The information of the Internet of Vehicles cloud service platform, and the information of the Internet of Vehicles cloud service platform is transmitted to the vehicle controller through the CAN bus, so as to realize the optimal configuration of the battery pack and the motor. The Internet of Vehicles cloud service platform transmits the optimized configuration plan to the vehicle-mounted terminal to realize the configuration of the power system by the vehicle controller, and then returns and analyzes the real-time operation data of the vehicle at the next moment to obtain the effect of this optimized configuration. , so as to obtain the best optimal configuration scheme, which provides a judgment basis for the subsequent optimal configuration. The electronic control system and method of the new energy vehicle optimizes the configuration of the powertrain system, greatly improves the vehicle performance of the new energy vehicle, and realizes the optimal working state of the vehicle.

The embodiments of the present invention have been described in detail above, and the present invention has been described by using specific implementation methods in this paper. The description of the above embodiments is only used to help understand the system and method of the present invention; at the same time, for those skilled in the art, According to the idea of the present invention, there will be changes in the specific implementation and scope of application. To sum up, the contents of this specification should not be construed as limiting the present invention.

Claims (8)

1. The utility model provides a new energy automobile electrical system, new energy automobile includes CAN bus, parameter acquisition device group, vehicle control unit, group battery and motor, wherein vehicle control unit passes through the CAN bus and is connected with group battery, motor respectively, its characterized in that, electrical system includes: the system comprises a vehicle-mounted terminal and a vehicle networking cloud service platform; the vehicle-mounted terminal is respectively connected with the parameter acquisition device group and the vehicle control unit through a CAN bus; the vehicle networking cloud service platform is communicated with the vehicle-mounted terminal through a wireless network; the vehicle-mounted terminal transmits the acquired information and the acquired information of the parameter acquisition device group to the vehicle-mounted network cloud service platform through a wireless network, and the vehicle-mounted network cloud service platform determines a power optimization configuration scheme according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal and transmits the power optimization configuration scheme to the vehicle-mounted terminal through the wireless network;

the vehicle-mounted terminal transmits the acquired power optimization configuration scheme to the vehicle control unit through a CAN bus so as to realize the optimization configuration of the battery pack and the motor;

the Internet of vehicles cloud service platform determines a power optimization configuration scheme according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal, and comprises the following steps:

The Internet of vehicles cloud service platform obtains dynamic characteristic parameters through data preprocessing by combining an information network according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal;

The dynamic characteristic parameters of the Internet of vehicles cloud service platform are combined with a cloud service platform knowledge base, and the dynamic optimization configuration scheme is determined through situation matching;

The Internet of vehicles cloud service platform compares the information acquired by the parameter acquisition device group and the vehicle-mounted terminal, and evaluates the power optimization configuration scheme according to the comparison result to obtain an optimal optimization configuration scheme;

meanwhile, a knowledge base of the Internet of vehicles cloud service platform is a model trained from a large amount of data acquired under different vehicles, different drivers and different operating environments, a reasonable parameter configuration output value can be output for input driver intentions, road conditions and traffic jam conditions, and the Internet of vehicles cloud service platform carries out context matching on the parameter configuration output value in the knowledge base of the cloud service platform to obtain model input and output which are most similar to the current comprehensive environment, so that a power optimization configuration scheme is determined.

2. the electric control system of the new energy automobile according to claim 1, wherein the vehicle-mounted terminal comprises:

the system comprises a power supply module, a communication module, a sensor module, a navigation module, a storage module, a display module and a general processor;

The power module is respectively and electrically connected with the communication module, the sensor module, the navigation module, the storage module, the display module and the main processor and respectively provides power for the communication module, the sensor module, the navigation module, the storage module, the display module and the main processor;

The communication module is respectively and electrically connected with the main processor, the sensor module and the navigation module, the communication module is connected with the vehicle control unit and the parameter acquisition device group through a CAN bus, and the communication module is connected with the Internet of vehicles cloud service platform through a wireless network; the communication module is used for acquiring information of the parameter acquisition device group, information of the sensor module and information of the navigation module and realizing communication with the whole vehicle control and the Internet of vehicles cloud service platform;

The sensor module is electrically connected with the communication module and is used for measuring the friction force of the tire and the three-dimensional posture of the vehicle;

The navigation module is electrically connected with the communication module and is used for navigation and positioning;

the storage module is electrically connected with the main processor and used for storing local data;

the display module is electrically connected with the main processor and used for realizing human-computer interaction;

And the main processor is used for acquiring the information of the communication module and outputting data to the communication module, the storage module and the display module according to the information of the communication module.

3. The electric control system of the new energy automobile according to claim 1, wherein the parameter acquisition device group comprises:

A vehicle speed sensor and an accelerator pedal sensor;

the vehicle speed sensor is connected with the vehicle-mounted terminal through a CAN bus and used for collecting vehicle speed signals;

the accelerator pedal sensor is connected with the vehicle-mounted terminal through a CAN bus and used for collecting the displacement value of the accelerator pedal.

4. the electric control system of the new energy automobile according to claim 2, wherein the communication module comprises:

the system comprises a WIFI module, a 3G module, a 4G module, a USB module, a serial port module and a CAN communication module;

The WIFI module, the 3G module and the 4G module are connected with the Internet of vehicles cloud service platform through a wireless network and used for realizing wireless communication;

the USB module and the serial port module are used for being connected with the navigation module, the sensor module and the main processor;

The CAN communication module is connected with the parameter acquisition device group and the whole vehicle control through a CAN bus and is used for realizing CAN bus communication.

5. an electric control method for a new energy automobile is characterized by comprising the following steps:

The method comprises the steps that a vehicle-mounted terminal collects information and obtains information of a parameter collection device group through a CAN bus, and the vehicle-mounted terminal transmits the collected information and the information of the parameter collection device group to a vehicle networking cloud service platform through a wireless network;

the Internet of vehicles cloud service platform determines a power optimization configuration scheme according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal, and transmits the power optimization configuration scheme to the vehicle-mounted terminal through a wireless network;

the vehicle-mounted terminal transmits the acquired power optimization configuration scheme to the vehicle controller through a CAN bus;

the Internet of vehicles cloud service platform determines a power optimization configuration scheme according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal, and comprises the following steps:

the Internet of vehicles cloud service platform obtains dynamic characteristic parameters through data preprocessing by combining an information network according to the information acquired by the parameter acquisition device group and the vehicle-mounted terminal;

the dynamic characteristic parameters of the Internet of vehicles cloud service platform are combined with a cloud service platform knowledge base, and the dynamic optimization configuration scheme is determined through situation matching;

The Internet of vehicles cloud service platform compares the information acquired by the parameter acquisition device group and the vehicle-mounted terminal, and evaluates the power optimization configuration scheme according to the comparison result to obtain an optimal optimization configuration scheme;

The knowledge base of the Internet of vehicles cloud service platform is a model trained from a large amount of data acquired under different vehicles, different drivers and different operating environments, a reasonable parameter configuration output value can be output for input driver intentions, road conditions and traffic jam conditions, the Internet of vehicles cloud service platform carries out context matching on the parameter configuration output value in the knowledge base of the cloud service platform to obtain model input and output which are most similar to the current comprehensive environment, and therefore a power optimization configuration scheme is determined.

6. The electric control method of the new energy automobile according to claim 5, characterized in that the data preprocessing comprises:

the Internet of vehicles cloud service platform is classified according to the following principle, and the dynamic characteristic parameters are obtained according to classification types:

Classifying the intention of the driver through the displacement value of the accelerator pedal;

classifying weather conditions, friction conditions and road mild conditions through navigation information and vehicle control unit information;

and classifying the current traffic jam condition according to the vehicle speed signal by combining navigation information with the information network.

7. The electric control method of the new energy automobile according to claim 6, wherein the classification categories include:

Driver intention category: quick acceleration, normal acceleration, emergency braking, normal braking and slow running braking;

the weather conditions are classified into: normal, wet and slippery, ice-covered and snow-covered;

the categories of friction conditions are: first-stage, second-stage, third-stage and fourth-stage;

The road mild condition categories are: flat, gentle slope ascending, steep slope ascending, gentle slope descending and steep slope descending;

The traffic congestion state categories are: smooth, slow, general jam, very congested.

8. The electric control method of the new energy automobile according to any one of claims 5 to 7, wherein the context matching comprises:

and the Internet of vehicles cloud service platform performs dynamic system parameter compensation on the dynamic characteristic parameters to obtain parameter configuration output values, and the parameter configuration output values are matched in a cloud service platform knowledge base to determine the power optimization configuration scheme.