[go: up one dir, main page]

CN111873805A - Vehicle energy consumption analysis method and system - Google Patents

Vehicle energy consumption analysis method and system Download PDF

Info

Publication number
CN111873805A
CN111873805A CN202010728277.1A CN202010728277A CN111873805A CN 111873805 A CN111873805 A CN 111873805A CN 202010728277 A CN202010728277 A CN 202010728277A CN 111873805 A CN111873805 A CN 111873805A
Authority
CN
China
Prior art keywords
consumption
energy consumption
vehicle
power
motor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010728277.1A
Other languages
Chinese (zh)
Inventor
张波
赵晨
邓承浩
喻成
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Changan New Energy Automobile Technology Co Ltd
Original Assignee
Chongqing Changan New Energy Automobile Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Changan New Energy Automobile Technology Co Ltd filed Critical Chongqing Changan New Energy Automobile Technology Co Ltd
Priority to CN202010728277.1A priority Critical patent/CN111873805A/en
Publication of CN111873805A publication Critical patent/CN111873805A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12Recording operating variables ; Monitoring of operating variables
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/10Vehicle control parameters
    • B60L2240/12Speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/42Drive Train control parameters related to electric machines
    • B60L2240/421Speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/42Drive Train control parameters related to electric machines
    • B60L2240/423Torque
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/547Voltage
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/549Current
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/60Navigation input
    • B60L2240/64Road conditions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/60Navigation input
    • B60L2240/66Ambient conditions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00Operating Modes
    • B60L2260/40Control modes
    • B60L2260/50Control modes by future state prediction
    • B60L2260/54Energy consumption estimation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention provides a vehicle energy consumption analysis method and a vehicle energy consumption analysis system, which are characterized in that operation data and external environment data of a vehicle are collected at first, the operation data and the external environment data are transmitted to a cloud for data processing, after relevant data are processed by the cloud, various energy consumptions and occupation ratios of the energy consumptions in the whole vehicle energy consumption are analyzed according to calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high-low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery, reasons of energy consumption generation in the driving process are output to a user based on the calculation results of the energy consumptions, and suggestions for improving the driving style are provided to the user through a display module. The technical problems that in the prior art, only the actual consumption value in the energy consumption process can be monitored, the actual energy consumption value cannot be decomposed, and then the energy consumption cannot be analyzed from different dimensions are solved.

Description

Vehicle energy consumption analysis method and system
Technical Field
The invention relates to the technical field of vehicle development, in particular to a vehicle energy consumption analysis method and system.
Background
The energy consumption of the vehicle is an important parameter of the vehicle running process, so that the analysis of the vehicle energy consumption influence factors is very important in the aspect of product economy analysis. Aiming at the driving environment of a user, the energy consumption level of a driver in the driving process has individual difference due to different driving styles, different vehicle types and different road conditions. The driving energy consumption of the user can be decomposed through three main dimensions of people, vehicles and roads, reasonable driving suggestions are provided for the user from the driving habits, vehicle type differences and environment differences of the user, and optimization design suggestions are provided for automobile manufacturers.
Most of the existing energy consumption evaluation models only monitor the actual consumption value in the energy consumption process and evaluate the driving of the user according to the energy consumption speed, the actual energy consumption value is not decomposed, and the energy consumption source of the user is analyzed from different dimensions, so that the energy consumption expression in the driving process of the user can be only analyzed, and the reason of the energy consumption can not be deeply dug.
Therefore, it is necessary to develop a vehicle energy consumption analysis method and system.
Disclosure of Invention
In view of this, the present invention provides a vehicle energy consumption analysis method and system, which are used to solve the technical problems that in the prior art, only the actual consumption value in the energy consumption process can be monitored, the actual energy consumption value cannot be decomposed, and thus the energy consumption cannot be analyzed from different dimensions.
In a first aspect, the present invention provides a vehicle energy consumption analysis method, including the following steps:
step 1, collecting running data and external environment data of a vehicle, and transmitting the running data and the external environment data to a cloud for data processing, wherein the running data comprises an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, high and low voltage electric appliance power signals, a battery current signal, battery voltage information, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal;
step 2, after the data are processed in the cloud, analyzing various energy consumptions and the occupation ratios of the energy consumptions in the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high-low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery;
and 3, outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module.
Further, the power consumption of the high-voltage and low-voltage loads is obtained by performing sum operation on the input power of the voltage electric appliance and the power of the high-voltage electric appliance and performing integral calculation on the sum operation result, and the input power of the voltage electric appliance is obtained by multiplying the voltage of the low-voltage electric appliance by the current of the low-voltage electric appliance.
Further, the vehicle speed power consumption is a result obtained by dividing power for overcoming resistance to do work by motor efficiency, wherein the motor efficiency is obtained by dividing active power of a motor by input power, the active power of the motor is a numerical value obtained by dividing motor rotation speed by motor torque by 9550 and taking positive value integral, and the input power is a result obtained by subtracting the power consumption of the high-low voltage load from a calculation result obtained by taking the positive value integral of battery power; the power for overcoming resistance work is a result obtained by performing product operation on sliding resistance and vehicle speed and performing integral calculation on the result of the product operation when the torque of the motor is greater than 0, wherein the sliding resistance is determined by the vehicle speed and three sliding resistance parameters.
Further, the acceleration power consumption is obtained by dividing the power of the driving force by the efficiency of the motor, wherein the power of the driving force is obtained by multiplying the driving force by the vehicle speed, and when the torque of the motor is greater than 0, the result of the multiplication is obtained by performing integral calculation, and the driving force is obtained by multiplying the differential value of the vehicle speed by the vehicle mass and taking the output positive value.
Further, the braking power consumption is obtained by subtracting a negative value of the active power output of the motor from a negative value of the driving force work output, and performing integral calculation on the subtraction result when the brake pedal flag is equal to 1.
Further, the environment power consumption is a numerical value obtained by subtracting the acceleration power consumption and the vehicle speed power consumption from the input power, wherein the input power is obtained by dividing the motor efficiency by the motor organic power, and the motor active power is a numerical value obtained by dividing the motor rotation speed by the motor torque by 9550 and integrating a positive value.
Further, the theoretical electric quantity recovery is obtained by performing summation operation on the charging and discharging electric quantity and the braking consumed electric quantity, wherein the charging and discharging electric quantity is obtained by multiplying a calculation result of the battery power after taking the negative value integral by the charging and discharging efficiency, and the value of the charging and discharging efficiency is 0.97.
In a second aspect, the invention further provides a vehicle energy consumption analysis system, which comprises a data acquisition module, a data processing module and a display module, wherein the data acquisition module acquires running data and external environment data of a vehicle through a vehicle-mounted sensor, and transmits the running data and the external environment data to a cloud for data processing, the running data comprises an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, a high-low voltage electric appliance power signal, a battery current signal, battery voltage information, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal; the data processing module is used for processing the data processing and analyzing various energy consumptions and the occupation ratios of the energy consumptions in the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high and low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery; and outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module.
The invention brings the following beneficial effects:
by using the vehicle energy consumption analysis method and system provided by the invention, not only can the actual consumption value in the energy consumption process be detected, but also the actual energy consumption value can be decomposed, the energy consumption sources of the user can be analyzed from different dimensions, and a suggestion for improving the driving style is sent to the user through a central control screen or other display modules, so that the driving energy consumption is reduced. The method also has the advantages of strong universality, strong reference, strong data reliability, multiple evaluation dimensions, high evaluation precision, strong pertinence of evaluation suggestions and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a vehicle energy consumption analysis method provided by the present invention;
FIG. 2 is a schematic structural diagram of a vehicle energy consumption analysis system provided by the present invention;
FIG. 3 is a method for calculating the electric quantity of the high-voltage load and the low-voltage load according to the present invention;
FIG. 4 is a method for calculating electric power consumption of a vehicle according to the present invention;
FIG. 5 is a method for calculating an acceleration power consumption according to the present invention;
FIG. 6 is a method for calculating braking power consumption according to the present invention;
FIG. 7 illustrates a method for calculating environmental power consumption according to the present invention;
fig. 8 is a method for calculating theoretical power recovery according to the present invention.
Detailed Description
As shown in fig. 1, a vehicle energy consumption analysis method includes the following steps:
step 1, collecting running data and external environment data of a vehicle, and transmitting the running data and the external environment data to a cloud for data processing, wherein the running data comprises an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, high and low voltage electric appliance power signals, a battery current signal, battery voltage information, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal;
step 2, after the data are processed in the cloud, analyzing various energy consumptions and the occupation ratios of the energy consumptions in the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high-low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery;
and 3, outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module.
In the embodiment, after the user is powered on or ignited, the central control screen prompts the user whether to analyze the energy consumption, if yes, the vehicle records the data in the driving process and analyzes the driving data; if no, the energy consumption analysis is not carried out in the driving, and the comprehensive energy consumption value is only displayed for the user. After the user selects to perform energy consumption analysis, the collected running data of the vehicle and the collected external environment data are transmitted and stored to the cloud, wherein the running data of the vehicle comprises an accelerator pedal signal, a brake pedal signal, a vehicle speed signal, high and low voltage electric appliance power signals, a battery current signal, a battery voltage signal, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal.
As shown in fig. 2, each data signal uploaded to the cloud is subjected to algorithm model calculation to obtain energy consumption values of 15 key influence factors, such as high vehicle speed consumption, low vehicle speed consumption, rapid acceleration consumption, slow acceleration consumption, rapid deceleration consumption, slow deceleration consumption, refrigeration consumption, heating consumption, low-voltage load consumption, altitude difference consumption, temperature difference consumption, road surface difference consumption, weather difference consumption, braking energy recovery, sliding energy recovery and the like, and the 15 sub-class energy consumption values are further summarized into 6 main consumption types, such as vehicle speed consumption electric quantity, acceleration consumption electric quantity, braking consumption electric quantity, high-low voltage load consumption electric quantity, environment consumption electric quantity, theoretical electric quantity recovery and the like, and contribution ratios of the three influence factors are sorted out based on the most intuitive human, vehicle and road factors. After the calculation is finished, the user data are uploaded to the cloud and are subjected to comprehensive comparison analysis with the previous driving data of the user, TOP5 reasons influencing energy consumption in the driving process are combed, and the analysis result is subjected to cloud data storage. After the cloud data is stored, the analysis result is fed back to the driver, the main energy consumption source of the driver is explained for the current driving, and effective driving suggestions are provided for the driver. The calculation methods of the above 6 main power consumptions, such as vehicle speed power consumption, acceleration power consumption, braking power consumption, high and low voltage load power consumption, environmental power consumption, and theoretical power recovery, are further described.
As shown in fig. 3, the high-low voltage load power consumption is obtained by performing a sum operation on the input power of the voltage-driven appliance and the power of the high-voltage-driven appliance and performing an integral calculation on the final result of the sum operation, the input power of the voltage-driven appliance is obtained by multiplying the voltage of the low-voltage-driven appliance required by the vehicle by the current of the low-voltage-driven appliance, and the input power of the voltage-driven appliance has different input power values according to different power-driven appliances used by a user.
As shown in fig. 4, the vehicle speed power consumption is obtained by dividing the power for working against the resistance by the motor efficiency, where the motor efficiency is obtained by dividing the motor active power by the input power, the motor active power is obtained by dividing the motor rotation speed by the motor torque by 9550 and taking the positive value integral of the motor active power, the input power is obtained by subtracting the power consumption of the high-low voltage load from the calculation result of the battery power by taking the positive value integral of the battery power, and the battery power is obtained by multiplying the battery current by the battery voltage. The power for overcoming resistance work is a result obtained by performing product operation on sliding resistance and vehicle speed and performing integral calculation on the result of the product operation when the torque of the motor is greater than 0, wherein the sliding resistance is determined by the vehicle speed and three sliding resistance parameters. That is, the sliding resistance is obtained by adding the product of the sliding resistance parameter A, the sliding resistance parameter B and the vehicle speed and the product of the sliding resistance parameter C and the square of the vehicle speed.
As shown in fig. 5, the acceleration consumption electric quantity is obtained by dividing the power of the driving force to do work by the motor efficiency. The power of the driving force doing work is obtained by multiplying the driving force and the vehicle speed and performing integral calculation on the result of the product calculation when the torque of the motor is greater than 0, and the driving force is obtained by multiplying the differential value of the vehicle speed and the mass of the whole vehicle and taking the output positive value. The mass of the whole vehicle is usually calculated by adding a standard value of 100kg to the mass of equipment of the vehicle.
As shown in fig. 6, the braking power consumption is obtained by subtracting the negative value of the active power output of the motor from the negative value of the driving force work output, and performing an integral calculation on the subtraction result when the brake pedal flag is equal to 1.
On the premise of calculating the acceleration power consumption and the vehicle speed power consumption, as shown in fig. 7, the environment power consumption is obtained by subtracting the acceleration power consumption from the input power value, and then subtracting the vehicle speed power consumption from the input power value, where the input power is obtained by dividing the motor organic power by the motor efficiency, and the motor active power is obtained by dividing the motor rotational speed by the motor torque by 9550 and integrating the positive values.
The theoretical electric quantity recovery is a result obtained by performing an operation on the charging and discharging electric quantity and the braking consumed electric quantity on the premise of calculating the braking consumed electric quantity, as shown in fig. 8, wherein the charging and discharging electric quantity is obtained by multiplying a calculation result obtained by integrating the negative value of the battery power by the charging and discharging efficiency, and the value of the charging and discharging efficiency is 0.97.
In this embodiment, a vehicle energy consumption analysis system includes a data acquisition module, a data processing module and a display module, wherein, the data acquisition module acquires operation data and external environment data of a vehicle through a vehicle-mounted sensor, and transmits the operation data and the external environment data to a cloud for data processing, the operation data includes an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, high and low voltage electric appliance power signals, a battery current signal, battery voltage information, a motor speed signal and a motor torque signal, and the external environment data includes an environment temperature signal, an altitude change signal and a road condition signal. And the data processing module is used for processing the data processing and analyzing each energy consumption and the proportion thereof in the energy consumption of the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high and low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery. And outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module so as to reduce the energy consumption.

Claims (8)

1. A vehicle energy consumption analysis method is characterized by comprising the following steps:
step 1, collecting running data and external environment data of a vehicle, and transmitting the running data and the external environment data to a cloud for data processing, wherein the running data comprises an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, high and low voltage electric appliance power signals, a battery current signal, battery voltage information, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal;
step 2, after the data are processed in the cloud, analyzing various energy consumptions and the occupation ratios of the energy consumptions in the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high-low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery;
and 3, outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module.
2. The vehicle energy consumption analysis method according to claim 1, wherein the power consumption of the high-voltage and low-voltage loads is obtained by performing a sum operation on input power of a voltage consumer and power of the high-voltage consumer and performing integral calculation on a result of the sum operation, and the input power of the voltage consumer is obtained by multiplying voltage of the low-voltage consumer by current of the low-voltage consumer.
3. The vehicle energy consumption analysis method according to claim 1 or 2, wherein the vehicle speed consumption electric quantity is a result obtained by dividing power for performing work against resistance by motor efficiency, wherein,
the motor efficiency is obtained by dividing the active power of the motor by the input power, the active power of the motor is a numerical value obtained by dividing the rotating speed of the motor by the torque of the motor by 9550 and integrating a positive value, and the input power is a result obtained by subtracting the power consumption of the high-low voltage load from a calculation result obtained by integrating the battery power by the positive value;
the power for overcoming resistance work is a result obtained by performing product operation on sliding resistance and vehicle speed and performing integral calculation on the result of the product operation when the torque of the motor is greater than 0, wherein the sliding resistance is determined by the vehicle speed and three sliding resistance parameters.
4. The vehicle energy consumption analysis method according to claim 3, wherein the acceleration power consumption is obtained by dividing the power of the driving force to do work by the efficiency of the motor, wherein the power of the driving force to do work is obtained by multiplying the driving force by the vehicle speed, and when the torque of the motor is greater than 0, the result of the multiplication is subjected to integral calculation, and the driving force is obtained by multiplying the differential value of the vehicle speed by the mass of the whole vehicle and taking the output positive value.
5. The vehicle energy consumption analysis method according to claim 4, wherein the braking consumed electric quantity is obtained by subtracting a negative value of the motor active power output from a negative value of the driving force work output and integrating the result of the subtraction when the brake pedal flag is equal to 1.
6. The vehicle energy consumption analysis method according to claim 1 or 5, wherein the environmental consumption electric energy is a value obtained by subtracting an acceleration consumption electric energy and a vehicle speed consumption electric energy from an input power, wherein the input power is obtained by dividing a motor active power by a motor efficiency, and the motor active power is obtained by multiplying a motor rotation speed by a motor torque by 9550 and integrating a positive value.
7. The vehicle energy consumption analysis method according to claim 6, wherein the theoretical electric quantity recovery is obtained by performing an operation on a charging and discharging electric quantity and the braking electric consumption quantity, wherein the charging and discharging electric quantity is obtained by multiplying a calculation result obtained by integrating a negative value of the battery power by a charging and discharging efficiency, and the value of the charging and discharging efficiency is 0.97.
8. A vehicle energy consumption analysis system is characterized by comprising a data acquisition module, a data processing module and a display module,
the data acquisition module acquires running data and external environment data of a vehicle through a vehicle-mounted sensor, and transmits the running data and the external environment data to a cloud for data processing, wherein the running data comprises an acceleration pedal signal, a brake pedal signal, a vehicle speed signal, high-low voltage electric appliance power signals, a battery current signal, battery voltage information, a motor rotating speed signal and a motor torque signal, and the external environment data comprises an environment temperature signal, an altitude change signal and a road condition signal;
the data processing module is used for processing the data processing and analyzing various energy consumptions and the occupation ratios of the energy consumptions in the whole vehicle according to the calculation results of vehicle speed electricity consumption, acceleration electricity consumption, braking electricity consumption, high and low voltage load electricity consumption, environment electricity consumption and theoretical electricity recovery;
and outputting reasons of energy consumption generation in the driving process to the user based on the calculation results of the energy consumption, wherein the reasons of energy consumption generation comprise energy consumption related to people, energy consumption related to vehicles and energy consumption related to roads, and proposing a suggestion for improving the driving style to the user through a display module.
CN202010728277.1A 2020-07-24 2020-07-24 Vehicle energy consumption analysis method and system Pending CN111873805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010728277.1A CN111873805A (en) 2020-07-24 2020-07-24 Vehicle energy consumption analysis method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010728277.1A CN111873805A (en) 2020-07-24 2020-07-24 Vehicle energy consumption analysis method and system

Publications (1)

Publication Number Publication Date
CN111873805A true CN111873805A (en) 2020-11-03

Family

ID=73200660

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010728277.1A Pending CN111873805A (en) 2020-07-24 2020-07-24 Vehicle energy consumption analysis method and system

Country Status (1)

Country Link
CN (1) CN111873805A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112485022A (en) * 2020-12-23 2021-03-12 北京新能源汽车股份有限公司 Test method and device for measuring energy recovery efficiency of vehicle
CN112706617A (en) * 2021-01-13 2021-04-27 奇瑞新能源汽车股份有限公司 Method for displaying endurance mileage of electric automobile
CN113177291A (en) * 2021-03-29 2021-07-27 浙江中车电车有限公司 Electric vehicle efficacy analysis method and system based on cloud data platform
CN113428009A (en) * 2021-08-11 2021-09-24 合众新能源汽车有限公司 Electric automobile energy consumption display method and system
CN113640577A (en) * 2021-08-30 2021-11-12 徐州徐工挖掘机械有限公司 Method for testing energy consumption of electric engineering machinery
CN113844261A (en) * 2021-08-20 2021-12-28 合众新能源汽车有限公司 Electric vehicle energy consumption display method and device
CN114919460A (en) * 2022-05-30 2022-08-19 重庆长安新能源汽车科技有限公司 Energy consumption driving range display method for pure electric vehicle
CN116339988A (en) * 2023-03-20 2023-06-27 招商局检测车辆技术研究院有限公司 A cloud computing system for the efficiency of the electric drive system of electric vehicles

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110130885A1 (en) * 2009-12-01 2011-06-02 Bowen Donald J Method and system for managing the provisioning of energy to or from a mobile energy storage device
CN106515478A (en) * 2016-10-27 2017-03-22 合肥工业大学 Online prediction method and device for remaining mileage of electric automobile
CN109376473A (en) * 2018-11-23 2019-02-22 北汽福田汽车股份有限公司 The calculation method and device of vehicle control device, vehicle and its course continuation mileage
CN109552338A (en) * 2018-12-19 2019-04-02 北京理工新源信息科技有限公司 A kind of pure electric automobile ecology driving behavior appraisal procedure and system
CN109720207A (en) * 2018-12-29 2019-05-07 彩虹无线(北京)新技术有限公司 Energy consumption of vehicles analysis method, device and computer-readable medium
CN109747427A (en) * 2019-02-01 2019-05-14 广州小鹏汽车科技有限公司 The method and apparatus of remaining driving ability when estimation electric vehicle arrives at the destination

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110130885A1 (en) * 2009-12-01 2011-06-02 Bowen Donald J Method and system for managing the provisioning of energy to or from a mobile energy storage device
CN106515478A (en) * 2016-10-27 2017-03-22 合肥工业大学 Online prediction method and device for remaining mileage of electric automobile
CN109376473A (en) * 2018-11-23 2019-02-22 北汽福田汽车股份有限公司 The calculation method and device of vehicle control device, vehicle and its course continuation mileage
CN109552338A (en) * 2018-12-19 2019-04-02 北京理工新源信息科技有限公司 A kind of pure electric automobile ecology driving behavior appraisal procedure and system
CN109720207A (en) * 2018-12-29 2019-05-07 彩虹无线(北京)新技术有限公司 Energy consumption of vehicles analysis method, device and computer-readable medium
CN109747427A (en) * 2019-02-01 2019-05-14 广州小鹏汽车科技有限公司 The method and apparatus of remaining driving ability when estimation electric vehicle arrives at the destination

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
华健清: "《理论力学(工程力学第一册)》", 31 October 1989 *
肖浚仿: "《纯电动轿车基础》", 30 April 2018 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112485022A (en) * 2020-12-23 2021-03-12 北京新能源汽车股份有限公司 Test method and device for measuring energy recovery efficiency of vehicle
CN112706617A (en) * 2021-01-13 2021-04-27 奇瑞新能源汽车股份有限公司 Method for displaying endurance mileage of electric automobile
CN113177291A (en) * 2021-03-29 2021-07-27 浙江中车电车有限公司 Electric vehicle efficacy analysis method and system based on cloud data platform
CN113428009A (en) * 2021-08-11 2021-09-24 合众新能源汽车有限公司 Electric automobile energy consumption display method and system
CN113844261A (en) * 2021-08-20 2021-12-28 合众新能源汽车有限公司 Electric vehicle energy consumption display method and device
CN113640577A (en) * 2021-08-30 2021-11-12 徐州徐工挖掘机械有限公司 Method for testing energy consumption of electric engineering machinery
CN114919460A (en) * 2022-05-30 2022-08-19 重庆长安新能源汽车科技有限公司 Energy consumption driving range display method for pure electric vehicle
CN116339988A (en) * 2023-03-20 2023-06-27 招商局检测车辆技术研究院有限公司 A cloud computing system for the efficiency of the electric drive system of electric vehicles

Similar Documents

Publication Publication Date Title
CN111873805A (en) Vehicle energy consumption analysis method and system
CN112433169B (en) Cloud power battery health degree evaluation system and method
CN109532556B (en) Method and system for acquiring endurance mileage of pure electric vehicle
CN113987685B (en) Whole vehicle performance simulation method and device under multiple working conditions of pure electric vehicle
CN111873804A (en) Electric vehicle working condition data generation method and energy consumption evaluation working condition generation method
CN105446316A (en) Pure electric vehicle control unit model in-loop test device and test method thereof
CN110412973B (en) Bench test electric automobile driving robot system based on virtual instrument
CN110098437A (en) A kind of new-energy automobile power battery aging analysis system
CN116080470A (en) Power battery monitoring method and device for electric automobile, server and medium
CN111735638A (en) Evaluation method for braking energy recovery of electric commercial vehicles
CN103049942A (en) Acquisition of in-vehicle sensor data and rendering of aggregate average performance indicators
CN119189695B (en) Coasting energy recovery control method, system, vehicle, and readable storage medium
Belloni et al. An experimental analysis of driver influence on battery electric bus energy consumption
CN112197978A (en) Electric automobile continuation of journey mileage simulation testing arrangement
CN119078532A (en) A method and system for predicting the cruising range and managing the battery capacity of an electric vehicle
Murgovski et al. A methodology and a tool for evaluating hybrid electric powertrain configurations
CN118323090A (en) A mining truck power system, energy control method and simulation environment construction method
CN114228640B (en) Vehicle management system, method and computer equipment for mining vehicles
CN117485340A (en) Braking energy recovery method, vehicle and storage medium
Haiying et al. Simulation system of the performance of power battery for electrical vehicle based on Internet of things
CN115993550A (en) Bench test system and method for endurance mileage and thermal management of automobile
Mediouni et al. Energy Consumption Prediction and Analysis for Electric Vehicles: A Hybrid Approach. Energies 2022, 15, 6490
Mallouh et al. Battery electric vehicle powertrain modeling simulation and performance analysis
CN107161010A (en) Electric car electricity recovery method
CN115292386B (en) Fuel saving calculation method and device related to vehicle sliding state

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20201103

RJ01 Rejection of invention patent application after publication