Control system and method for estimating endurance mileage of new energy automobile
Through the self-learning energy consumption estimation system, combined with the collaborative work of ICM, VCU, central control large screen and TBOX, the problem of inaccurate range estimation of new energy vehicles has been solved, more accurate range estimation, and enhanced vehicle competition. Power and a sense of technology.
Patent Information
- Application Number
- CN202411748178.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-02-14
AI Technical Summary
The existing cruising range estimation methods for new energy vehicles are not accurate enough, and are greatly affected by driving conditions and environment, resulting in drivers' anxiety and competitiveness decline.
Using a self-learning energy consumption estimation system, the ICM instrument display control system, VCU vehicle controller, central control large screen and TBOX remote control terminal collaborative work, calculate and record energy consumption data in real time, and combine seasonal and ambient temperature information to carry out Accurate estimate of range.
It improves the accuracy of range estimation, enhances drivers' confidence in the estimation results, and enhances the vehicle's competitiveness and sense of technology.
Smart Images
Figure CN119428346A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of endurance control of new energy vehicles, and in particular to a control system and method for estimating endurance mileage of new energy vehicles. Background Art
[0002] The accuracy of estimating the range of pure electric vehicles has always been a focus and difficulty in the industry. Due to many factors, the range estimation is inaccurate. In addition, the battery power carried by the vehicle is relatively small, which can easily make the driver anxious about the range and stop on the road due to lack of power. In addition, charging stations are not as popular as gas stations, so many drivers pay more attention to the accuracy of the range estimation.
[0003] Currently, most estimation methods are based on battery power, average energy consumption after driving for a period of time, whether the air conditioner is turned on, and driving mode. There are certain deviations because driving conditions and environment will have a relatively large impact on the endurance estimation results, and it is impossible to accurately estimate the endurance mileage. Summary of the invention
[0004] The present invention provides a system and method for estimating the cruising range of a new energy electric vehicle, which uses self-learning energy consumption to estimate the cruising range, thereby improving the accuracy of the cruising range estimation, increasing the driver's confidence in the accuracy of the cruising range estimation, and enhancing the sense of technology and product strength.
[0005] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a system for estimating the cruising range of new energy electric vehicles, including an ICM instrument display control system, a VCU vehicle controller, a central control screen and a TBOX remote control terminal, all of which are interconnected through a CAN bus, and the central control screen is provided with setting options from the origin to the destination, and has a saving function.
[0006] It is further limited to include a mobile phone APP client, and the mobile phone APP client is signal-connected to the TBOX remote control terminal.
[0007] Further defined, a method for estimating the range of a new energy electric vehicle, the specific strategy is as follows: Step S1, determine whether the following conditions are met: A: The vehicle is in ready state; B: The driver selects the specific route; After all the above conditions are met, the energy consumption self-learning function will be enabled; Step S2, VCU calculates battery energy consumption in real time, the formula is: E total = battery voltage * battery current * time; Step S3, after arriving at the destination, the navigation system calculates the total mileage S of the trip and sends it to the VCU via the CAN bus; Step S4, after the VCU receives the trip end flag sent by the navigation system and the mileage is valid, it calculates the average energy consumption of this trip. The calculation formula is: E level = E total / S total, where E level represents the average energy consumption, E total represents the total energy consumption of this section of the journey, and S total represents the total mileage of this section of the journey.
[0008] Step S5, the VCU stores the calculation result in the memory, and calculates and records the energy consumption data again after driving the same route each time, and calibrates the VCU for the number of times it can store; Step S6, the VCU retains the most recent energy consumption data, and takes the average value of the energy consumption data of the calibration value times as the average energy consumption data of the journey; In step S7, the VCU estimates the cruising range using the current remaining power of the battery and the average energy consumption.
[0009] To further define, VCU organizes and calculates the energy consumption data based on classified data, and the driving conditions are divided into the following categories: 1.1 Spring and Autumn seasons, the average energy consumption when the air conditioner is turned on; 1.2 Spring and Autumn seasons, the average energy consumption when the air conditioner is turned off; 1.3 Summer seasons, the average energy consumption when the air conditioner is turned on; 1.4 Summer seasons, the average energy consumption when the air conditioner is turned off; 1.5 Winter seasons, the average energy consumption when the air conditioner is turned on; 1.6 Winter seasons, the average energy consumption when the air conditioner is turned off. The division of spring, summer, autumn and winter seasons can be classified according to the specific month values uploaded by TBOX. TBOX will upload the year / month / day information in real time through the CAN line. VCU parses the signal to get the current season of the vehicle. The central control screen is equipped with open setting options. Users can set which months belong to the spring, summer, autumn and winter seasons according to the climate characteristics of their location, so that the ambient temperature can be considered more accurately.
[0010] It is further defined that a button identical to the line in the central control screen is provided in the mobile phone APP, and the information of the two is synchronized and repeated. Customers can conveniently use the mobile phone APP to check whether the current estimated range of the vehicle meets the requirements when selecting a certain route.
[0011] It is further limited to also include a voice broadcast system, the voice broadcast is connected to the central control screen, the VCU sends the estimated remaining mileage value to the instrument ICM and the central control screen, and the central control screen will make a voice broadcast based on the estimated mileage value to inform the driver whether he can drive to the destination and other information.
[0012] The beneficial effects of adopting the above technical solution are: The present invention makes full use of a large amount of energy consumption data from the origin to the destination, and at the same time considers information such as season, ambient temperature, whether the air conditioner is turned on, etc. to distinguish and save the energy consumption data, and makes full use of the driver's previous driving habits and driving energy consumption data to ensure the accuracy of the average energy consumption, thereby improving the accuracy of the cruising range estimation and thus improving the competitiveness of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 It is a logic control flow chart of the present invention. DETAILED DESCRIPTION
[0014] The specific implementation methods of the present invention are further explained in detail below by describing the embodiments with reference to the accompanying drawings, with the aim of helping those skilled in the art to have a more complete, accurate and in-depth understanding of the concept and technical solution of the present invention and facilitating its implementation.
[0015] The present invention provides a system and method for estimating the cruising range of a new energy electric vehicle, which uses self-learning energy consumption to estimate the cruising range, thereby improving the accuracy of the cruising range estimation, increasing the driver's confidence in the accuracy of the cruising range estimation, and enhancing the sense of technology and product strength. Example
[0016] Specifically, Figure 1 As shown, with the help of the current vehicle configuration system, including ICM instrument display control system, VCU vehicle controller, central control screen and TBOX remote control terminal, all of which are interconnected through CAN bus. The four transmit information in real time through CAN bus for interaction and command control. At the same time, it also includes mobile APP client, mobile APP client and TBOX remote control terminal signal connection, which will be regarded as "point to point" from the departure point to the destination. This statement will be used in the following text. Relevant selection settings will be set on the central control screen, such as: home-company, company-home, home-supermarket, home-charging station, charging station-home, etc. The departure point and destination can be set and saved in the navigation settings in the central control screen. The specific usage strategy is as follows: Step S1, determine whether the following conditions are met: A: The vehicle is in ready state; B: The driver selects the specific route; After all the above conditions are met, the energy consumption self-learning function is turned on. At the same time, the central control screen can be set with relevant soft keys, for example: "Turn on the point-to-point energy consumption self-learning function". In this embodiment, the point-to-point driving route is assumed to be home-company; Step S2, VCU calculates the battery energy consumption in real time, the formula is: E total = battery voltage * battery current * time, the software will do real-time integration processing to calculate the power consumption during the entire journey. Generally, VCU will calculate the energy consumption every 10ms, and then add up the energy consumption fragments in the whole process to get the overall E total; Step S3, after arriving at the destination, the navigation system calculates the total mileage S of the trip and sends it to the VCU via the CAN bus; Step S4, after the VCU receives the trip end flag sent by the navigation system and the mileage is valid, it calculates the average energy consumption of this "point-to-point" trip, and the calculation formula is: E level (home-company) = E total (home-company) / S total (home-company), where E level represents the average energy consumption, E total represents the total energy consumption of this section of the journey, and S total represents the total mileage of this section of the journey; In step S5, the VCU will store the calculation result in its own memory, so that after each driving on the same route, the VCU will record the energy consumption calculation result in its own memory and calibrate the maximum storage number. In this embodiment, the calibrated storage number is 3000 times. At the same time, the VCU sorts out the energy consumption data calculated by the classified data, and divides the driving conditions into the following categories: 1.1 Spring and autumn seasons, the average energy consumption when the air conditioner is turned on; 1.2, spring and autumn seasons, the average energy consumption when the air conditioner is turned off; 1.3, summer season, the average energy consumption when the air conditioner is turned on; 1.4, summer season, the average energy consumption when the air conditioner is turned off; 1.5, winter season, the average energy consumption when the air conditioner is turned on; 1.6, winter season, The average energy consumption when the time adjustment is turned off, and the division of spring, summer, autumn and winter seasons can be classified according to the specific month values uploaded by TBOX. TBOX will upload the year / month / day information in real time through the CAN line. For example, 3-4-5 months are divided into spring, 6-7-8 are divided into summer, 9-10-11 are divided into autumn, and 12-1-2 are divided into winter. VCU analyzes the signal to get the current season of the vehicle. The central control screen is set with open setting options. Users can set which months belong to the spring, summer, autumn and winter seasons according to the climate characteristics of their location. This can more accurately consider the ambient temperature. The mobile phone APP also has the same buttons as the lines in the central control screen. The information of the two is synchronized and repeated. Customers can easily use the mobile phone app to check whether the current estimated mileage meets the needs when the vehicle selects a certain route; Step S6, VCU retains the most recent energy consumption data, and takes the average value of the energy consumption data of the calibration value times as the average energy consumption data of the journey; Step S7, VCU estimates the mileage using the current remaining battery power and average energy consumption. The calculation formula is: S Remaining mileage (home-work) = current battery remaining power / 3000 times average energy consumption (home-work). VCU sends the estimated remaining mileage value to the instrument ICM and the central control screen. The central control screen will make a voice broadcast based on the estimated mileage value, informing the driver whether he can drive to the destination, please drive with confidence and other information.
[0017] Similarly, the energy consumption and mileage of other "point-to-point" trips are still calculated using steps S1 to S7. This solution fully utilizes a large amount of point-to-point energy consumption data, while taking into account information such as season, ambient temperature, and whether the air conditioner is turned on to distinguish and store the energy consumption data. It fully utilizes the driver's previous driving habits and driving energy consumption data, ensures the accuracy of the average energy consumption, and thus improves the accuracy of the mileage estimation, thereby improving the competitiveness of the vehicle.
[0018] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned method. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above-mentioned concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.
Claims
1. A system for estimating the cruising range of a new energy electric vehicle, characterized in that: It includes an ICM instrument display control system, a VCU vehicle controller, a central control screen and a TBOX remote control terminal, all of which are interconnected via a CAN bus. The central control screen is provided with settings from the departure point to the destination and has a save function.
2. The system for estimating the cruising range of a new energy electric vehicle according to claim 1, characterized in that: It also includes a mobile phone APP client, and the mobile phone APP client is connected to the TBOX remote control terminal signal.
3. The method of a system for estimating the cruising range of a new energy electric vehicle according to claim 1, characterized in that: The specific strategies are as follows: Step S1, determine whether the following conditions are met: A: The vehicle is in ready state; B: The driver selects the specific route; After all the above conditions are met, the energy consumption self-learning function will be enabled; Step S2, VCU calculates battery energy consumption in real time, the formula is: E total = battery voltage * battery current * time; Step S3, after arriving at the destination, the navigation system calculates the total mileage S of the trip and sends it to the VCU via the CAN bus; Step S4, after the VCU receives the trip end flag sent by the navigation system and the mileage is valid, it calculates the average energy consumption of this trip, and the calculation formula is: E level = E total / S total, where E level represents the average energy consumption, E total represents the total energy consumption of this section of the trip, and S total represents the total mileage of this section of the trip; Step S5, the VCU stores the calculation result in the memory, and calculates and records the energy consumption data again after driving the same route each time, and calibrates the VCU for the number of times it can store; Step S6, the VCU retains the most recent energy consumption data, and takes the average value of the energy consumption data of the calibration value times as the average energy consumption data of the journey; In step S7, the VCU estimates the cruising range using the current remaining power of the battery and the average energy consumption.
4. The method of a system for estimating the cruising range of a new energy electric vehicle according to claim 3, characterized in that: VCU sorts out the energy consumption data calculated by classified data and divides the driving conditions into the following categories: 1.1 In spring and autumn, the average energy consumption when the air conditioner is turned on; 1.2 In spring and autumn, the average energy consumption when the air conditioner is turned off; 1.3 In summer, the average energy consumption when the air conditioner is turned on; 1.4 In summer, the average energy consumption when the air conditioner is turned off; 1.5 In winter, the average energy consumption when the air conditioner is turned on; 1.6 In winter, the average energy consumption when the air conditioner is turned off. The division of spring, summer, autumn and winter seasons can be classified according to the specific month values uploaded by TBOX. TBOX will upload the year / month / day information in real time through the CAN line. VCU will parse the signal and get the current season of the vehicle. The central control screen is equipped with open setting options. Users can set which months belong to the spring, summer, autumn and winter seasons according to the climate characteristics of their location, so that the surrounding temperature can be considered more accurately.
5. The method of a system for estimating the cruising range of a new energy electric vehicle according to claim 3, characterized in that: The mobile phone APP is provided with the same buttons as the routes in the central control screen, and the information of the two is synchronized and repeated. Customers can conveniently use the mobile phone app to check whether the current estimated range of the vehicle meets the requirements when selecting a certain route.
6. The method of a system for estimating the cruising range of a new energy electric vehicle according to claim 3, characterized in that: It also includes a voice broadcast system, which is connected to the central control screen. The VCU sends the estimated remaining mileage value to the instrument ICM and the central control screen. The central control screen will make a voice broadcast based on the estimated mileage value to inform the driver whether he can drive to the destination and other information.