A calculation method for the cruising range of new energy vehicles

Abstract

The present invention discloses a method for calculating the cruising range of a new energy vehicle, including: integrating multiple cruising range calculation methods in the vehicle control system; obtaining corresponding cruising range data in real time according to each cruising range calculation method; and selecting the cruising range with the smallest value among the calculated cruising range data as the real-time cruising range of the vehicle. The advantages of the present invention are as follows: By means of multiple calculation methods, it is ensured that multiple cruising range calculations are compatible, and then the one with the smallest calculation result is selected as the remaining cruising range, which ensures accuracy to a certain reasonable extent. Based on this remaining cruising range, users can accurately estimate the matching degree between their driving destinations and the cruising range, improving the user experience.

Description

Technical Field

[0001] The present invention relates to the field of new energy endurance estimation, and particularly to a method for calculating the endurance mileage of a new energy vehicle. Background Art

[0002] The new energy vehicles in our country have achieved a leapfrog development in industrialization and scale. Calculating and displaying the endurance mileage of electric vehicles is very important for both the user experience of the majority of users and the promotion of electric vehicles.

[0003] In the prior art, the general method for calculating the endurance mileage tends to be accurate calculation. However, due to different driving characteristics and driving habits of different people, no matter what calculation method is used, it will cause a certain deviation in the endurance mileage. The traditional calculation field often focuses on accuracy without considering the rationality required in actual applications. Only by calculating the endurance mileage as accurately as possible under the premise of rationality can users be given an endurance reminder to avoid the endurance estimation error caused by the deviation between the estimated endurance mileage and the destination mileage. Therefore, it is very important to calculate the remaining endurance mileage more reasonably. The prior art generally only uses one calculation method to calculate the endurance mileage. For example, the vehicle control unit collects the power battery voltage signal from the battery management system BMS through the CAN bus, converts the battery SOC value through the voltage signal. The SOC value is the available battery power. SOC = 0% corresponds to the remaining endurance mileage of 0 km, and SOC = 100% corresponds to its maximum endurance mileage (such as 300 km). The remaining endurance mileage of the electric vehicle is calculated by the formula [remaining endurance mileage L = SOC * (300 km - 0 km)]. This kind of endurance mileage fluctuates greatly, and does not consider the driving habits and usage environments of different drivers, and does not truly reflect the relationship between the actual driving mileage of the vehicle and the remaining battery energy, which is inaccurate and unreasonable. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for calculating the endurance mileage of a new energy vehicle. By using this method to calculate the endurance mileage, a more reasonable estimated value of the endurance mileage can be given, and this value is more reasonable and accurate.

[0005] To achieve the above purpose, the technical solution adopted by the present invention is: A method for calculating the endurance mileage of a new energy vehicle, including:

[0006] Integrating multiple endurance mileage calculation methods in the vehicle control system;

[0007] Obtaining the corresponding endurance mileage data according to each endurance mileage calculation method in real time;

[0008] Selecting the endurance mileage with the smallest value among the calculated endurance mileage data as the real-time endurance mileage of the vehicle.

[0009] The multiple cruising range calculation methods include at least three calculation methods.

[0010] The cruising range calculation methods include calculating the cruising range L1 based on the power consumption W1 for the last one kilometer of driving, calculating the cruising range L2 based on the average power consumption W2 for the last X kilometers of driving, calculating the remaining cruising range L3 based on the average power consumption W3 per kilometer under the total vehicle driving mileage, and calculating the remaining cruising range L4 obtained by weighted calculation of L1, L2, and L3;

[0011] Then compare the magnitudes of L1, L2, L3, and L4, and select the minimum value as the final real-time cruising range L of the vehicle.

[0012] Calculating the cruising range L1 based on the power consumption W1 for the last one kilometer of driving: The calculated cruising range L1 = the remaining total power W / the power consumption W1 for the last one kilometer of driving.

[0013] Calculating the cruising range L2 based on the average power consumption W2 for the last X kilometers of driving: The calculated remaining cruising range L2 = the remaining total power W / the average power consumption W2 for the last X kilometers of driving.

[0014] Calculating the remaining cruising range L3 based on the average power consumption W3 per kilometer under the total vehicle driving mileage: L3 = the remaining total power W / the average power consumption W3 per kilometer under the total vehicle driving mileage.

[0015] The remaining cruising range L4 obtained by weighted calculation of L1, L2, and L3 = L1 * K1 + L2 * K2 + L3 * K3, where K1, K2, and K3 are weighting coefficients and K1 + K2 + K3 = 1.

[0016] The vehicle controller of the electric vehicle collects the power battery voltage signal from the battery management system BMS through the CAN bus, and converts the voltage signal into the current available total power W of the battery.

[0017] The weighting coefficients K1, K2, and K3 are calibrated according to experiments, and the value range is between 0 and 1.

[0018] The advantages of the present invention are as follows: By using multiple calculation methods, it ensures compatibility with multiple cruising range calculations, and then selects the smallest calculation result as the remaining cruising range, ensuring accuracy to a certain reasonable extent. Based on this remaining cruising range, users can accurately estimate the matching between their driving destinations and the cruising range, improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The following briefly describes the content expressed in each drawing of the present invention specification and the marks in the drawings:

[0020] Figure 1 This is a schematic diagram of the calculation principle of the cruising range of the present invention. Specific embodiments

[0021] The following further describes in detail the specific embodiments of the present invention by describing the optimal embodiments with reference to the accompanying drawings.

[0022] As Figure 1 shown, a method for calculating the cruising range of a new energy vehicle provided by the present application includes:

[0023] Integrating multiple cruising range calculation methods in the vehicle control system;

[0024] Obtaining the corresponding cruising range data according to each cruising range calculation method in real time;

[0025] Based on the calculated cruising range data, select the cruising range with the smallest value as the real-time cruising range of the vehicle. The features here include: multiple cruising range calculation methods can calculate multiple remaining cruising ranges, and then take the minimum value among multiple cruising ranges. The main purpose of taking the minimum value is that we want to make the cruising range as close to the real value as possible and ensure that it is displayed with as small a cruising range as possible. In this way, the cruising range can be ensured to be as accurate as possible while ensuring the rationality of the display of the remaining cruising range. The rationality can be understood in this way. The remaining cruising ranges calculated by multiple calculation methods all have a certain degree of scientificity and accuracy, and any one of them can be selected. However, in order to ensure the user's estimation of the vehicle's driving destination based on the cruising range, etc., select the smallest one among multiple remaining cruising ranges as the output cruising range. This purpose can ensure that the cruising range is real and leaves a certain margin as much as possible to ensure the user experience.

[0026] The present application provides four calculations of the cruising range, specifically as follows:

[0027] The cruising range calculation methods include calculating the cruising range L1 based on the power consumption W1 for the last one kilometer of driving, calculating the cruising range L2 based on the average power consumption W2 for the last X kilometers of driving, calculating the remaining cruising range L3 based on the average power consumption W3 per kilometer under the total vehicle driving mileage, and the remaining cruising range L4 obtained by weighted calculation of L1, L2, and L3;

[0028] Then compare the sizes of L1, L2, L3, and L4, and select the minimum value as the final real-time cruising range L of the vehicle.

[0029] Among them:

[0030] The electric vehicle integrated controller collects the power battery voltage signal from the battery management system BMS through the CAN bus, and converts the voltage signal into the current total available power W of the battery.

[0031] The cruising range L1 is calculated based on the power W1 consumed in the last kilometer of driving: the calculated cruising range L1 = the remaining total power W / the power W1 consumed in the last kilometer of driving.

[0032] The cruising range L2 is calculated based on the average power W2 consumed in the last X kilometers of driving: the calculated remaining cruising range L2 = the remaining total power W / the average power W2 consumed in the last X kilometers of driving. The last X kilometers of driving refers to the total power consumed in the last 100 kilometers of driving from now on. These data are counted by the BMS based on the power consumed each time the power is turned on, and then the total power consumed in 100 kilometers is divided by 100 kilometers to get the average power W2.

[0033] The remaining cruising range L3 is calculated based on the average power consumption W3 per kilometer under the total mileage of the vehicle: L3 = remaining total power W / average power consumption W3 per kilometer under the total mileage of the vehicle. The average power consumption W3 per kilometer under the total mileage of the vehicle can be calculated based on the power consumption of each trip counted by the BMS and then summed up to obtain the total power consumption corresponding to the total mileage. The total power consumption divided by the total mileage can obtain the average power consumption per kilometer.

[0034] The remaining cruising range L4=L1*K1+L2*K2+L3*K3 obtained by weighting L1, L2, and L3, wherein K1, K2, and K3 are weighting coefficients and K1+K2+K3=1.

[0035] The weighting coefficients K1, K2, and K3 are calibrated according to experiments, and the value range is between 0 and 1. In this application, K1, K2, and K3 are 50%, 40%, and 10%, respectively. The purpose of this is that the power consumption in the last 1 kilometer can characterize the user's real-time driving habits and the unit power consumption generated by the road conditions, and the estimated remaining power can be calculated based on this method; however, it may not be able to accurately characterize the user's road conditions, so it is also necessary to combine the average power consumption in the first 100 kilometers and the average power consumption under the total cruising range. However, due to the user's real-time road conditions and user habits are changing, the three types of calculation methods L1, L2, and L3 are weighted and controlled to characterize the user's real-time habits and road conditions as much as possible, thereby ensuring that the calculated remaining cruising range is more reasonable and reliably close to the vehicle's actual cruising range.

[0036] The calculation method is adopted to estimate the remaining driving range of the vehicle. Considering different driving habits, different driving environments, and different vehicle states, the relationship between the actually consumed power and the actual driving mileage is taken into account in the calculation of the remaining driving range. At the same time, the weighted summation method is used to calculate the driving range, so as to achieve a more accurate and reasonable calculation of the remaining driving range of the electric vehicle.

[0037] The vehicle controller of the electric vehicle collects the power battery voltage signal from the battery management system BMS through the CAN bus, and converts the voltage signal into the total available power W of the battery currently. Calculate the power consumption W1 for continuous driving 1 km under the current driving condition, and calculate the remaining driving range L1 of the electric vehicle through the formula [remaining driving range L1 = total power W / power consumption W1 for the previous 1 km]; calculate the average power consumption W2 per km for the previous 100 km of driving, and calculate the remaining driving range L2 of the electric vehicle through the formula [remaining driving range L2 = total power W / power consumption per km for the previous 100 km W2]; calculate the average power consumption W3 per km for the entire driving process from 0 km to the current maximum driving range of the vehicle, and calculate the driving range L3 of the electric vehicle through the formula [remaining driving range L3 = total power W / average power consumption per km for the entire driving process W3]; then use the weighted method of the first three calculation methods to obtain the weighted remaining driving range L4 = L1 * 50% + L2 * 40% + L3 * 10%. Finally, take the minimum value among the driving ranges calculated by the four methods (i.e., L1, L2, L3, L4) to display the current remaining driving range L.

[0038] Applying the present invention can calculate the remaining driving range of the electric vehicle more reasonably and accurately, improve the convenience and practicality of the vehicle, and is conducive to the popularization of electric vehicles. Specific implementation manner:

[0040] The calculation of the driving range of new energy vehicles includes the following steps;

[0041] S1: The vehicle controller collects the power battery voltage signal from the battery management system BMS through the CAN bus, and calculates the total available power W of the battery through the voltage signal;

[0042] S2: The first calculation method is to calculate the power consumption W1 for continuous driving 1 km under the current driving condition, and calculate the remaining driving range L1 of the electric vehicle through the formula [remaining driving range L1 = total power W / power consumption W1 for the previous 1 km];

[0043] S3: The second calculation method is to calculate the average power consumption W2 per km for the previous 100 km of driving, and calculate the remaining driving range L2 of the electric vehicle through the formula [remaining driving range L2 = total power W / power consumption per km for the previous 100 km W2];

[0044] S4: Calculate the average power consumption per kilometer W3 during the entire driving process from 0 kilometers to the current maximum driving range of the vehicle. Calculate the remaining driving range L3 of the electric vehicle through the formula [remaining driving range L3 = total power W / average power consumption per kilometer W3 during the entire driving process].

[0045] S5: Then, using the weighted method of the first three calculation methods, the remaining driving range L4 = L1 * 50% + L2 * 40% + L3 * 10%.

[0046] S6: Finally, take the minimum value among the driving ranges calculated by the four methods (i.e., L1, L2, L3, L4) to display the current remaining driving range L.

[0047] The present invention uses a calculation method to estimate the remaining driving range of a vehicle. Considering different driving habits, different driving environments, and different vehicle states, the relationship between the actual power consumption and the actual driving mileage is taken into account in the calculation of the remaining driving range. At the same time, the weighted summation method is used to calculate the driving range, so as to achieve a more accurate calculation of the remaining driving range of an electric vehicle.

[0048] Obviously, the specific implementation of the present invention is not limited by the above methods. As long as various non-substantive improvements are made using the method concept and technical solution of the present invention, they are all within the protection scope of the present invention.

Claims

1. A method for calculating the cruising range of a new energy vehicle, characterized in that: Integrate multiple cruising range calculation methods in the vehicle control system; Obtain the corresponding cruising range data according to each cruising range calculation method in real time; Select the cruising range with the smallest value among the calculated cruising range data as the real-time cruising range of the vehicle; The cruising range calculation methods include calculating the cruising range L1 based on the power consumption W1 for the last one kilometer of driving, calculating the cruising range L2 based on the average power consumption W2 for the last X kilometers of driving, calculating the remaining cruising range L3 based on the average power consumption W3 per kilometer under the total driving mileage of the vehicle, and calculating the remaining cruising range L4 obtained by weighted calculation of L1, L2, and L3; Then compare the magnitudes of L1, L2, L3, and L4, and select the minimum value as the final real-time cruising range L of the vehicle; The remaining cruising range L4 obtained by weighted calculation of L1, L2, and L3 is L4 = L1*K1 + L2*K2 + L3*K3, where K1, K2, and K3 are weighting coefficients and K1 + K2 + K3 = 1.

2. The method for calculating the cruising range of a new energy vehicle according to claim 1, characterized in that: Calculating the cruising range L1 based on the power consumption W1 for the last one kilometer of driving: The calculated cruising range L1 = the remaining total power W / the power consumption W1 for the last one kilometer of driving.

3. The method for calculating the cruising range of a new energy vehicle according to claim 1, characterized in that: Calculating the cruising range L2 based on the average power consumption W2 for the last X kilometers of driving: The calculated remaining cruising range L2 = the remaining total power W / the average power consumption W2 for the last X kilometers of driving.

4. The method for calculating the cruising range of a new energy vehicle according to claim 1, characterized in that: Calculating the remaining cruising range L3 based on the average power consumption W3 per kilometer under the total driving mileage of the vehicle: L3 = the remaining total power W / the average power consumption W3 per kilometer under the total driving mileage of the vehicle.

5. The method for calculating the cruising range of a new energy vehicle according to any one of claims 1-4, characterized in that: The electric vehicle integrated vehicle controller collects the power battery voltage signal from the battery management system BMS through the CAN bus, and converts the voltage signal into the current available total power W of the battery.

6. The method for calculating the cruising range of a new energy vehicle according to claim 1, characterized in that: The weighting coefficients K1, K2, and K3 are calibrated according to experiments, and the value range is between 0 and 1.

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