A method and system for testing the driving range of electric vehicles based on user operating conditions

Abstract

This invention discloses a method and system for testing the driving range of electric vehicles based on user operating conditions, belonging to the field of vehicle testing. The method includes: selecting test conditions, including urban and highway conditions, and selecting a test route based on real-time navigation data; determining a driving mode, including economy and sport modes, based on the test conditions; determining the energy recovery level based on the driving mode; determining the air conditioning setting based on the real-time outdoor temperature; and conducting a real-vehicle test until the vehicle breaks down, recording the total driving range throughout the test. This invention achieves electric vehicle driving range testing that better reflects actual user driving conditions, improving the reliability of the test results.

Description

Technical Field

[0001] This invention belongs to the field of vehicle testing. Specifically, this invention relates to a method and system for testing the driving range of electric vehicles based on user operating conditions. Background Technology

[0002] With the continued boom in production and sales of new energy vehicles, the market share and ownership of pure electric vehicles are also constantly rising. This has led to a surge in range anxiety and complaints. Automakers' range ratings are generally based on national standard test results, and this range, adhering to unified and mandatory standards, serves as one of the initial references for users when purchasing a vehicle. However, as users use the vehicle more extensively, differences in operating conditions can affect the range and impact the driving experience, becoming a point of contention for users.

[0003] Meanwhile, existing electric vehicle range testing technologies also have the following drawbacks:

[0004] The existing test scenarios fail to reflect real-world operating conditions, covering only a limited range of scenarios and thus compromising the reliability of test results. Furthermore, the fixed environmental parameters fail to account for the impact of temperature on user driving conditions, leading to test results that do not reflect actual user conditions. Therefore, this invention proposes a method and system for testing the driving range of electric vehicles based on user operating conditions. Summary of the Invention

[0005] This invention aims to overcome the shortcomings of the prior art and proposes a method and system for testing the driving range of electric vehicles based on user operating conditions, in order to achieve the following objectives: to realize a driving range test of electric vehicles that is more in line with the actual driving conditions of users and to improve the reliability of test results.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a method for testing the driving range of electric vehicles based on user operating conditions, the method comprising the following steps:

[0007] Step S1: Select the test conditions, which include urban conditions and highway conditions, and select the test route based on real-time navigation data.

[0008] Step S2: Determine the driving mode based on the test conditions, including Eco mode and Sport mode;

[0009] Step S3: Determine the energy recovery level based on the driving mode;

[0010] Step S4: Determine the air conditioning settings based on the real-time outdoor temperature;

[0011] Step S5: According to the settings of steps S1 to S4, conduct a real vehicle test until the vehicle breaks down, and record the total driving range during the test.

[0012] Preferably, in step S1, under urban conditions, the vehicle is on a normal road with an average speed of 30±5 km / h; under high-speed conditions, the vehicle is on a high-speed road with an average speed of 105±5 km / h.

[0013] Preferably, in step S1, the test route selected based on real-time navigation data must satisfy the following condition: under any test condition, the distance between the starting point and the test starting point is less than or equal to a first distance threshold.

[0014] Preferably, in step S1, the test route selected based on real-time navigation data must meet the following requirements: in urban conditions, the test route is a loop route.

[0015] Preferably, in step S2, when the test condition is urban, the driving mode is determined to be economy mode; when the test condition is highway, the driving mode is determined to be sport mode.

[0016] Preferably, in step S3, when the driving mode is Eco mode, the energy recovery level is set to the highest level; when the driving mode is Sport mode, the energy recovery level is set to the lowest level.

[0017] Preferably, step S4 includes: when the outdoor temperature is ≥ a first temperature threshold, it is considered to be in a high temperature state, the air conditioner is set to cooling, the cooling temperature is lower than the first temperature threshold, the internal circulation is turned on to blow air onto the face, and the fan speed is set to medium; when the outdoor temperature is ≤ a second temperature threshold, it is considered to be in a low temperature state, the air conditioner is set to heating, the heating temperature is higher than the second temperature threshold, the external circulation is turned on to blow air onto the feet, the fan speed is set to medium, and defrosting is turned on; when the second temperature threshold is < outdoor temperature < first temperature threshold, it is considered to be in a normal temperature state, and the air conditioner is set to the off state.

[0018] Preferably, the second temperature threshold is 10°C and the first temperature threshold is 30°C.

[0019] Preferably, step S5 includes: when the vehicle is in high-speed operation, if it is detected that the remaining battery power of the vehicle is less than a preset battery power threshold, an alarm is triggered to the user and the nearest highway exit is pushed to the user according to real-time navigation data. After receiving the alarm, the user drives to the nearest exit of the highway according to the real-time navigation data and drives on a normal road until the vehicle breaks down to complete the test.

[0020] This application also proposes an electric vehicle range testing system based on user operating conditions, constructed according to the aforementioned electric vehicle range testing method based on user operating conditions. The system includes an in-vehicle navigation system, an outdoor temperature sensor, a vehicle management system (BMS), a vehicle speed sensor, a human-machine interface device, a controller, an in-vehicle air conditioner, an alarm device, an energy recovery gear switch, and a driving mode switch. The controller is connected to the in-vehicle navigation system, outdoor temperature sensor, BMS, vehicle speed sensor, human-machine interface device, in-vehicle air conditioner, alarm device, energy recovery gear switch, and driving mode switch, respectively.

[0021] The in-vehicle navigation system is used to acquire real-time navigation data and send it to the controller.

[0022] The outdoor temperature sensor is used to acquire the outdoor temperature and send it to the controller;

[0023] The BMS is used to obtain real-time battery power and send it to the controller;

[0024] The vehicle speed sensor is used to acquire the real-time vehicle speed and send it to the controller;

[0025] The human-computer interaction device is used to receive the user's test condition selection and various preset thresholds required for the test and send them to the controller;

[0026] The controller receives input data from the vehicle navigation system, outdoor temperature sensor, BMS, vehicle speed sensor, and human-machine interface device. After processing the data according to the above-mentioned electric vehicle range testing method based on user working conditions, it generates corresponding control signals to the vehicle air conditioner, energy recovery gear switch, alarm device, and driving mode switch to automatically complete vehicle setup before testing and alarms during testing.

[0027] The technical advantages of this invention are as follows: For the first time, this invention integrates four dimensions of parameters—navigation test route planning, driving mode selection, energy recovery level, and air conditioning strategy—into a linked design for testing the driving range of electric vehicles. This makes the test conditions more consistent with real-world user conditions, improving the reliability of the test results. Simultaneously, the real-vehicle test reflects the complex traffic flow of real-world road conditions, and a battery warning strategy is introduced in high-speed testing to avoid the risk of vehicle power loss and delays, ensuring test safety and better reflecting actual operating conditions. Attached Figure Description

[0028] Figure 1 This is a flowchart of a method for testing the driving range of an electric vehicle based on user operating conditions, provided in an embodiment of the present invention. Detailed Implementation

[0029] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. This is to help those skilled in the art to have a more complete, accurate, and in-depth understanding of the inventive concept and technical solutions of the present invention, and to facilitate its implementation. It should be noted that the terms "first," "second," etc., used in this application are only for the convenience of describing the technical solutions and to distinguish components; the corresponding component configurations may be the same or different, and are not intended to limit the scope of this application. To make the technical solutions of the present invention clearer, the present invention will be explained and illustrated through the following embodiments.

[0030] This embodiment provides a method for testing the driving range of electric vehicles based on user operating conditions. Unlike driving range testing methods based on national standards, this embodiment determines the test boundary conditions based on user operating conditions. The test results are more closely related to the actual usage conditions of users and can be more readily accepted by users. Figure 1 As shown, the method includes the following steps:

[0031] Step S1: Select the test conditions, which include urban conditions and highway conditions, and select the test route based on real-time navigation data.

[0032] Step S2: Determine the driving mode based on the test conditions, including Eco mode and Sport mode;

[0033] Step S3: Determine the energy recovery level based on the driving mode;

[0034] Step S4: Determine the air conditioning settings based on the real-time outdoor temperature;

[0035] Step S5: According to the settings of steps S1 to S4, conduct a real vehicle test until the vehicle breaks down, and record the total driving range during the test.

[0036] Specifically, in step S1 of this embodiment, the selection of test conditions is determined by the tester according to the test requirements. Test conditions include urban conditions and highway conditions. The difference between urban and highway conditions lies in the road segment and average vehicle speed. In urban conditions, the vehicle is on a regular road, and due to urban speed limits and safety requirements, this embodiment sets the average speed to 30±5 km / h. This speed setting references the average speed of 29 km / h in the CLTC (China Light Vehicle Driving Condition) test. A fluctuation of ±5 km / h is added to accommodate traffic flow differences in different cities, thereby covering more test scenarios. In highway conditions, the vehicle is on a highway, and due to highway speed limits and safety requirements, the average vehicle speed is 105±5 km / h. An average speed of around 105 km / h is closer to actual driving habits on Chinese highways, thus ensuring that the test results are more consistent with actual user conditions.

[0037] Meanwhile, this embodiment also utilizes real-time navigation maps to determine suitable test routes for different test conditions. In actual testing, there is often a certain distance between the vehicle's starting point and the test starting point. If this distance is too long, it will affect the accuracy of the test results. Therefore, based on real-time navigation data, the selected test route must meet the following requirement: under any test condition, the distance between the starting point and the test starting point is less than or equal to a first distance threshold. For example, in this embodiment, the first distance threshold is set to 15km.

[0038] Furthermore, the test route selected based on real-time navigation data must also meet the following requirements: in urban conditions, the test route must be a loop. This is because a loop route can achieve a longer driving distance within a limited urban area, improving the utilization rate of road resources and ensuring the completion of the test. At the same time, urban traffic flow is often cyclical, and a loop route can better simulate the actual driving path and traffic conditions of vehicles in the city, including frequent starts, stops, accelerations, and decelerations, thus more comprehensively reflecting the vehicle's operating conditions in daily urban driving.

[0039] In step S2 of this embodiment, the driving mode is determined based on the test conditions. Commonly used driving modes for vehicles include Eco mode (energy-saving mode) and Sport mode. Eco mode offers a longer driving range, while Sport mode provides faster throttle response and higher power output. When the test condition is urban driving, the vehicle speed is relatively low, and compared to power performance, economy and long range are the user's primary concerns; therefore, Eco mode is selected. When the test condition is highway driving, the vehicle travels at higher speeds and there are more demands for high-speed overtaking; power performance is the user's primary concern, and Sport mode is selected. This selection of driving mode more closely reflects the user's actual driving conditions, making the test results more acceptable to users.

[0040] Energy recovery level is also an important factor affecting the driving range of an electric vehicle, and users often choose different energy recovery levels under different conditions. To better reflect actual user conditions, this embodiment associates the energy recovery level with the driving mode in step S3, making the test more consistent with user experience. Specifically, when the driving mode is Eco mode, which prioritizes longer driving range, the energy recovery level is set to the highest level; when the driving mode is Sport mode, which prioritizes better power performance, the energy recovery level is set to the lowest level.

[0041] Air conditioning use is a significant factor affecting the driving range of electric vehicles. However, existing tests use fixed environmental parameters and fail to dynamically adjust the air conditioning strategy based on real-time temperature, leading to distorted energy consumption simulations. Therefore, in step S4 of this embodiment, air conditioning use is intelligently matched with temperature conditions to improve the coverage of test scenarios and ensure that the test results accurately reflect user operating conditions. Step S4 includes: when the outdoor temperature is ≥ a first temperature threshold, it is considered to be in a high-temperature state, the air conditioner is set to cooling, the cooling temperature is lower than the first temperature threshold, the internal circulation is turned on to blow air onto the face, and the fan speed is set to medium; when the outdoor temperature is ≤ a second temperature threshold, it is considered to be in a low-temperature state, the air conditioner is set to heating, the heating temperature is higher than the second temperature threshold, the external circulation is turned on to blow air onto the feet, the fan speed is set to medium, and defrosting is activated; when the second temperature threshold < outdoor temperature < first temperature threshold, it is considered to be in a normal-temperature state, and the air conditioner is turned off.

[0042] For example, the second temperature threshold is 10°C, and the first temperature threshold is 30°C. Correspondingly, the cooling temperature is set to 26°C, and the heating temperature is set to 22°C. In practice, the above values ​​can be flexibly set according to actual conditions, so that the test is more in line with the actual user's working conditions, thereby improving the reliability of the test results.

[0043] After completing the vehicle setup according to steps S1 to S4 above, the test can begin. Unlike traditional bench testing, this embodiment uses real-vehicle testing to reflect the complex traffic flow of real-world road conditions. Specifically, in step S5 of this embodiment, the test vehicle departs with a full battery and arrives at the nearest test route based on navigation data to begin the test. The test continues until the vehicle breaks down, and the total range is recorded. The odometer reading can be read at the start and end of the test. It should be noted that a vehicle breaking down on a highway poses a safety risk, and in actual user scenarios, users will exit the highway before the vehicle breaks down. Therefore, in step S5 of this embodiment, a battery warning strategy is introduced when the vehicle is on a highway to avoid the risk of vehicle breakdown and stranding. Specifically, if the remaining battery level is detected to be less than a preset threshold, an alarm is triggered, and the nearest highway exit is pushed to the user based on real-time navigation data. After receiving the alarm, the user exits the highway according to the real-time navigation data and drives on a regular road until the vehicle breaks down, completing the test. The power threshold in this embodiment is 15%, but it can be flexibly set according to the actual situation during implementation.

[0044] This embodiment also proposes an electric vehicle range testing system based on user operating conditions. Constructed according to the aforementioned electric vehicle range testing method based on user operating conditions, the system includes an in-vehicle navigation system, an outdoor temperature sensor, a BMS (Battery Management System), a vehicle speed sensor, a human-machine interface device, a controller, an in-vehicle air conditioner, an alarm device, an energy recovery level switch, and a driving mode switch. The controller is connected to the in-vehicle navigation system, outdoor temperature sensor, BMS, vehicle speed sensor, human-machine interface device, in-vehicle air conditioner, alarm device, energy recovery level switch, and driving mode switch, respectively.

[0045] The in-vehicle navigation system is used to acquire real-time navigation data and send it to the controller.

[0046] The outdoor temperature sensor is used to acquire the outdoor temperature and send it to the controller;

[0047] The BMS is used to obtain real-time battery power and send it to the controller;

[0048] The vehicle speed sensor is used to acquire the real-time vehicle speed and send it to the controller;

[0049] The human-computer interaction device is used to receive the user's test condition selection and various preset thresholds required for the test and send them to the controller;

[0050] The controller receives input data from the vehicle navigation system, outdoor temperature sensor, BMS, vehicle speed sensor, and human-machine interface device. After processing the data according to the above-mentioned electric vehicle range testing method based on user working conditions, it generates corresponding control signals to the vehicle air conditioner, energy recovery gear switch, alarm device, and driving mode switch to automatically complete vehicle setup before testing and alarms during testing.

[0051] In practical implementation, a touchscreen is selected for the human-machine interface, supporting manual input of various commands and parameter settings. The controller can utilize the vehicle's built-in cockpit domain controller, saving costs. Energy recovery gear switches and driving mode switches can both be soft switches integrated into the human-machine interface, i.e., switches controlled by software code, offering ease of operation and a high degree of intelligence. Alarm devices typically employ audible and visual alarms, such as buzzers or indicator lights, with the specific choice depending on the actual situation.

[0052] The present invention has been described above by way of example with reference to the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-described manner. Any non-substantial improvements made using the inventive concept and technical solution; or the direct application of the inventive concept and technical solution to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A method for testing the driving range of electric vehicles based on user operating conditions, characterized in that: The method includes the following steps: Step S1: Select the test conditions, which include urban conditions and highway conditions, and select the test route based on real-time navigation data; the test route selected based on real-time navigation data must meet the following requirements: in urban conditions, the test route is a loop route; Step S2: Determine the driving mode based on the test conditions, including economy mode and sport mode; when the test conditions are urban conditions, determine the driving mode as economy mode; when the test conditions are highway conditions, determine the driving mode as sport mode. Step S3: Determine the energy recovery level according to the driving mode; when the driving mode is Eco mode, the energy recovery level is set to the highest level; when the driving mode is Sport mode, the energy recovery level is set to the lowest level. Step S4: Determine the air conditioning settings based on the real-time outdoor temperature; including: when the outdoor temperature is ≥ the first temperature threshold, it is considered to be in a high temperature state, the air conditioner is set to cooling, the cooling temperature is lower than the first temperature threshold, the internal circulation is turned on to blow air onto the face, and the fan speed is set to medium; when the outdoor temperature is ≤ the second temperature threshold, it is considered to be in a low temperature state, the air conditioner is set to heating, the heating temperature is higher than the second temperature threshold, the external circulation is turned on to blow air onto the feet, the fan speed is set to medium, and defrosting is turned on; when the second temperature threshold is < the outdoor temperature is < the first temperature threshold, it is considered to be in a normal temperature state, and the air conditioner is set to off. Step S5: According to the settings of steps S1 to S4, conduct a real vehicle test until the vehicle breaks down, and record the total driving range during the test.

2. The method for testing the driving range of an electric vehicle based on user operating conditions according to claim 1, characterized in that: In step S1, under urban driving conditions, the vehicle is on a normal road with an average speed of 30±5 km / h; under high-speed driving conditions, the vehicle is on a high-speed road with an average speed of 105±5 km / h.

3. The method for testing the driving range of an electric vehicle based on user operating conditions according to claim 1, characterized in that: In step S1, the test route selected based on real-time navigation data must meet the following requirement: under any test condition, the distance between the starting point and the test starting point is less than or equal to a first distance threshold.

4. The method for testing the driving range of an electric vehicle based on user operating conditions according to claim 1, characterized in that: The second temperature threshold is 10°C, and the first temperature threshold is 30°C.

5. The method for testing the driving range of an electric vehicle based on user operating conditions according to claim 1, characterized in that: Step S5 includes: when the vehicle is in high-speed operation, if the remaining battery power of the vehicle is detected to be less than the preset battery power threshold, an alarm is triggered to the user and the nearest highway exit is pushed to the user according to real-time navigation data. After receiving the alarm, the user drives to the nearest exit of the highway according to the real-time navigation data and drives on a normal road until the vehicle breaks down to complete the test.

6. A user-condition-based electric vehicle range testing system, constructed according to any one of claims 1-5, characterized in that: The system includes an in-vehicle navigation system, an outdoor temperature sensor, a vehicle management system (BMS), a vehicle speed sensor, a human-machine interface device, a controller, an in-vehicle air conditioner, an alarm device, an energy recovery level switch, and a driving mode switch. The controller is connected to the in-vehicle navigation system, outdoor temperature sensor, BMS, vehicle speed sensor, human-machine interface device, in-vehicle air conditioner, alarm device, energy recovery level switch, and driving mode switch, respectively. The in-vehicle navigation system is used to acquire real-time navigation data and send it to the controller. The outdoor temperature sensor is used to acquire the outdoor temperature and send it to the controller; The BMS is used to obtain real-time battery power and send it to the controller; The vehicle speed sensor is used to acquire the real-time vehicle speed and send it to the controller; The human-computer interaction device is used to receive the user's test condition selection and various preset thresholds required for the test and send them to the controller; The controller is used to receive input data from the vehicle navigation, outdoor temperature sensor, BMS, vehicle speed sensor, and human-machine interaction device, and after processing it according to the electric vehicle range test method based on user working conditions as described in any one of claims 1-5, it generates corresponding control signals to the vehicle air conditioner, energy recovery gear switch, alarm device, and driving mode switch to automatically complete the vehicle settings before the test and the alarm during the test.

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