Electric vehicle endurance mileage test method and system based on user working conditions

Abstract

The invention discloses an electric vehicle endurance mileage testing method and system based on user working conditions, and belongs to the field of vehicle testing. The method comprises the following steps: selecting test working conditions including an urban working condition and a high-speed working condition, and selecting a test route according to real-time navigation data; according to the test working condition, determining a driving mode, including an economic mode and a motion mode; determining an energy recovery level according to the driving mode; air conditioner setting is determined according to the real-time outdoor temperature; according to the setting of the vehicle parameters, a real vehicle test is carried out until the vehicle lies down, and the whole endurance mileage is recorded in the test process. According to the invention, the endurance mileage test of the electric vehicle better conforming to the actual vehicle working condition of the user is realized, and the reliability of the test result is improved.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle testing, and in particular relates to a method and system for testing the cruising range of an electric vehicle based on user operating conditions. Background Art

[0002] With the continued boom in production and sales of new energy vehicles, the market share and ownership of pure electric vehicles have continued to rise, leading to a surge in range anxiety and complaints. Automakers' range ratings are generally based on national test results. These ranges, based on unified, mandatory standards, serve as a starting point for vehicle selection. However, as users continue to use their vehicles, the impact of varying operating conditions on range may affect the driving experience, becoming a source of user complaints.

[0003] At the same time, the existing electric vehicle range test also has the following defects:

[0004] The test scenarios don't align with actual operating conditions, covering only a limited number of scenarios, and thus can't guarantee the reliability of the test results. The environmental parameters are rigid, and the impact of temperature on user vehicle operating conditions is not considered, resulting in test results that don't match the user's operating conditions. Therefore, this paper proposes a method and system for testing the range of electric vehicles based on user operating conditions. Summary of the Invention

[0005] The present invention aims to overcome the deficiencies of the prior art and proposes a method and system for testing the range of electric vehicles based on user operating conditions, so as to achieve the following objectives: to achieve an electric vehicle range test that is more in line with the user's actual vehicle operating conditions and to improve the reliability of the test results.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: a method for testing the cruising range of an electric vehicle based on user operating conditions, the method comprising the following steps:

[0007] Step S1: selecting a test condition, which includes an urban condition and a high-speed condition, and selecting a test route based on real-time navigation data;

[0008] Step S2: determining a driving mode according to the test conditions, including an economy mode and a sports mode;

[0009] Step S3: determining an energy recovery level according to the driving mode;

[0010] Step S4: determining the air conditioning setting according to the real-time outdoor temperature;

[0011] Step S5: According to the settings of steps S1 to S4, a real vehicle test is performed until the vehicle breaks down, and the entire cruising range is recorded during the test.

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

[0013] Preferably, in step S1, the test route selected based on the real-time navigation data must satisfy the following requirement: under any test condition, the distance between the departure 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 according to the real-time navigation data must satisfy the following requirement: under urban conditions, the test route is a circular route.

[0015] Preferably, in step S2, when the test condition is an urban condition, the driving mode is determined to be an economic mode; when the test condition is a high-speed condition, the driving mode is determined to be a sports mode.

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

[0017] Preferably, the step S4 includes: when the outdoor temperature is ≥ the first temperature threshold, it is regarded as being at a high temperature, the air conditioner is set to cooling, the cooling temperature is less than the first temperature threshold, the internal circulation blowing surface is turned on, and the wind speed is set to medium; when the outdoor temperature is ≤ the second temperature threshold, it is regarded as being at a low temperature, the air conditioner is set to heating, the heating temperature is greater than the second temperature threshold, the external circulation blowing foot is turned on, the wind speed is set to medium, and the defrost is turned on; when the second temperature threshold is < the outdoor temperature < the first temperature threshold, it is regarded as being at normal temperature, and the air conditioner is set to off.

[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 a high-speed condition, if it is detected that the remaining power of the vehicle is less than a preset power threshold, an alarm is issued to the user and the nearest highway exit is pushed to the user according to the real-time navigation data. After receiving the alarm, the user exits the highway section according to the real-time navigation data and completes the test after driving on an ordinary road until the vehicle breaks down.

[0020] At the same time, the present application also proposes an electric vehicle range test system based on user operating conditions, which is constructed according to the above-mentioned electric vehicle range test method based on user operating conditions. The system includes a vehicle navigation, an outdoor temperature sensor, a BMS, a vehicle speed sensor, a human-computer interaction device, a controller, an on-board air conditioner, an alarm device, an energy recovery gear switch, and a driving mode switch. The controller is respectively connected to the on-board navigation, the outdoor temperature sensor, the BMS, the vehicle speed sensor, the human-computer interaction device, the on-board air conditioner, the alarm device, the energy recovery gear switch, and the driving mode switch, wherein:

[0021] The vehicle navigation is used to obtain real-time navigation data and send it to the controller;

[0022] The outdoor temperature sensor is used to obtain 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 obtain 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 threshold values ​​preset for the test and send them to the controller;

[0026] The controller is used to receive input data from the on-board navigation, outdoor temperature sensor, BMS, vehicle speed sensor, and human-computer interaction device, and after processing according to the above-mentioned electric vehicle range test method based on user operating conditions, generate corresponding control signals to the on-board air conditioner, energy recovery gear switch, alarm device, and driving mode switching switch to automatically complete the vehicle settings before the test and the alarm during the test.

[0027] The technical effect of this invention is that it is the first to integrate navigation test route planning, driving mode selection, energy recovery level, and air conditioning strategy into a four-dimensional parameter design for electric vehicle range testing, making the test conditions more consistent with real user conditions and improving the reliability of test results. Furthermore, the real-vehicle test reflects the complex traffic flow of real road conditions, and the introduction of a power warning strategy in high-speed testing avoids the risk of vehicle power loss and stranding, ensuring test safety and more consistent with actual conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flow chart of a method for testing the range of an electric vehicle based on user operating conditions is provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is a further detailed description of the specific implementation of the present invention through the description of 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 inventive concept and technical solution of the present invention and to facilitate its implementation. It should be noted that the terms "first" and "second" described in this application are only used to facilitate the description of the technical solution to distinguish components. The corresponding component configurations may be the same or different, and are not intended to limit this application. In order to make the technical solution of the present invention clearer, the present invention is explained through the following embodiments.

[0030] This embodiment provides an electric vehicle range test method based on user operating conditions. Unlike the range test method based on national standards, this embodiment determines the test boundary conditions based on user operating conditions. The test results are more in line with the user's actual operating conditions and can be more recognized by users. Figure 1 As shown, the method includes the following steps:

[0031] Step S1: selecting a test condition, which includes an urban condition and a high-speed condition, and selecting a test route based on real-time navigation data;

[0032] Step S2: determining a driving mode according to the test conditions, including an economy mode and a sports mode;

[0033] Step S3: determining an energy recovery level according to the driving mode;

[0034] Step S4: determining the air conditioning setting according to the real-time outdoor temperature;

[0035] Step S5: According to the settings of steps S1 to S4, a real vehicle test is performed until the vehicle breaks down, and the entire cruising range is recorded during the test.

[0036] Specifically, in step S1 of the present embodiment, the selection of the test conditions is determined by the test personnel according to the test needs, and the test conditions include urban conditions and high-speed conditions. The difference between urban conditions and high-speed conditions lies in the vehicle's driving section and average speed. Under urban conditions, the vehicle is on an ordinary road section, and due to the city's speed limit and safety requirements, the present embodiment sets the average speed to 30±5km / h. The speed setting is based on the average speed of 29km / h in the CLTC (China Light Vehicle Driving Condition) test. On this basis, a float of ±5km / h is set to be compatible with the traffic flow differences in different cities, thereby covering more test scenarios. Under high-speed conditions, the vehicle is on a high-speed section, and due to the speed limit and safety requirements of the highway, the average speed of the vehicle is 105±5km / h. The average speed of about 105km / h is closer to the actual driving habits of Chinese highways, thereby ensuring that the test results are more in line with the user's actual conditions.

[0037] This embodiment also utilizes real-time navigation maps to determine appropriate test routes for different test conditions. During actual testing, there's often a certain distance between the vehicle's departure point and the test starting point. Excessive distance can affect the accuracy of test results. Therefore, based on real-time navigation data, the selected test route must satisfy the following requirements: Under all test conditions, the distance between the departure point and the test starting point must be less than or equal to a first distance threshold. For example, in this embodiment, the first distance threshold is set to 15 km.

[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 circular route. This is because a circular route allows for longer driving distances within a limited urban area, improving road resource utilization and ensuring test completion. Furthermore, urban traffic flows tend to be circular, and a circular route better simulates actual vehicle driving paths and traffic conditions, including frequent starts and stops, accelerations, and decelerations, more comprehensively reflecting the vehicle's daily driving conditions in urban areas.

[0039] In step S2 of this embodiment, the driving mode is determined according to the test conditions. Common driving modes for vehicles include economic mode (energy-saving mode) and sports mode. Among them, the economic mode has a longer cruising range, and the sports mode provides faster throttle response and higher power output. When the test condition is an urban condition, the vehicle is traveling at a low speed. Compared with power, economy and long cruising range are the points that users pay more attention to. Based on this, the driving mode is determined to be an economic mode; when the test condition is a high-speed condition, the vehicle is traveling at a higher speed, and there are more high-speed overtaking requirements. Power is the point that users pay more attention to. Based on this, the driving mode is determined to be a sports mode. This choice of driving mode is more in line with the user's actual usage conditions, so that the test results are more recognized by users.

[0040] The energy recovery level is also a significant factor affecting the range of electric vehicles, and users often select different energy recovery levels in different situations. To ensure compliance with actual user operating conditions, this embodiment associates the energy recovery level with the driving mode in step S3, making the test more tailored to the user's operating conditions. Specifically, when the driving mode is Economy, which seeks a longer range, the energy recovery level is set to the highest level; when the driving mode is Sport, which seeks better power performance, the energy recovery level is set to the lowest level.

[0041] The use of air conditioning is also an important factor affecting the range of electric vehicles when they are working. However, in existing tests, the environmental parameters are fixed and the air conditioning strategy is not adjusted dynamically in combination with real-time temperature, resulting in distorted energy consumption simulation. Therefore, in step S4 of this embodiment, the use of air conditioning is intelligently matched with temperature conditions to improve the coverage of test scenarios and ensure that the test results are truly consistent with the user's working conditions. Among them, step S4 includes: when the outdoor temperature is ≥ the first temperature threshold, it is considered to be at high temperature, the air conditioning is set to cooling, the cooling temperature is less than the first temperature threshold, the internal circulation is turned on, and the wind speed is set to medium; when the outdoor temperature is ≤ the second temperature threshold, it is considered to be at low temperature, the air conditioning is set to heating, the heating temperature is greater than the second temperature threshold, the external circulation is turned on, the wind speed is set to medium, and defrost is turned on; when the second temperature threshold is less than the outdoor temperature and less than the first temperature threshold, it is considered to be at normal temperature and the air conditioning is set to off.

[0042] For example, the second temperature threshold is 10°C, and the first temperature threshold is 30°C. Accordingly, the cooling temperature is set to 26°C, and the heating temperature is set to 22°C. In practice, these values ​​can be flexibly set based on actual conditions, making the test more consistent with actual user conditions and improving the reliability of the test results.

[0043] After completing the pre-test vehicle setup according to steps S1 to S4 above, the test can begin. Unlike traditional bench testing, this embodiment conducts real-world 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 charge and, based on navigation data, arrives at the nearest test route to begin testing. Testing continues until the vehicle breaks down, and the mileage of the entire test is recorded. This can be done by reading the odometer reading at the beginning and end of the test. It should be noted that under highway conditions, if a vehicle breaks down on a highway, it poses a safety risk. In real-world user situations, users will likely exit the highway in advance when their vehicle is about to break down. Therefore, in step S5 of this embodiment, a battery warning strategy is implemented when the vehicle is in highway conditions to prevent the risk of being stranded due to power loss. Specifically, if the vehicle's remaining battery charge is detected to be less than a preset battery threshold, an alert is issued to the user, and the nearest highway exit is forwarded to the user based on real-time navigation data. Upon receiving the alert, the user exits the highway based on the real-time navigation data, completing the test on a normal road until the vehicle breaks down. The power threshold in this embodiment is 15%, which can be flexibly set according to actual conditions during implementation.

[0044] This embodiment further proposes a user-condition-based electric vehicle range test system, which is constructed according to the above-mentioned user-condition-based electric vehicle range test method. The system includes an on-board navigation system, an outdoor temperature sensor, a BMS (battery management system), a vehicle speed sensor, a human-computer interaction device, a controller, an on-board air conditioner, an alarm device, an energy recovery gear switch, and a driving mode switch. The controller is respectively connected to the on-board navigation system, the outdoor temperature sensor, the BMS, the vehicle speed sensor, the human-computer interaction device, the on-board air conditioner, the alarm device, the energy recovery gear switch, and the driving mode switch, wherein:

[0045] The vehicle navigation is used to obtain real-time navigation data and send it to the controller;

[0046] The outdoor temperature sensor is used to obtain 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 obtain 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 threshold values ​​preset for the test and send them to the controller;

[0050] The controller is used to receive input data from the on-board navigation, outdoor temperature sensor, BMS, vehicle speed sensor, and human-computer interaction device, and after processing according to the above-mentioned electric vehicle range test method based on user operating conditions, generate corresponding control signals to the on-board air conditioner, energy recovery gear switch, alarm device, and driving mode switching switch to automatically complete the vehicle settings before the test and the alarm during the test.

[0051] In specific implementations, the human-machine interface device uses a touchscreen, supporting manual touch input for various commands and parameter settings. The controller can use the vehicle's built-in cockpit domain controller to save costs. Both the energy recovery gear switch and the driving mode selector can be soft switches integrated into the human-machine interface device—soft switches controlled by software code, offering a high level of intelligent operation. Alarm devices typically employ audible and visual alarms, including buzzers, indicator lights, and other devices. Flexibility in implementation depends on the specific situation.

[0052] The present invention has been described above with reference to the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-described method. Any non-substantial improvements made using the method concepts and technical solutions of the present invention, or any direct application of the above-described concepts and technical solutions to other situations without modification, fall within the scope of protection of the present invention.

Claims

1. A method for testing the range of an electric vehicle based on user operating conditions, characterized by: The method comprises the following steps: Step S1: selecting a test condition, which includes an urban condition and a high-speed condition, and selecting a test route based on real-time navigation data; Step S2: determining a driving mode according to the test conditions, including an economy mode and a sports mode; Step S3: determining an energy recovery level according to the driving mode; Step S4: determining the air conditioning setting according to the real-time outdoor temperature; Step S5: According to the settings of steps S1 to S4, a real vehicle test is performed until the vehicle breaks down, and the entire cruising range is recorded during the test.

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

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

4. The electric vehicle range testing method based on user operating conditions according to claim 1, characterized in that: In step S1 , the test route selected based on the real-time navigation data must satisfy the following requirements: under urban conditions, the test route is a circular route.

5. The electric vehicle range testing method based on user operating conditions according to claim 1, characterized in that: In step S2, when the test condition is an urban condition, the driving mode is determined to be an economic mode; when the test condition is a high-speed condition, the driving mode is determined to be a sports mode.

6. The electric vehicle range testing method based on user operating conditions according to claim 1, characterized in that: In step S3, when the driving mode is the economic mode, the energy recovery level is set to the highest gear; when the driving mode is the sports mode, the energy recovery level is set to the lowest gear.

7. The electric vehicle range testing method based on user operating conditions according to claim 1, characterized in that: The step S4 includes: when the outdoor temperature is ≥ the first temperature threshold, it is considered to be at high temperature, the air conditioner is set to cooling, the cooling temperature is less than the first temperature threshold, the internal circulation blowing is turned on, and the wind speed is set to medium; when the outdoor temperature is ≤ the second temperature threshold, it is considered to be at low temperature, the air conditioner is set to heating, the heating temperature is greater than the second temperature threshold, the external circulation blowing is turned on, the wind speed is set to medium, and the defrost is turned on; when the second temperature threshold is less than the outdoor temperature and less than the first temperature threshold, it is considered to be at normal temperature, and the air conditioner is set to off.

8. The electric vehicle range testing method based on user operating conditions according to claim 7, characterized in that: The second temperature threshold is 10°C, and the first temperature threshold is 30°C.

9. The electric vehicle range testing method based on user operating conditions according to claim 1, characterized in that: The step S5 includes: when the vehicle is in a high-speed operating condition, if it is detected that the remaining power of the vehicle is less than a preset power threshold, an alarm is issued to the user and the nearest highway exit is pushed to the user according to the real-time navigation data. After receiving the alarm, the user exits the highway section according to the real-time navigation data and completes the test after driving on an ordinary road until the vehicle stops.

10. A user-operating-condition-based electric vehicle range testing system, constructed according to the user-operating-condition-based electric vehicle range testing method according to any one of claims 1 to 9, characterized in that: The system includes an on-board navigation system, an outdoor temperature sensor, a BMS, a vehicle speed sensor, a human-computer interaction device, a controller, an on-board air conditioner, an alarm device, an energy recovery gear switch, and a driving mode switch. The controller is connected to the on-board navigation system, the outdoor temperature sensor, the BMS, the vehicle speed sensor, the human-computer interaction device, the on-board air conditioner, the alarm device, the energy recovery gear switch, and the driving mode switch, respectively. The vehicle navigation is used to obtain real-time navigation data and send it to the controller; The outdoor temperature sensor is used to obtain 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 obtain 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 threshold values ​​preset for the test and send them to the controller; The controller is used to receive input data from the on-board navigation, outdoor temperature sensor, BMS, vehicle speed sensor, and human-computer interaction device, and after processing the data according to the electric vehicle range testing method based on user operating conditions according to any one of claims 1 to 9, generate corresponding control signals to the on-board air conditioner, energy recovery gear switch, alarm device, and driving mode switching switch to automatically complete the vehicle settings before the test and the alarm during the test.

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