A new energy vehicle driving safety evaluation operation method and system

Abstract

The application provides a new energy vehicle driving safety evaluation operation method and system. The method comprises detecting different parts of the vehicle by the driver, triggering the feedback mechanism of different parts of the vehicle according to the detection operation, feeding back the action, constructing the vehicle risk point trigger basic data set, monitoring the vehicle state based on the vehicle risk point trigger basic data set, and obtaining the vehicle risk point trigger action data set in the detection process, constructing a weighted vehicle driving safety evaluation model, inputting the risk point trigger action data set in the test process of the four different states and the vehicle risk point trigger basic data set into the vehicle driving safety evaluation model, and obtaining the new energy vehicle driving safety evaluation result. The application solves the problem that there is no comprehensive evaluation method process and quantitative evaluation result method for the reaction action of the new energy vehicle to each test under various states.

Description

Technical Field

[0001] This invention relates to the field of automotive safety assessment technology, specifically to a method and system for assessing the driving and riding safety of new energy vehicles. Background Technology

[0002] Vehicle operation safety performance assessment is a core component of the vehicle's passive safety system. It focuses on the safety protection capabilities of frequently operated components such as windows, tailgate, doors, seats, handles, gear shift, accelerator pedal, brakes, and charging contact status under normal and abnormal operating conditions. Essentially, it uses standardized and repeatable testing methods to proactively identify and eliminate potential harm risks during human-machine interaction, directly impacting the safety of drivers, passengers (especially vulnerable groups such as children and the elderly), and pedestrians.

[0003] Traditional assessment methods, such as standard finger-simulating block anti-pinch tests and functional verification under static conditions, are compliance verification systems established based on minimum regulatory requirements and ideal laboratory conditions, playing a crucial role in the early stages of the automotive industry's development. However, with the rapid advancement of vehicle electrification and intelligentization, and the continuous increase in user safety requirements, their inherent limitations have become increasingly apparent. They can no longer fully cover the complex risk scenarios in actual use, and traditional methods are severely inadequate in covering the operating conditions of vehicles. For example, there is no comprehensive assessment methodology or method for quantifying the response of new energy vehicles to various tests during charging and power outage states.

[0004] Therefore, there is an urgent need to develop a method and system for assessing the driving safety of new energy vehicles in order to solve the problems mentioned above. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention proposes a method and system for assessing the driving safety of new energy vehicles. This addresses the technical problem in existing technologies where there is no comprehensive assessment method or process, nor a method for quantifying assessment results, regarding the response actions of new energy vehicles to various tests under multiple conditions.

[0006] The technical solution adopted in this invention includes: Drivers and passengers perform inspection operations on different parts of the car. The inspection operations trigger feedback mechanisms in different parts of the vehicle. Different parts respond with actions based on these mechanisms. Based on these responses, a basic dataset of trigger points for the entire vehicle risk is constructed. Based on the aforementioned vehicle risk point triggering basic dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process. Based on the aforementioned vehicle risk point triggering basic dataset and vehicle risk point triggering action dataset, multi-dimensional operational safety performance tests were conducted on new energy vehicles in four different states, and corresponding risk point triggering action datasets were collected based on the vehicle safety performance tests and feedback was used to construct the test process data for the four different states. Based on the aforementioned basic dataset of vehicle risk point triggers and the dataset of risk point trigger actions of the vehicle in four different states of safety testing, a weighted vehicle driving safety evaluation model is constructed. The datasets of risk point triggering actions during the test process in the four different states are input into the vehicle driving safety evaluation model along with the basic dataset of risk point triggering of the whole vehicle to obtain the driving safety evaluation results of the new energy vehicle.

[0007] Furthermore, the aforementioned construction of a basic dataset for triggering vehicle risk points based on feedback actions includes: The new energy vehicle is subjected to test environment configuration and working condition preprocessing to obtain a test vehicle that meets the test standards; Different parts of the vehicle under test are inspected to obtain a set of operation object parameters with potential risk points; The operation objects of vehicle risk points are not distinguished by their different states, resulting in a set of operation object state parameters triggered by risk points under different state tests. Under different triggering states, triggering behaviors are performed on operation objects with risk points to obtain a set of risk behavior triggering parameters; Data monitoring is performed on the set of parameters of the operation object, the set of parameters of the operation object state, and the set of parameters for triggering risk behavior to obtain basic data for triggering risk points of the whole vehicle. The basic data for triggering risk points of the whole vehicle is then classified, aligned, and standardized to obtain the basic dataset for triggering risk points of the whole vehicle.

[0008] Furthermore, based on the aforementioned vehicle risk point triggering dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process, including: The vehicle states in the basic dataset for triggering risk points of the whole vehicle are classified to obtain the corresponding operation object parameters under different states; Based on the preset rules for determining the dangerous state of drivers and passengers, the status of the basic dataset of vehicle risk points is identified to obtain the vehicle risk point monitoring results. Based on the vehicle risk point monitoring results, the vehicle is in the corresponding state, and for the corresponding operation object, validity verification and feature extraction are performed to obtain the whole vehicle risk point trigger action dataset.

[0009] Furthermore, the aforementioned construction of a dataset of risk point triggering actions during the test process in four different states includes distinguishing the vehicle in a stationary state by feature labels to obtain a test dataset with vehicle feature labels. Based on the test dataset with vehicle feature labels, multi-dimensional operational safety performance sub-tests were conducted to obtain the original dataset of the judgment results for each sub-test. The original datasets of the judgment results of each sub-item test are analyzed and processed to obtain a standardized sub-item test dataset; and data cleaning and standardization are performed to obtain a dataset of risk point trigger actions.

[0010] The process of identifying the state of the vehicle risk point triggering basic dataset based on preset occupant danger status judgment rules to obtain vehicle risk point monitoring results includes: When the vehicle is stationary and the windows are open, if the window switch is operated and the resistance of the simulated finger device remains closed, the vehicle is judged to be in a risky state; otherwise, the vehicle is judged not to be in a risky state, and the corresponding monitoring results are obtained.

[0011] Furthermore, the multi-dimensional operational safety performance sub-tests include real-time result data from the operational safety testing process, and the final quantitative score is calculated using the vehicle operational safety test scoring formula, as shown below: S=100-2r In the formula, S is the overall score, and r is the number of risk points.

[0012] Furthermore, the construction of the weighted vehicle ride safety evaluation model includes: The dataset of the risk point trigger actions is decomposed dimensionally to obtain the basic feature dataset of each sub-item test; Feature values ​​are extracted from the action feature datasets of each sub-test to obtain the core evaluation parameters of each sub-test; The validity of the core evaluation parameters for each sub-test is verified to obtain the verified set of sub-test evaluation parameters. The verified sub-evaluation parameter set is classified and integrated to obtain the sub-safety evaluation dataset.

[0013] Furthermore, for each sub-item evaluation parameter in the sub-item safety evaluation dataset, the corresponding preset scoring rules are matched to obtain five levels of vehicle operation safety evaluation levels.

[0014] The overall vehicle operation safety evaluation level is: S≥90 is Level 5; 80≤S<90 is Level 4; 70≤S<80 is Level 3; 60≤S<70 is Level 2; S < 60 indicates Level 1.

[0015] Further tests include: window and sunroof operation tests, hand-clamping tests, interior and exterior door handle operation tests, electronic parking brake operation tests, D / R gear operation tests, accelerator pedal operation tests, simultaneous accelerator and brake pedal operation tests, and voice control operation tests when the vehicle is stationary; electronic parking brake activation tests, P / R / N gear operation tests, brake and accelerator pedal operation tests, door opening and closing tests, mechanical door emergency switch operation tests, and starter switch operation tests when the vehicle is in motion; electronic parking brake activation tests, D / R / N gear operation tests when the vehicle is charging; and electronic parking brake activation tests, D / R / N gear operation tests when the vehicle is discharging.

[0016] Furthermore, the present invention provides a new energy vehicle driving safety assessment system, comprising: The whole vehicle risk point triggering basic data acquisition module is used to generate a unified format whole vehicle risk point triggering basic dataset from the collected heterogeneous data; The vehicle status real-time monitoring module can perceive the vehicle's operating status in real time. The whole vehicle risk point trigger action data acquisition module records the complete feedback process of the vehicle to risky operations and extracts key action features for safety assessment. The test execution control module automatically executes all sub-tests under four core vehicle states; The security evaluation module, based on the massive amounts of collected data, constructs a weighted security evaluation model, performs the final security assessment calculation, and outputs a quantitative score and security level.

[0017] Furthermore, the present invention provides a computer storage medium storing a computer program that can run on a processor, wherein the processor executes the computer program to implement the new energy vehicle driving safety assessment operation method described in any one of the above-mentioned methods.

[0018] As can be seen from the above technical solution, the beneficial technical effects of the present invention are as follows: 1. To address the problem of insufficient coverage in traditional assessment methods, this invention achieves systematic coverage of all core states of new energy vehicles, filling the gap in traditional assessments for scenarios unique to new energy vehicles; it clearly covers the four core operating states of new energy vehicles: stationary, driving, charging, and discharging. Among these, charging and discharging are high-risk scenarios unique to new energy vehicles, which are completely ignored by the traditional assessment system for fuel vehicles.

[0019] Each state is matched with targeted high-risk test items, including more than 10 daily high-frequency operations such as stationary state, covering anti-pinch of windows / sunroof, door handles, electronic parking brake, gear shifting misoperation, and voice control, with a wide coverage.

[0020] 2. A three-layer data architecture was used to achieve precise quantification of safety performance. Two core basic datasets were constructed: the whole vehicle risk point triggering basic dataset covers the physical parameters, state parameters and triggering behavior parameters of all operating objects; the whole vehicle risk point triggering action dataset records the vehicle's complete feedback process response time, action amplitude, anti-pinch force, etc. for each risk operation, and a quantifiable comprehensive scoring formula was proposed.

[0021] This invention achieves a closed-loop quantitative assessment of the entire chain of operation, feedback, and risk. It realizes full-process data collection, data recording, calculation, and judgment, and outputs the safety level of the entire new energy vehicle through quantitative assessment of the vehicle's safety performance. Attached Figure Description

[0022] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0023] Figure 1 This is a schematic diagram of the method flow for assessing the driving safety of a new energy vehicle according to the present invention; Figure 2 This is a schematic diagram of the system structure of the present invention; Figure 3 This is a schematic diagram of the structure of the storage medium in Embodiment 3 of the present invention. Detailed Implementation

[0024] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0025] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0026] Example 1 like Figure 1 As shown, this embodiment provides a method for assessing the driving safety of new energy vehicles; including drivers and passengers performing inspection operations on different parts of the vehicle, triggering feedback mechanisms for different parts of the vehicle based on the inspection operations, different parts providing feedback actions according to the feedback mechanisms, and constructing a basic dataset for triggering risk points of the entire vehicle based on the feedback actions. Based on the aforementioned vehicle risk point triggering basic dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process. Based on the aforementioned vehicle risk point triggering basic dataset and vehicle risk point triggering action dataset, multi-dimensional operational safety performance tests were conducted on new energy vehicles in four different states, and corresponding risk point triggering action datasets were collected based on the vehicle safety performance tests and feedback was used to construct the test process data for the four different states. Based on the aforementioned basic dataset of vehicle risk point triggers and the dataset of risk point trigger actions of the vehicle in four different states of safety testing, a weighted vehicle driving safety evaluation model is constructed. The datasets of risk point triggering actions during the test process in the four different states are input into the vehicle driving safety evaluation model along with the basic dataset of risk point triggering of the whole vehicle to obtain the driving safety evaluation results of the new energy vehicle.

[0027] In this embodiment, the construction of the basic dataset for triggering vehicle risk points based on feedback actions includes: The new energy vehicle is subjected to test environment configuration and working condition preprocessing to obtain a test vehicle that meets the test standards; Different parts of the vehicle under test are inspected to obtain a set of operation object parameters with potential risk points; The operation objects of vehicle risk points are not distinguished by their different states, resulting in a set of operation object state parameters triggered by risk points under different state tests. Under different triggering states, triggering behaviors are performed on operation objects with risk points to obtain a set of risk behavior triggering parameters; Data monitoring is performed on the set of parameters of the operation object, the set of parameters of the operation object state, and the set of parameters for triggering risk behavior to obtain basic data for triggering risk points of the whole vehicle. The basic data for triggering risk points of the whole vehicle is then classified, aligned, and standardized to obtain the basic dataset for triggering risk points of the whole vehicle.

[0028] In this embodiment, based on the vehicle risk point triggering basic dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process, including: The vehicle states in the basic dataset for triggering risk points of the whole vehicle are classified to obtain the operation object parameters corresponding to different states. Based on the preset rules for determining the dangerous state of drivers and passengers, the status of the basic dataset of vehicle risk points is identified to obtain the vehicle risk point monitoring results. Based on the vehicle risk point monitoring results, the vehicle is in the corresponding state, and for the corresponding operation object, validity verification and feature extraction are performed to obtain the whole vehicle risk point trigger action dataset.

[0029] In this embodiment, the construction of a dataset of risk point triggering actions in the test process under four different states includes distinguishing the vehicle in a stationary state by feature labels to obtain a test dataset with vehicle feature labels. Based on the test dataset with vehicle feature labels, multi-dimensional operational safety performance sub-tests were conducted to obtain the original dataset of the judgment results for each sub-test. The original datasets of the judgment results of each sub-item test are analyzed and processed to obtain a standardized sub-item test dataset; and data cleaning and standardization are performed to obtain a dataset of risk point trigger actions.

[0030] The process of performing state recognition on the vehicle risk point triggering basic dataset according to preset occupant danger state judgment rules to obtain vehicle risk point monitoring results includes: When the vehicle is stationary and the windows are open, if the window switch is operated and the resistance of the simulated finger device remains closed, the vehicle is judged to be in a risky state; otherwise, the vehicle is judged not to be in a risky state, and the corresponding monitoring results are obtained.

[0031] In this embodiment, the multi-dimensional operational safety performance sub-test includes calculating the final quantitative score based on real-time result data from the operational safety test process using the vehicle operational safety test scoring formula, as shown below: S=100-2r In the formula, S is the overall score, and r is the number of risk points.

[0032] In this embodiment, the construction of the weighted vehicle ride safety evaluation model includes: The dataset of the risk point trigger actions is decomposed dimensionally to obtain the basic feature dataset of each sub-item test; Feature values ​​are extracted from the action feature datasets of each sub-test to obtain the core evaluation parameters of each sub-test; The validity of the core evaluation parameters for each sub-test is verified to obtain the verified set of sub-test evaluation parameters. The verified sub-evaluation parameter set is classified and integrated to obtain the sub-safety evaluation dataset.

[0033] In this embodiment, the evaluation parameters of each sub-item in the sub-item safety evaluation dataset are matched with the corresponding preset scoring rules to obtain five levels of vehicle operation safety evaluation levels.

[0034] The overall vehicle operation safety evaluation level is: S≥90 is Level 5; 80≤S<90 is Level 4; 70≤S<80 is Level 3; 60≤S<70 is Level 2; S < 60 indicates Level 1.

[0035] Example 2, as Figure 2 ; In this embodiment, the present invention provides a new energy vehicle driving safety assessment system, comprising: The whole vehicle risk point triggering basic data acquisition module is used to generate a unified format whole vehicle risk point triggering basic dataset from the collected heterogeneous data; The vehicle status real-time monitoring module can perceive the vehicle's operating status in real time. The whole vehicle risk point trigger action data acquisition module records the complete feedback process of the vehicle to risky operations and extracts key action features for safety assessment. The test execution control module automatically executes all sub-tests under four core vehicle states; The security evaluation module, based on the massive amounts of collected data, constructs a weighted security evaluation model, performs the final security assessment calculation, and outputs a quantitative score and security level.

[0036] Furthermore, the present invention provides a computer storage medium storing a computer program that can run on a processor, wherein the processor executes the computer program to implement the new energy vehicle driving safety assessment operation method described in any one of the above-mentioned methods.

[0037] In this embodiment, the following tests are conducted: When the vehicle is stationary, the tests include: window and sunroof operation, hand-clamping test, interior and exterior door handle operation, electronic parking brake operation, D / R gear operation, accelerator pedal operation, simultaneous accelerator and brake pedal operation, and voice control operation; when the vehicle is in motion, the tests include: electronic parking brake activation, P / R / N gear operation, brake and accelerator pedal operation, door opening and closing, mechanical door emergency switch operation, and starter switch operation; when the vehicle is charging, the tests include: electronic parking brake activation, D / R / N gear operation; and when the vehicle is discharging, the tests include: electronic parking brake activation, D / R / N gear operation.

[0038] Specifically, in this embodiment, the terminology and definitions used for electric vehicle testing are based on those defined in standards GB 18384-2020, GB / T18487.1-2023, GB / T 19596-2017, GB 38031-2025, GB / T 43332-2023, and GB 44263-2024, and the following terms and definitions are applicable to this invention, including: 1. Outside handle for car doors Located on the outside of a car door, it is a component used to open the door. 2. Inside door handle Located on the inside of a car door, it is a component used to open the door. 3. Vehicle stationary status. The state when the vehicle is stationary, in P gear, with the handbrake activated and the vehicle powered on. 4. Vehicle driving status The vehicle is in a state where the driving speed is ≥30km / h or the automatic door locking speed is reached; 5. Vehicle charging status The vehicle is in a state where it is charging normally and the charging current is not zero.

[0039] 6. Vehicle external discharge status A vehicle equipped with external discharge capability is in a state where it is connected to electrical equipment and the discharge current is not zero.

[0040] In this embodiment, the specific test conditions include the site and environment. The test site should be a road surface paved with cement concrete or asphalt, which should be flat, clean and free of standing water.

[0041] Vehicle conditions a) The vehicle's SOC is between 20% and 90%.

[0042] b) The test vehicle is operating normally and there are no fault alarms.

[0043] c) Inflate the tires to the pressure specified by the supplier.

[0044] In this embodiment, the specific test method, the safety performance test of the driver and passengers in a stationary vehicle state, involves adjusting the vehicle to a stationary state: Test 1: Window and sunroof operation test 1) Ensure all windows and sunroof are fully open; 2) Place the finger simulator at three points above the driver's side window: in front, in the middle, and at the rear. 3) Activate the one-touch window closing button to close the driver's side window; 4) If the driver's side window stops closing when it encounters resistance, it is considered a normal result; if the driver's side window continues to close when it encounters resistance from the finger simulation device, it is considered a risk point. 5) Repeat steps 2), 3) and 4) to conduct safety performance tests on other windows and sunroofs.

[0045] Test 2: Interior door handle operation test The vehicle is powered off and locked. 1) Test subject A sits in the driver's seat, and test subject B sits in the passenger seat; 2) Test personnel A operated the vehicle's high-voltage power-off switch to put the vehicle into a high-voltage power-off state; 3) Personnel A left the vehicle and locked it from the outside; 4) Test personnel B pulls the interior door handle from inside the vehicle; 5) If test subject B can open the car door smoothly, it is judged as a correct result; if test subject B cannot open the car door smoothly, it is judged as a risk point.

[0046] Test 3: Drive in D mode and with the car locked 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Shift to D gear according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Pull the driver's door switch; 4) If the driver's door cannot be opened, or the vehicle automatically switches to the brake, or automatically switches to P gear, or the vehicle issues an alarm, the result is considered correct; if the vehicle does not change its state and the door can be opened, the result is considered a risk point.

[0047] Test 4: Reverse gear and locked 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Shift to R gear according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Pull the driver's door switch; 4) If the driver's door cannot be opened, or the vehicle automatically switches to the brake, or automatically switches to P gear, or the vehicle issues an alarm, the result is considered correct; if the vehicle does not change its state and the door can be opened, the result is considered a risk point.

[0048] Test 5: Neutral gear and locked 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Shift to neutral (N) according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Pull the driver's door switch; 4) If the driver's door cannot be opened, or the vehicle automatically switches to the brake, or automatically switches to P gear, or the vehicle issues an alarm, the result is considered correct; if the vehicle does not change its state and the door can be opened, the result is considered a risk point.

[0049] Test 6: Exterior door handle operation test Drive (in D mode) and the car is locked. 1) Test subject A sits in the driver's seat and fastens his seatbelt; 2) Shift to D gear according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Test personnel B pulls the driver's side door switch from outside the vehicle; 4) If the driver's side door cannot be opened, it is considered a correct result; if the driver's side door can be opened, it is considered a risk point.

[0050] Test 7: Reverse gear and locked 1) Test subject A sits in the driver's seat and fastens his seatbelt; 2) Shift to R gear according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Test personnel B pulls the driver's side door switch from outside the vehicle; 4) If the driver's side door cannot be opened, it is considered a correct result; if the driver's side door can be opened, it is considered a risk point.

[0051] Test 8: Neutral gear and locked 1) Test subject A sits in the driver's seat and fastens his seatbelt; 2) Shift to neutral (N) according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Test personnel B pulls the driver's side door switch from outside the vehicle; 4) If the driver's side door cannot be opened, it is considered a correct result; if the driver's side door can be opened, it is considered a risk point.

[0052] Test 9: Parked in P gear and the car locked 1) Test subject A sits in the driver's seat and fastens his seatbelt; 2) Shift to P gear according to the vehicle's required gear shifting procedure, and lock the doors using the door lock switch; 3) Test personnel B pulls the driver's side door switch from outside the vehicle; 4) If the driver's side door cannot be opened, it is considered a correct result; if the driver's side door can be opened, it is considered a risk point.

[0053] Test 10: Electronic parking brake operation test 1) Operate the vehicle's high-voltage power-off switch to put the vehicle into a high-voltage power-off state; 2) Release the electronic parking brake by operating the electronic parking brake switch; 3) If the handbrake cannot be released, it is considered a correct result; if the handbrake can be released but the vehicle slides, it is considered a risk point.

[0054] Test 11: D-gear operation test 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Keep the driver's door open; 3) Shift into D gear according to the vehicle's required shifting procedure; 4) If the vehicle cannot be put into D gear, or if there are voice, text, or icon prompts after putting into D gear, it is considered a correct result; if the vehicle is put into D gear but there are no voice, text, or icon prompts and the vehicle can drive normally, it is considered a risk point.

[0055] Test 12: R-gear operation test 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Keep the driver's door open; 3) Shift into reverse (R) according to the vehicle's required shifting procedure; 4) If the vehicle cannot be shifted into reverse gear, or if there are voice, text, or icon prompts after shifting into reverse gear, the result is considered correct; if the vehicle is shifted into reverse gear but there are no voice, text, or icon prompts and the vehicle can drive normally, it is considered a risk point.

[0056] Test 13: Accelerator Pedal Operation Test 1) Test subject A sits in the driver's seat and test subject B sits in the passenger seat, both wearing seat belts; 2) Close all doors; 3) Test personnel A shifted the gear to D according to the vehicle's required shifting procedure; 4) Test personnel B opened the passenger door; 5) Test subject A presses the accelerator pedal; 6) If the vehicle cannot move, or if the vehicle is moving normally with voice, text, or icon prompts, it is considered a correct result; if the vehicle can move normally but there are no voice, text, or icon prompts, it is considered a risk point.

[0057] Test 14: Simultaneous Operation Test of Accelerator and Brake Pedals 1) The test personnel should sit in the driver's seat and fasten their seat belts; 2) Shift into D gear according to the vehicle's required shifting procedure; 3) Press the accelerator pedal and the brake pedal simultaneously; 4) If the vehicle remains stationary, it is considered a correct result; if the vehicle accelerates, it is considered a risk point.

[0058] Test 15: Voice Control Operation Experiment 1) Determine the control command for opening the car windows and its implementation method; 2) Test personnel A sits in the driver's seat, keeping all doors, windows and sunroof of the vehicle completely closed; 3) Test personnel B stood outside the driver's side window and the passenger side window respectively and used voice control to open the vehicle windows; 4) If the car window cannot be opened, it is considered a correct result; if the car window can be opened, it is considered a risk point.

[0059] Test 16: Electronic parking brake activation test when the vehicle is in motion. 1) Activate the electronic parking brake by operating the electronic parking brake switch; 2) If the vehicle continues to drive normally or brakes slowly, it is considered a correct result; if the vehicle brakes suddenly, it is considered a risk point.

[0060] Test 17: Parking (P) gear operation test 1) Engage the gear lever to shift to P gear; 2) If it is impossible to engage P gear or slow down to a stop, the result is considered correct; if it engages P gear or brakes suddenly, it is considered a risk point.

[0061] Test 18: R-gear operation test 1) Shift the gear lever to R (reverse) gear; 2) If it is impossible to engage R gear, the result is considered correct; if it is possible to engage R gear, the result is considered risky.

[0062] Test 19: Neutral (N) Gear Operation Test 1) Shift the gear lever to neutral (N). 2) If it is impossible to shift into N gear, the result is considered correct; if it is possible to shift into N gear, the result is considered risky.

[0063] Test 20: Brake and Accelerator Pedal Operation Test 1) Press the accelerator pedal and the brake pedal simultaneously; 2) If the vehicle brakes, the result is considered correct; if the vehicle accelerates, the result is considered risky.

[0064] Test 21: Door Opening and Closing Test 1) Test personnel A drives the vehicle, and test personnel B sits in the passenger seat; 2) Test personnel A operated the door unlock switch; 3) Test personnel B operated the passenger-side door switch to attempt to open the door; 4) If the passenger door cannot be opened, it is considered a correct result; if the passenger door can be opened, it is considered a risk point.

[0065] Test 22: Mechanical door emergency switch operation test 1) Test personnel A drives the vehicle, and test personnel B sits in the passenger seat; 2) Test personnel B pulled the mechanical emergency door switch of the passenger side door; 3) If the passenger door cannot be opened, it is considered a correct result; if the passenger door can be opened, it is considered a risk point.

[0066] Test 23: Start-up switch operation test 1) The test personnel pressed the vehicle start switch; 2) If the vehicle does not respond and continues to drive normally, or if there are voice, text, or icon prompts, it is considered a correct result; if the vehicle start switch is activated, or if the engine stalls or the high voltage is cut off, it is considered a risk point.

[0067] Vehicle charging status occupant operation safety performance test Test 24: Operating the vehicle to put it in a charging state, electronic parking brake operation test. 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Disengage the electronic parking brake by operating the electronic parking brake switch; 3) If the handbrake cannot be released, it is considered a correct result; if the handbrake can be released, it is considered a risk point.

[0068] Test 25: D-gear operation test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift into D gear according to the vehicle's required shifting procedure; 3) If it is impossible to shift into D gear, the result is considered correct; if it is possible to shift into D gear, the result is considered risky.

[0069] Test 26: R-gear operation test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift into reverse (R) according to the vehicle's required shifting procedure.

[0070] 3) If it is impossible to engage R gear, the result is considered correct; if it is possible to engage R gear, the result is considered risky.

[0071] Test 27: Neutral (N) Gear Operation Test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift to neutral (N) according to the vehicle's required shifting procedure; 3) If it is impossible to shift into N gear, the result is considered correct; if it is possible to shift into N gear, the result is considered risky.

[0072] Test 28: Safety performance test of occupant operation under vehicle external discharge state, involving operating the vehicle to put it in an external discharge state, and testing the electronic parking brake operation. 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Disengage the electronic parking brake by operating the electronic parking brake switch; 3) If the handbrake cannot be released, it is considered a correct result; if the handbrake can be released, it is considered a risk point.

[0073] Test 29: D-gear operation test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift into D gear according to the vehicle's required shifting procedure; 3) If it is impossible to shift into D gear, the result is considered correct; if it is possible to shift into D gear, the result is considered risky.

[0074] Test 30: R-gear operation test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift into reverse (R) according to the vehicle's required shifting procedure.

[0075] 3) If it is impossible to engage R gear, the result is considered correct; if it is possible to engage R gear, the result is considered risky.

[0076] Test 31: Neutral (N) gear operation test 1) The test personnel enter the vehicle, sit in the driver's seat, fasten their seat belts, and close the door; 2) Shift to neutral (N) according to the vehicle's required shifting procedure; If it is impossible to shift into neutral (N) gear, the result is considered correct; if it is possible to shift into neutral (N) gear, the result is considered risky.

[0077] Example 3 In this embodiment, as shown in the example Figure 3 The present invention provides a computer storage medium storing a computer program that can run on a processor. When the processor executes the computer program, it implements the new energy vehicle driving safety assessment operation method described in any one of the above-mentioned methods.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for assessing the driving safety of new energy vehicles, characterized in that, include: Drivers and passengers perform inspection operations on different parts of the car. The inspection operations trigger feedback mechanisms in different parts of the vehicle. Different parts respond with actions based on these mechanisms. Based on these responses, a basic dataset of trigger points for the entire vehicle risk is constructed. Based on the aforementioned vehicle risk point triggering basic dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process. Based on the aforementioned vehicle risk point triggering basic dataset and vehicle risk point triggering action dataset, multi-dimensional operational safety performance tests were conducted on new energy vehicles in four different states, and corresponding risk point triggering action datasets were collected based on the vehicle safety performance tests and feedback was used to construct the test process data for the four different states. Based on the aforementioned basic dataset of vehicle risk point triggers and the dataset of risk point trigger actions of the vehicle in four different states of safety testing, a weighted vehicle driving safety evaluation model is constructed. The datasets of risk point triggering actions during the test process in the four different states are input into the vehicle driving safety evaluation model along with the basic dataset of risk point triggering of the whole vehicle to obtain the driving safety evaluation results of the new energy vehicle.

2. The method for assessing the driving safety of new energy vehicles according to claim 1, characterized in that, The aforementioned construction of a basic dataset for triggering vehicle risk points based on feedback actions includes: The new energy vehicle is subjected to test environment configuration and working condition preprocessing to obtain a test vehicle that meets the test standards; Different parts of the vehicle under test are inspected to obtain a set of operation object parameters with potential risk points; The operation objects of vehicle risk points are not distinguished by their different states, resulting in a set of operation object state parameters triggered by risk points under different state tests. Under different triggering states, triggering behaviors are performed on operation objects with risk points to obtain a set of risk behavior triggering parameters; Data monitoring is performed on the set of parameters of the operation object, the set of parameters of the operation object state, and the set of parameters for triggering risk behavior to obtain basic data for triggering risk points of the whole vehicle. The basic data for triggering risk points of the whole vehicle is then classified, aligned, and standardized to obtain the basic dataset for triggering risk points of the whole vehicle.

3. The method for assessing the driving safety of new energy vehicles according to claim 1, characterized in that, Based on the aforementioned vehicle risk point triggering dataset, the vehicle status is monitored and the vehicle risk point triggering action dataset is constructed during the detection process, including: The vehicle states in the basic dataset for triggering risk points of the whole vehicle are classified to obtain the corresponding operation object parameters under different states; Based on the preset rules for determining the dangerous state of drivers and passengers, the status of the basic dataset of vehicle risk points is identified to obtain the vehicle risk point monitoring results. Based on the vehicle risk point monitoring results, the vehicle is in the corresponding state, and for the corresponding operation object, validity verification and feature extraction are performed to obtain the whole vehicle risk point trigger action dataset.

4. The method for assessing the driving safety of new energy vehicles according to claim 1, characterized in that, The aforementioned construction of a dataset of risk point triggering actions during the test process in four different states includes distinguishing the vehicle in a stationary state by feature labels to obtain a test dataset with vehicle feature labels. Based on the test dataset with vehicle feature labels, multi-dimensional operational safety performance sub-tests were conducted to obtain the original dataset of the judgment results for each sub-test. The original datasets of the judgment results of each sub-item test are analyzed and processed to obtain a standardized sub-item test dataset; The data was then cleaned and standardized to obtain a dataset of risk point trigger actions.

5. The method for assessing the driving safety of new energy vehicles according to claim 4, characterized in that, The multi-dimensional operational safety performance sub-tests include real-time result data from the operational safety testing process, with the final quantitative score calculated using the vehicle operational safety test scoring formula, as shown below: S=100-2r In the formula, S is the overall score, and r is the number of risk points.

6. The method for assessing the driving safety of new energy vehicles according to claim 1, characterized in that, The construction of the weighted vehicle ride safety evaluation model includes: The dataset of the risk point trigger actions is decomposed dimensionally to obtain the basic feature dataset of each sub-item test; Feature values ​​are extracted from the action feature datasets of each sub-test to obtain the core evaluation parameters of each sub-test; The validity of the core evaluation parameters for each sub-test is verified to obtain the verified set of sub-test evaluation parameters. The verified sub-evaluation parameter set is classified and integrated to obtain the sub-safety evaluation dataset.

7. The method for assessing the driving safety of new energy vehicles according to claim 6, characterized in that, For each sub-item evaluation parameter in the sub-item safety evaluation dataset, the corresponding preset scoring rules are matched to obtain five levels of vehicle operation safety evaluation levels, which are: S≥90 is Level 5; 80≤S<90 is Level 4; 70≤S<80 is Level 3; 60≤S<70 is Level 2; S < 60 indicates Level 1.

8. The method for assessing the driving safety of new energy vehicles according to claim 1, characterized in that, Tests included: window and sunroof operation, hand gripping test, interior and exterior door handle operation test, electronic parking brake operation test, D and R gear operation test, accelerator pedal operation test, simultaneous operation of accelerator and brake pedals test, and voice control operation test when the vehicle is stationary. Tests included: electronic parking brake activation while the vehicle was in motion, P, R, and N gear operation, brake and accelerator pedal operation, door switch operation, mechanical door emergency switch operation, and starter switch operation. Electronic parking brake activation test and D / R / N gear operation test when the vehicle is charging; electronic parking brake activation test and D / R / N gear operation test when the vehicle is discharging.

9. A new energy vehicle driving safety assessment system, the system being used to implement the method described in any one of claims 1-8, characterized in that, include: The whole vehicle risk point triggering basic data acquisition module is used to generate a unified format whole vehicle risk point triggering basic dataset from the collected heterogeneous data; The vehicle status real-time monitoring module can perceive the vehicle's operating status in real time. The whole vehicle risk point trigger action data acquisition module records the complete feedback process of the vehicle to risky operations and extracts key action features for safety assessment. The test execution control module automatically executes all sub-tests under four core vehicle states; The security evaluation module, based on the massive amounts of collected data, constructs a weighted security evaluation model, performs the final security assessment calculation, and outputs a quantitative score and security level.

10. A computer storage medium storing a computer program executable on a processor, characterized in that, When the processor executes the computer program, it implements a method for assessing the driving safety of a new energy vehicle as described in any one of claims 1-9.

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