Vehicle drift performance evaluation method, device, equipment and readable storage medium

Abstract

This invention provides a method, apparatus, device, and readable storage medium for evaluating vehicle drift performance. The method includes: calculating various evaluation index parameters based on operational data of the vehicle during drift mode; detecting whether each evaluation index parameter is within its corresponding preset range, obtaining multiple detection results; determining the score corresponding to each evaluation index parameter based on each detection result; and calculating the vehicle drift performance evaluation result based on the scores and the weights corresponding to each evaluation index parameter. Through this invention, the vehicle drift performance evaluation result allows for an objective determination of whether the vehicle data during drifting meets the corresponding evaluation requirements. Furthermore, based on the scores corresponding to each evaluation index parameter, the reasons for drift failure or poor drift performance can be objectively determined, solving the problem in existing technologies where it is impossible to objectively evaluate the various performance aspects of a vehicle during drift mode.

Description

Technical Field

[0001] This invention relates to the field of vehicle testing technology, and in particular to a method, apparatus, device, and readable storage medium for evaluating vehicle drift performance. Background Technology

[0002] Vehicle drift performance is an important manifestation of vehicle handling performance, and the evaluation results of vehicle drift performance can reflect the state of the vehicle under extreme operating conditions.

[0003] However, existing technologies cannot objectify drift mode and rely solely on the driver's subjective feelings as input to evaluate the vehicle's various performance characteristics when it is in drift mode. There is no system that can automatically evaluate drift mode, resulting in low accuracy of the evaluation results for various performance characteristics when the vehicle is in drift mode. Summary of the Invention

[0004] The main objective of this invention is to provide a method, apparatus, device, and readable storage medium for evaluating vehicle drift performance, aiming to solve the problem in the prior art that it is impossible to objectively evaluate the various performance characteristics of a vehicle when it is in drift mode.

[0005] In a first aspect, the present invention provides a method for evaluating vehicle drift performance, the method comprising:

[0006] The parameters of each evaluation index are calculated based on the vehicle's operating data during the drift mode.

[0007] Each evaluation index parameter is checked to see if it is within the corresponding preset range, resulting in multiple test results.

[0008] The score corresponding to each evaluation index parameter is determined based on each test result;

[0009] Based on the scores and the weights corresponding to each evaluation index parameter, the vehicle drift performance evaluation results are calculated.

[0010] Optionally, the operating data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration. The step of calculating the various evaluation index parameters based on the operating data during the vehicle's drift mode includes:

[0011] Based on the vehicle's operating data during drift mode, the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration are determined.

[0012] Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode;

[0013] Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode;

[0014] The yaw rate overshoot is calculated based on the maximum yaw rate and the steady-state yaw rate.

[0015] The decrease in lateral acceleration is calculated based on the maximum lateral acceleration and the steady-state lateral acceleration.

[0016] Optionally, the step of calculating the decrease in lateral acceleration based on the maximum lateral acceleration and the steady-state lateral acceleration includes:

[0017] Substituting the maximum lateral acceleration and the steady-state lateral acceleration into the first preset formula, the decrease in lateral acceleration is calculated. The first preset formula is as follows:

[0018]

[0019] τ represents the decrease in lateral acceleration, μ0 represents the steady-state lateral acceleration, and μ max This represents the maximum lateral acceleration.

[0020] Optionally, the step of determining the score corresponding to each evaluation index parameter based on each detection result includes:

[0021] If the test result shows that the evaluation index parameter is within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be the preset score.

[0022] If the test result indicates that the evaluation index parameter is not within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be zero.

[0023] Optionally, the step of calculating the vehicle drift performance evaluation result based on the score and the weights corresponding to each evaluation index parameter includes:

[0024] Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows:

[0025]

[0026] β represents the vehicle drift performance evaluation result, a i a represents the preset score corresponding to the i-th evaluation index parameter. i ′ represents the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters.

[0027] Secondly, the present invention also provides a vehicle drift performance evaluation device, the vehicle drift performance evaluation device comprising:

[0028] The first calculation module is used to calculate various evaluation index parameters based on the vehicle's operating data during the drift mode.

[0029] The detection module is used to detect whether each evaluation index parameter is within the corresponding preset range and obtain multiple detection results.

[0030] The determination module is used to determine the score corresponding to each evaluation index parameter based on each test result;

[0031] The second calculation module is used to calculate the vehicle drift performance evaluation result based on the score and the weights corresponding to each evaluation index parameter.

[0032] Optionally, the operating data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration. The first calculation module is used for:

[0033] Based on the vehicle's operating data during drift mode, the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration are determined.

[0034] Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode;

[0035] Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode;

[0036] The yaw rate overshoot is calculated based on the maximum yaw rate and the steady-state yaw rate.

[0037] The decrease in lateral acceleration is calculated based on the maximum lateral acceleration and the steady-state lateral acceleration.

[0038] Optionally, the second computing module is used for:

[0039] Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows:

[0040]

[0041] β represents the vehicle drift performance evaluation result, a i a represents the preset score corresponding to the i-th evaluation index parameter. i′ represents the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters.

[0042] Thirdly, the present invention also provides a vehicle drift performance evaluation device, the vehicle drift performance evaluation device including a processor, a memory, and a vehicle drift performance evaluation program stored in the memory and executable by the processor, wherein when the vehicle drift performance evaluation program is executed by the processor, the steps of the vehicle drift performance evaluation method as described above are implemented.

[0043] Fourthly, the present invention also provides a readable storage medium storing a vehicle drift performance evaluation program, wherein when the vehicle drift performance evaluation program is executed by a processor, it implements the steps of the vehicle drift performance evaluation method as described above.

[0044] In this invention, various evaluation index parameters are calculated based on the vehicle's operating data during drift mode. Each evaluation index parameter is then checked to see if it falls within its corresponding preset range, resulting in multiple detection results. A score is determined for each evaluation index parameter based on each detection result. Finally, based on the scores and weights corresponding to each evaluation index parameter, the vehicle drift performance evaluation result is calculated. Because the vehicle drift performance evaluation result is calculated based on the scores and weights of each evaluation index parameter, it allows for an objective determination of whether the vehicle data meets the corresponding evaluation requirements during drifting. Furthermore, the scores of each evaluation index parameter provide an objective explanation for drift failures or poor drift performance, thus solving the problem in existing technologies where it is impossible to objectively evaluate the various performance aspects of a vehicle in drift mode. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating an embodiment of the vehicle drift performance evaluation method of the present invention;

[0046] Figure 2 for Figure 1 A detailed flowchart of step S10;

[0047] Figure 3 for Figure 1 A detailed flowchart of step S30;

[0048] Figure 4 This is a schematic diagram of the functional modules of an embodiment of the vehicle drift performance evaluation and pricing device of the present invention;

[0049] Figure 5 This is a schematic diagram of the hardware structure of the vehicle drift performance evaluation device involved in the embodiment of the present invention.

[0050] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0052] In a first aspect, embodiments of the present invention provide a method for evaluating vehicle drift performance.

[0053] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the vehicle drift performance evaluation method of the present invention. Figure 1 As shown, the vehicle drift performance evaluation method includes:

[0054] Step S10: Calculate the parameters of each evaluation index based on the operating data of the vehicle during the drift mode.

[0055] In this embodiment, when the vehicle's maximum lateral acceleration exceeds a preset lateral acceleration value, the vehicle enters drift mode. The automatic drift mode evaluation device and system are activated, and the vehicle's operational data during drift mode is acquired. Based on this operational data, various evaluation index parameters are calculated.

[0056] Furthermore, in one embodiment, the operating data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration, with reference to... Figure 2 , Figure 2 for Figure 1 A detailed flowchart of step S10. (See attached diagram.) Figure 2 As shown, step S10 includes:

[0057] Step S101: Based on the vehicle's operating data during the drift mode, determine the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration.

[0058] Step S102: Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode;

[0059] Step S103: Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode;

[0060] Step S104: Calculate the yaw rate overshoot based on the maximum yaw rate and the steady-state yaw rate;

[0061] Step S105: Calculate the decrease in lateral acceleration based on the maximum lateral acceleration and the steady-state lateral acceleration.

[0062] In this embodiment, the evaluation index parameters include maximum lateral acceleration, absolute value of vehicle speed change difference, absolute value of engine speed difference, yaw rate overshoot, and lateral acceleration reduction. The steady-state vehicle speed is determined from the vehicle speed during drift mode, where a vehicle speed at a certain speed for a duration exceeding a corresponding preset duration is considered the steady-state speed. The steady-state engine speed is determined from the engine speed during drift mode, where an engine speed at a certain speed for a duration exceeding a corresponding preset duration is considered the steady-state speed. The maximum yaw rate and steady-state yaw rate are obtained from the yaw rate during drift mode, where the yaw rate remains constant within a corresponding preset duration. The maximum lateral acceleration and steady-state lateral acceleration are obtained from the lateral acceleration during drift mode, where the lateral acceleration remains constant within a corresponding preset duration is considered the steady-state lateral acceleration.

[0063] Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode, and use the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode as the evaluation index parameter.

[0064] The absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode is calculated, and this absolute value is used as the evaluation index parameter.

[0065] Substituting the maximum yaw rate and the steady-state yaw rate into the formula The yaw rate overshoot σ is calculated, where r0 represents the steady-state yaw rate in degrees per second (°C / s). max Used to express the maximum yaw rate, unit: degrees / s.

[0066] Calculate the difference between the maximum lateral acceleration and the steady-state lateral acceleration. Divide the difference by the maximum lateral acceleration and multiply by 100%. The resulting percentage is the decrease in lateral acceleration.

[0067] Further, in one embodiment, the step of calculating the reduction in lateral acceleration based on the maximum lateral acceleration and the steady-state lateral acceleration includes:

[0068] Substituting the maximum lateral acceleration and the steady-state lateral acceleration into the first preset formula, the decrease in lateral acceleration is calculated. The first preset formula is as follows:

[0069]

[0070] τ represents the decrease in lateral acceleration, μ0 represents the steady-state lateral acceleration, and μ max This represents the maximum lateral acceleration.

[0071] In this embodiment, lateral acceleration is the acceleration perpendicular to the direction of motion. The difference μ between the maximum lateral acceleration and the steady-state lateral acceleration is calculated. max -μ0, using the difference μ max -μ0 divided by the maximum lateral acceleration μ max Multiplying this by 100% gives the percentage τ, which is the decrease in lateral acceleration. Specifically, the decrease in lateral acceleration can be calculated by substituting the maximum lateral acceleration and the steady-state lateral acceleration into the first preset formula, which is as follows:

[0072]

[0073] τ represents the decrease in lateral acceleration, μ0 represents the steady-state lateral acceleration, and μ max This represents the maximum lateral acceleration.

[0074] Step S20: Check whether each evaluation index parameter is within the corresponding preset range to obtain multiple detection results;

[0075] In this embodiment, each evaluation index parameter has its corresponding preset range. Therefore, by detecting whether each evaluation index parameter is within its corresponding preset range, multiple detection results will be obtained. Specifically, when the evaluation index parameter is the maximum lateral acceleration, the corresponding preset range is a range of values ​​greater than or equal to the preset value 'a'. Detecting whether the maximum lateral acceleration is greater than or equal to the preset value 'a' yields one detection result.

[0076] When the evaluation index parameter is the absolute value of the speed difference, the corresponding preset range is a range of values ​​that are greater than or equal to 0 and less than the preset value b. The system detects whether the absolute value of the speed difference is greater than or equal to 0 and less than the preset value b, and obtains a detection result.

[0077] When the evaluation index parameter is the absolute value of the engine speed difference, the corresponding preset range is a range of values ​​that are greater than or equal to the preset value c. The system detects whether the absolute value of the engine speed difference is greater than or equal to the preset value c and obtains a detection result.

[0078] When the evaluation index parameter is the yaw rate overshoot, the corresponding preset range is a range of values ​​greater than or equal to the preset value d. The absolute value of the engine speed difference is detected to be greater than or equal to the preset value d, and a detection result is obtained.

[0079] When the evaluation index parameter is the decrease in lateral acceleration, the corresponding preset range is the numerical range of [e, f]. A detection result is obtained by detecting whether the decrease in lateral acceleration is within the preset range [e, f].

[0080] Step S30: Determine the score corresponding to each evaluation index parameter based on each detection result;

[0081] In this embodiment, the detection result is either the evaluation index parameter being within the corresponding preset range, or the evaluation index parameter not being within the corresponding preset range. When the detection result is that the evaluation index parameter is within the corresponding preset range, a preset score is assigned to that evaluation index parameter; when the detection result is that the evaluation index parameter is not within the corresponding preset range, another preset score is assigned to that evaluation index parameter.

[0082] Furthermore, in one embodiment, reference is made to Figure 3 , Figure 3 for Figure 1 A detailed flowchart of step S30. (See attached diagram.) Figure 3 As shown, step S30 includes:

[0083] Step S301: If the detection result shows that the evaluation index parameter is within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be the preset score.

[0084] Step S302: If the detection result is that the evaluation index parameter is not within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be zero.

[0085] In this embodiment, taking a preset score of 10 points as an example, the score corresponding to the evaluation index parameter whose detection result is within the corresponding preset range is determined to be 10 points, and the score corresponding to the evaluation index parameter whose detection result is not within the corresponding preset range is determined to be 0 points.

[0086] Specifically, if the maximum lateral acceleration is within a range greater than or equal to the preset value a, the score corresponding to the maximum lateral acceleration is 10 points; if the maximum lateral acceleration is within a range less than the preset value a, i.e. not within a range greater than or equal to the preset value a, the score corresponding to the maximum lateral acceleration is 0 points.

[0087] If the absolute value of the speed difference is within the range of 0 or less than the preset value b, the score corresponding to the absolute value of the speed difference is 10 points. If the absolute value of the speed difference is within the range of 0 or less than the preset value b, that is, not within the range of 0 or less than the preset value b, the score corresponding to the absolute value of the speed difference is 0 points.

[0088] If the absolute value of the engine speed difference is within the range of values ​​greater than or equal to the preset value c, the score corresponding to the absolute value of the engine speed difference is 10 points. If the absolute value of the engine speed difference is less than the preset value c, that is, not within the range of values ​​greater than or equal to the preset value c, the score corresponding to the absolute value of the engine speed difference is 0 points.

[0089] If the yaw rate overshoot is within the range of values ​​greater than or equal to the preset value d, the score corresponding to the yaw rate overshoot is 10 points. If the yaw rate overshoot is less than the preset value d, that is, not within the range of values ​​greater than or equal to the preset value d, the score corresponding to the yaw rate overshoot is 0 points.

[0090] If the decrease in lateral acceleration is within the corresponding preset range of [e, f], the score for the decrease in lateral acceleration is 10 points. If the decrease in lateral acceleration is less than e or greater than f, i.e., not within the corresponding preset range of [e, f], the score for the decrease in lateral acceleration is 0 points.

[0091] Step S40: Based on the scores and the weights corresponding to each evaluation index parameter, calculate the vehicle drift performance evaluation result.

[0092] In this embodiment, the vehicle drift performance evaluation result can be calculated based on the scores and weights corresponding to each evaluation index parameter. When all evaluation index parameters meet the standards (i.e., the test results show that all evaluation index parameters are within their respective preset ranges), the vehicle drift performance evaluation result is full marks. When at least one evaluation index parameter fails to meet the standards (i.e., at least one test result shows that the evaluation index parameter is outside its corresponding preset range), the score corresponding to the failed evaluation index parameter is zero, and the vehicle drift performance evaluation result cannot reach full marks. Based on the scores corresponding to the evaluation index parameters, the reasons for drift failure or poor drift performance can be objectively determined. It is easy to imagine that after calculating the vehicle drift performance evaluation result, the obtained vehicle drift performance evaluation result and the scores corresponding to each evaluation index parameter are displayed on the display device.

[0093] Further, in one embodiment, step S40 includes:

[0094] Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows:

[0095]

[0096] β represents the vehicle drift performance evaluation result, a i a represents the preset score corresponding to the i-th evaluation index parameter.i ′ represents the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters.

[0097] In this embodiment, taking the example that all the detection results are within the corresponding preset range of the evaluation index parameters and the preset score is 10 points, the weight values ​​are assigned according to the importance of the factors that need to be controlled to successfully drift during the drift process. Among them, the weight corresponding to the maximum lateral acceleration is 0.2, the weight corresponding to the absolute value of the vehicle speed change difference is 0.1, the weight corresponding to the absolute value of the engine speed is 0.2, the yaw rate overshoot is 0.2, and the weight corresponding to the lateral acceleration reduction is 0.3.

[0098] The vehicle drift performance evaluation result is calculated by substituting the scores and weights of each evaluation indicator parameter into the second preset formula. The sum of the weights of each evaluation indicator parameter equals one. The second preset formula is as follows:

[0099]

[0100] β represents the vehicle drift performance evaluation result, a i a represents the preset score corresponding to the i-th evaluation index parameter. i ' represents the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters. The vehicle drift performance evaluation result β is scored out of 10. β = 10 indicates that the vehicle data meets the corresponding evaluation requirements during drifting, and 6 is the passing score. β = 6 indicates that the vehicle already has a drifting tendency. When β is less than 6, the drift fails.

[0101] In one embodiment, if the absolute value of the engine speed difference is not within the corresponding preset range, the score corresponding to the evaluation index parameter absolute value of the engine speed difference is 0, and the vehicle drift performance evaluation result is calculated as follows: From the scores corresponding to the evaluation index parameters, it can be objectively determined that the poor drift is caused by the engine speed.

[0102] In this embodiment, various evaluation index parameters are calculated based on the vehicle's operating data during drift mode. Each evaluation index parameter is then checked to see if it falls within its corresponding preset range, resulting in multiple detection results. A score is determined for each evaluation index parameter based on each detection result. Finally, the vehicle drift performance evaluation result is calculated based on the scores and weights of each evaluation index parameter. Because the vehicle drift performance evaluation result is calculated based on the scores and weights of each evaluation index parameter, it allows for an objective assessment of whether the vehicle data meets the corresponding evaluation requirements during drifting. Furthermore, the scores of each evaluation index parameter provide an objective explanation for drift failures or poor drift performance, thus solving the problem in existing technologies where it is impossible to objectively evaluate the various performance aspects of a vehicle in drift mode.

[0103] Secondly, embodiments of the present invention also provide a vehicle drift performance evaluation device.

[0104] In one embodiment, Figure 4 This is a functional module diagram of an embodiment of the vehicle drift performance evaluation and pricing device of the present invention. Figure 4 As shown, the vehicle drift performance evaluation device includes:

[0105] The first calculation module 10 is used to: calculate various evaluation index parameters based on the operating data of the vehicle during the drift mode process;

[0106] The detection module 20 is used to detect whether each evaluation index parameter is within the corresponding preset range and obtain multiple detection results.

[0107] The determination module 30 is used to determine the score corresponding to each evaluation index parameter based on each detection result;

[0108] The second calculation module 40 is used to calculate the vehicle drift performance evaluation result based on the score and the weights corresponding to each evaluation index parameter.

[0109] Furthermore, in one embodiment, the operating data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration, and the first calculation module 10 is used for:

[0110] Based on the vehicle's operating data during drift mode, the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration are determined.

[0111] Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode;

[0112] Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode;

[0113] The yaw rate overshoot is calculated based on the maximum yaw rate and the steady-state yaw rate.

[0114] The decrease in lateral acceleration is calculated based on the maximum lateral acceleration and the steady-state lateral acceleration.

[0115] Furthermore, in one embodiment, the first computing module 10 is used for:

[0116] Substituting the maximum lateral acceleration and the steady-state lateral acceleration into the first preset formula, the decrease in lateral acceleration is calculated. The first preset formula is as follows:

[0117]

[0118] τ represents the decrease in lateral acceleration, μ0 represents the steady-state lateral acceleration, and μ max This represents the maximum lateral acceleration.

[0119] Furthermore, in one embodiment, the determining module 30 is configured to:

[0120] If the test result shows that the evaluation index parameter is within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be the preset score.

[0121] If the test result indicates that the evaluation index parameter is not within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be zero.

[0122] Furthermore, in one embodiment, the second computing module 40 is used for:

[0123] Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows:

[0124]

[0125] β represents the vehicle drift performance evaluation result, a i a represents the preset score corresponding to the i-th evaluation index parameter. i ′ represents the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters.

[0126] The functions of each module in the above-mentioned vehicle drift performance evaluation device correspond to the steps in the above-mentioned vehicle drift performance evaluation method embodiment, and their functions and implementation processes will not be described in detail here.

[0127] Thirdly, embodiments of the present invention provide a vehicle drift performance evaluation device.

[0128] Reference Figure 5 , Figure 5 This is a schematic diagram of the hardware structure of the vehicle drift performance evaluation device involved in the embodiment of the present invention. In this embodiment, the vehicle drift performance evaluation device may include a processor 1001 (e.g., a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize communication between these components; the user interface 1003 may include a display screen or an input unit such as a keyboard; the network interface 1004 may optionally include a standard wired interface or a wireless interface (e.g., Wireless Fidelity, Wi-Fi interface); the memory 1005 may be high-speed random access memory (RAM) or stable memory (non-volatile memory), such as a disk storage device; the memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001. Those skilled in the art will understand that… Figure 5 The hardware structure shown does not constitute a limitation of the invention and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0129] Continue to refer to Figure 5 , Figure 5 The memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a vehicle drift performance evaluation program. The processor 1001 can call the vehicle drift performance evaluation program stored in the memory 1005 and execute the vehicle drift performance evaluation method provided in this embodiment of the invention.

[0130] Fourthly, embodiments of the present invention also provide a readable storage medium.

[0131] The present invention provides a vehicle drift performance evaluation program stored on a readable storage medium, wherein when the vehicle drift performance evaluation program is executed by a processor, the steps of the vehicle drift performance evaluation method described above are implemented.

[0132] The method implemented when the vehicle drift performance evaluation procedure is executed can be referred to in various embodiments of the vehicle drift performance evaluation method of the present invention, and will not be repeated here.

[0133] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0134] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0135] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of the present invention.

[0136] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method of evaluating a vehicle drift performance, characterized by, The vehicle drift performance evaluation method includes: The parameters of each evaluation index are calculated based on the vehicle's operating data during the drift mode. Each evaluation index parameter is checked to see if it is within the corresponding preset range, resulting in multiple test results. The score corresponding to each evaluation index parameter is determined based on each test result; Based on the scores and the weights corresponding to each evaluation index parameter, the vehicle drift performance evaluation results are calculated. The operational data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration. The steps for calculating the various evaluation index parameters based on the operational data during the vehicle's drift mode include: Based on the vehicle's operating data during drift mode, the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration are determined. Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode; Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode; The yaw rate overshoot is calculated based on the maximum yaw rate and the steady-state yaw rate. The decrease in lateral acceleration is calculated based on the maximum lateral acceleration and the steady-state lateral acceleration.

2. The vehicle drift performance evaluation method according to claim 1, characterized by, The step of calculating the reduction in lateral acceleration based on the maximum lateral acceleration and the steady-state lateral acceleration includes: Substituting the maximum lateral acceleration and the steady-state lateral acceleration into the first preset formula, the decrease in lateral acceleration is calculated. The first preset formula is as follows: This indicates the decrease in lateral acceleration. Indicates steady-state lateral acceleration. This represents the maximum lateral acceleration.

3. The vehicle drift performance evaluation method according to claim 1, characterized by, The step of determining the score corresponding to each evaluation index parameter based on each detection result includes: If the test result shows that the evaluation index parameter is within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be the preset score. If the test result indicates that the evaluation index parameter is not within the corresponding preset range, then the score corresponding to the evaluation index parameter is determined to be zero.

4. The vehicle drift performance evaluation method according to claim 1, characterized by, The step of calculating the vehicle drift performance evaluation result based on the score and the weights corresponding to each evaluation index parameter includes: Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows: representing the evaluation result of the vehicle drift performance, representing the preset score corresponding to the i-th evaluation index parameter, representing the weight corresponding to the i-th evaluation index parameter, and n represents the total number of evaluation index parameters.

5. A device for evaluating a vehicle drift performance, characterized by comprising: a vehicle drift performance evaluation device according to any one of claims 1 to 4. The vehicle drift performance evaluation device includes: The first calculation module is used to calculate various evaluation index parameters based on the vehicle's operating data during the drift mode. The detection module is used to detect whether each evaluation index parameter is within the corresponding preset range and obtain multiple detection results. The determination module is used to determine the score corresponding to each evaluation index parameter based on each test result; The second calculation module is used to calculate the vehicle drift performance evaluation result based on the score and the weights corresponding to each evaluation index parameter. The operational data includes vehicle speed, lateral acceleration, engine speed, yaw rate, and lateral acceleration. The first calculation module is used for: Based on the vehicle's operating data during drift mode, the steady-state vehicle speed, steady-state engine speed, maximum yaw rate, steady-state yaw rate, maximum lateral acceleration, and steady-state lateral acceleration are determined. Calculate the absolute value of the speed difference between the steady-state vehicle speed and the initial vehicle speed when the vehicle enters drift mode; Calculate the absolute value of the engine speed difference between the steady-state engine speed and the initial engine speed when the vehicle enters drift mode; The yaw rate overshoot is calculated based on the maximum yaw rate and the steady-state yaw rate. The decrease in lateral acceleration is calculated based on the maximum lateral acceleration and the steady-state lateral acceleration.

6. The vehicle drift performance evaluation device according to claim 5, characterized by The second calculation module is used for: Substituting the scores and the weights corresponding to each evaluation index parameter into the second preset formula, the vehicle drift performance evaluation result is calculated, wherein the sum of the weights corresponding to each evaluation index parameter is equal to one. The second preset formula is as follows: represent the evaluation result of the vehicle drift performance, represent the preset score corresponding to the ith evaluation index parameter, represent the weight corresponding to the ith evaluation index parameter, and n represents the total number of evaluation index parameters.

7. A vehicle drift performance evaluation device characterized by comprising: The vehicle drift performance evaluation device includes a processor, a memory, and a vehicle drift performance evaluation program stored in the memory and executable by the processor, wherein when the vehicle drift performance evaluation program is executed by the processor, it implements the steps of the vehicle drift performance evaluation method as described in any one of claims 1 to 4.

8. A readable storage medium, characterized by, The readable storage medium stores a vehicle drift performance evaluation program, wherein when the vehicle drift performance evaluation program is executed by a processor, it implements the steps of the vehicle drift performance evaluation method as described in any one of claims 1 to 4.

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