Evaluation methods, devices, and electronic equipment for driving behavior and vehicle dynamic control functions
By acquiring vehicle status and driver input information, the dynamic control function status is determined, evaluation items and penalty rules are invoked, and the evaluation results are calculated and output. This solves the problem of quantitative evaluation of vehicle dynamic control functions, improves driving safety and product optimization.
Patent Information
- Application Number
- CN202411613922.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2026-05-26
Smart Images
Figure CN122090607A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of vehicle technology, and in particular to methods, devices, electronic equipment, computer storage media, and computer program products for evaluating driving behavior and vehicle dynamic control functions. Background Technology
[0002] With the advancement of technology and the application of advanced sensors, computer algorithms and control systems, vehicles can monitor their driving status in real time and make intelligent adjustments according to different driving environments and conditions. As a result, the configuration of vehicle dynamic control functions is becoming increasingly rich and the types of modes are numerous.
[0003] Currently, however, many vehicle dynamic control functions lack effective quantitative evaluation indicators and feedback mechanisms for their effectiveness, as well as for driver behavior. Effective quantitative evaluation indicators and feedback mechanisms can not only help manufacturers improve product design but also enhance drivers' awareness of their own driving behavior, thereby promoting safer driving. Therefore, how to effectively provide quantitative evaluation indicators and real-time feedback mechanisms for vehicle dynamic control functions is a problem that needs to be solved. Summary of the Invention
[0004] This invention was made to solve the above-mentioned problems. Its purpose is to provide a method, device, electronic device, computer storage medium, and computer program product for evaluating driving behavior and vehicle dynamic control functions. The evaluation method for driving behavior and vehicle dynamic control functions evaluates the performance of vehicle dynamic control functions or driver manual operation and provides feedback to the driver and the OEM, so as to enhance the driver's understanding of his own driving behavior and vehicle dynamic control performance and promote the manufacturer to optimize product performance, thereby promoting safe driving.
[0005] According to one aspect of the present invention, a method for evaluating driving behavior and vehicle dynamic control functions is provided. The method includes the following steps: acquiring vehicle state information, road surface state information, vehicle dynamic control function state information, and driver input information; determining whether the vehicle dynamic control function switch is in an on or off state based on the vehicle dynamic control function state information; if the vehicle dynamic control function switch is in an on state, further determining whether the vehicle dynamic control function is activated; if the vehicle dynamic control function switch is in a off state, further determining whether the triggering conditions of the vehicle dynamic control function are met based on the vehicle state information, road surface state information, and driver input information; if the triggering conditions of the vehicle dynamic control function are met, setting a virtual function activation flag; when the vehicle dynamic control function is activated or the virtual function activation flag is set, invoking multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function; during the period when the vehicle dynamic control function is activated or the virtual function activation flag is set, statistically analyzing the multiple evaluation items based on the vehicle state information and road surface state information; calculating an evaluation result based on the statistical results of the multiple evaluation items and the preset penalty rules; and outputting the evaluation result.
[0006] Preferably, the evaluation method for driving behavior and vehicle dynamic control function further includes: adjusting the penalty rules when the output evaluation result is considered inconsistent with the actual feeling.
[0007] Preferably, the penalty rule includes sub-rules corresponding to each of the evaluation items, and each sub-rule contains a sub-rule variable and at least one preset sub-rule parameter.
[0008] Preferably, the evaluation result is calculated based on the statistical results of multiple evaluation items and the preset penalty rules, including: scoring each evaluation item according to the statistical results of each evaluation item and the sub-rules corresponding to that evaluation item, to obtain the score value of each evaluation item; and combining the scores values of all evaluation items to obtain the evaluation result.
[0009] Preferably, the score for each evaluation item is obtained by substituting the statistical result of each evaluation item as a sub-rule variable into the sub-rule corresponding to that evaluation item.
[0010] Preferably, the vehicle dynamic control function is an intelligent slow-stop function.
[0011] Preferably, when the vehicle dynamic control function is the intelligent slow stop function, the period during which the vehicle dynamic control function is activated or the virtual function activation flag is set is the period from when the intelligent slow stop function is activated or the virtual function activation flag is set to when the vehicle is completely stationary.
[0012] Preferably, the multiple evaluation items include: braking distance deviation, deceleration Jerk count, and maximum deceleration rebound value, wherein the braking distance deviation is the difference between the braking distance calculated based on the actual vehicle speed and the estimated braking distance under no braking modulation.
[0013] Preferably, the maximum deceleration rebound value is a value corrected for slope.
[0014] Preferably, the evaluation results are output in real time through a human-computer interaction interface, which includes a dashboard display, a mobile application, a head-up display, and a speaker.
[0015] According to another aspect of the present invention, an evaluation device for driving behavior and vehicle dynamic control function is provided, characterized in that the method includes: an acquisition module for acquiring vehicle status information, road surface status information, vehicle dynamic control function status information, and driver input information; a first judgment module for determining whether the vehicle dynamic control function switch is in an on or off state based on the vehicle dynamic control function status information; a second judgment module for further determining whether the vehicle dynamic control function is activated if the vehicle dynamic control function switch is in an on state; and a third judgment module for further determining whether the performance is satisfactory if the vehicle dynamic control function switch is in an off state based on the vehicle status information, road surface status information, and driver input information. The system includes a vehicle dynamic control function triggering condition set, a virtual function activation flag set, a calling module that, when the vehicle dynamic control function evaluation function is activated or the virtual function activation flag is set, calls multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function, a statistics module that, during the period when the vehicle dynamic control function is activated or the virtual function activation flag is set, performs statistics on the multiple evaluation items based on vehicle status information and road surface status information, a calculation module that calculates the evaluation result based on the statistical results of the multiple evaluation items and the preset penalty rules, and an output module that outputs the evaluation result.
[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded by the processor and executing the method described in one aspect above.
[0017] According to another aspect of the present invention, a computer storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or the at least one program being loaded by a processor and executing the method as described in one aspect above.
[0018] According to another aspect of the present invention, a computer program product is provided, comprising at least one instruction or at least one program segment, wherein the at least one instruction or the at least one program segment is loaded by a processor and executes the method as described in one aspect above. Attached Figure Description
[0019] Figure 1 This is a flowchart illustrating the evaluation method for driving behavior and vehicle dynamic control functions provided in this embodiment of the invention.
[0020] Figure 2 This is a flowchart illustrating the evaluation method for driving behavior and vehicle dynamic control function when the vehicle dynamic control function is the intelligent slow-stop function, as provided in this embodiment of the invention.
[0021] Figure 3 This is a structural block diagram of the evaluation device for driving behavior and vehicle dynamic control functions provided in an embodiment of the present invention.
[0022] Figure 4 This is a structural block diagram of the electronic device provided in an embodiment of the present invention. Detailed Implementation
[0023] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.
[0024] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and the invention, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.
[0025] This invention provides a method, apparatus, electronic device, computer storage medium, and computer program product for evaluating driving behavior and vehicle dynamic control functions. It evaluates the performance of vehicle dynamic control functions and provides feedback to the driver, thereby enhancing the driver's understanding of their own driving behavior and vehicle dynamic control performance, and promoting safe driving. The method and apparatus are based on the same concept. Since the principles underlying the problems solved by the method and apparatus are similar, their implementations can be mutually referenced, and repeated details will not be elaborated further.
[0026] Figure 1 This is a flowchart illustrating the evaluation method for driving behavior and vehicle dynamic control functions provided in this embodiment of the invention. This specification provides the method operation steps as shown in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operation steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many steps and does not represent the only possible execution order. In actual system or server product execution, the method can be executed sequentially according to the embodiments or drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment).
[0027] S101: Obtain vehicle status information, road condition information, vehicle dynamic control function status information, and driver input information.
[0028] Vehicle status information refers to various status parameters of the vehicle itself, including speed, longitudinal acceleration, lateral acceleration, steering angle, yaw angle, pitch angle, and braking information. This information is obtained through various sensors installed on the wheels, body, and engine, as well as the ECU (Electronic Control Unit). Road surface status information mainly includes road gradient information. Driver input information primarily refers to the driver's operating commands, such as acceleration, braking, and steering, which are typically input and recorded through the vehicle's human-machine interface (such as the steering wheel, pedals, and touchscreen).
[0029] Vehicle dynamic control function status information refers to the various dynamic control functions configured in modern vehicles, including those within anti-lock braking systems (ABS), traction control systems, and vehicle stability control systems. This information includes whether the vehicle dynamic control function is active or deactivated.
[0030] S102: Determine whether the vehicle dynamic control function switch is in the on or off state based on the vehicle dynamic control function status information.
[0031] Whether the vehicle dynamic control function is turned on or off is set in advance by the vehicle user (driver).
[0032] S103: If the vehicle dynamic control function switch is in the open state, then it is further determined whether the vehicle dynamic control function is activated.
[0033] With the vehicle dynamic control function switch on, the evaluation function can determine whether the vehicle dynamic control function needs to be started based solely on whether the vehicle dynamic control function is activated.
[0034] S104: If the vehicle dynamic control function switch is in the off state, then further determine whether the triggering conditions of the vehicle dynamic control function are met based on the vehicle status information, road status information, and driver input information. If the triggering conditions of the vehicle dynamic control function are met, set the virtual function activation flag.
[0035] When the vehicle dynamic control function switch is off, the vehicle dynamic control function will not be activated. However, the evaluation method involved in this invention also evaluates the driver's driving behavior. Therefore, it is necessary to further determine whether the triggering conditions of the vehicle dynamic control function are met based on vehicle status information, road condition information, and driver input information. If the triggering conditions of the vehicle dynamic control function are met, the virtual function activation flag is set. The triggering conditions of the vehicle dynamic control function here are the actual triggering conditions of the vehicle dynamic control function, which vary depending on each vehicle dynamic control function. In addition, the virtual function activation flag here does not actually activate the vehicle dynamic control function; it is merely an identifier used to initiate the evaluation function in the next step.
[0036] S105: When the vehicle dynamic control function is activated or the virtual function activation flag is set, call up multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function.
[0037] The preset evaluation items and preset penalty rules are set according to each vehicle dynamic control function, and they are different for each vehicle dynamic control function.
[0038] S106: During the period when the vehicle dynamic control function is activated or virtually activated, statistics are performed on multiple evaluation items based on vehicle status information and road surface status information.
[0039] During the period when the vehicle dynamic control function is activated or the virtual function activation flag is set, the extracted evaluation items are statistically analyzed.
[0040] S107: The evaluation result is calculated based on the statistical results of multiple evaluation items and the preset penalty rules.
[0041] The penalty rules may include sub-rules corresponding to each evaluation item. Each sub-rule may be, for example, a scoring model, containing a sub-rule variable and at least one preset sub-rule parameter.
[0042] The calculation process for the evaluation results can be as follows: Each evaluation item is scored based on its statistical results and the corresponding sub-rules. Specifically, the statistical results of each evaluation item are substituted into the sub-rules corresponding to that item to obtain its score. This results in the score for each evaluation item. The evaluation results are then combined with the scores of all evaluation items. This combination can be a simple addition or by adding or subtracting a fixed value from the score.
[0043] S108: Output the evaluation results.
[0044] Real-time evaluation results can be provided through a human-computer interaction interface, which includes a dashboard display, mobile application, head-up display, and speakers. Furthermore, the results can be displayed in multiple dimensions.
[0045] In some embodiments, the method may further include the step of adjusting the penalty rules when the output evaluation result is deemed inconsistent with the actual feeling. This can be used by testers when adjusting penalty rules, or it can be used by users.
[0046] Figure 2 This is a flowchart illustrating the evaluation method for driving behavior and vehicle dynamic control function when the vehicle dynamic control function is the intelligent slow-stop function, as provided in this embodiment of the invention.
[0047] S201: Obtain vehicle status information, road condition information, vehicle dynamic control function status information, and driver input information.
[0048] Vehicle status information, road condition information, vehicle dynamic control function status information, and driver input information are the information mentioned above and will not be repeated here.
[0049] S202: Determine whether the intelligent easing function switch is in the on or off state based on the intelligent easing function status information.
[0050] Whether the intelligent stop function is turned on or off is set in advance by the vehicle user (driver).
[0051] S203: If the intelligent easing function switch is in the on state, then further determine whether the intelligent easing function is activated.
[0052] With the intelligent stop function switch on, the intelligent stop function will be activated if the trigger conditions are met. Once activated, the evaluation function for the intelligent stop function needs to be started to assess and provide feedback. The trigger conditions for the intelligent stop function are specific to the function and will not be detailed here.
[0053] S204: If the intelligent easing function switch is in the off state, further determine whether the triggering conditions of the intelligent easing function are met based on vehicle status information, road condition information, and driver input information. If the triggering conditions of the intelligent easing function are met, set the virtual function activation flag.
[0054] When the intelligent stop-and-go function switch is off, the intelligent stop-and-go function will not be activated. However, the evaluation method involved in this invention also evaluates the driver's driving behavior. Therefore, it is necessary to further determine whether the triggering conditions for the intelligent stop-and-go function are met based on vehicle status information, road condition information, and driver input information. If the triggering conditions for the intelligent stop-and-go function are met, the virtual function activation flag is set. The triggering conditions for the intelligent stop-and-go function here are the conditions set for the intelligent stop-and-go function as described above, and are not directly related to the evaluation method of this invention. The evaluation method of this invention only utilizes these triggering conditions. In addition, setting the virtual function activation flag here does not actually activate the intelligent stop-and-go function; it is merely an indicator used to start the evaluation function in the next step.
[0055] S205: During the period when the intelligent easing function is activated or the virtual function activation flag is set, call up multiple preset evaluation items and preset penalty rules for evaluating the intelligent easing function.
[0056] The preset evaluation items and penalty rules are set according to the intelligent braking function. The evaluation items in this embodiment include: braking distance deviation, deceleration Jerk count, and maximum deceleration rebound value. The braking distance deviation is the difference between the actual braking distance calculated based on the actual vehicle speed and the estimated braking distance under no-braking modulation. The deceleration Jerk count refers to the number of fluctuations in the rate of change of deceleration during braking deceleration. The maximum deceleration rebound value is the maximum value at the end of the braking deceleration process when the deceleration signal changes from negative to positive due to rapid recovery caused by load transfer. The braking distance deviation can be obtained by subtracting the estimated braking distance from the actual braking distance, or by dividing the actual braking distance by the estimated braking distance. The maximum deceleration rebound value is the value after slope correction. Furthermore, the preset evaluation items for the intelligent braking function are not limited to these and can be set according to requirements.
[0057] S206: During the period from when the intelligent slow stop function is activated or the virtual function activation flag is set until the vehicle is completely stationary, multiple evaluation items are statistically analyzed based on vehicle status information and road surface status information.
[0058] Once the intelligent slow-stop function is activated or the virtual function activation flag is set, the extracted evaluation items are statistically analyzed until the vehicle comes to a complete stop.
[0059] S207: The evaluation result is calculated based on the statistical results of multiple evaluation items and the preset penalty rules.
[0060] The penalty rules can include sub-rules corresponding to each evaluation item, namely, sub-rules corresponding to braking distance deviation, deceleration Jerk count, and maximum deceleration rebound value, respectively. Each sub-rule can be, for example, a scoring model, containing a sub-rule variable and at least one preset sub-rule parameter.
[0061] The evaluation result can be calculated by scoring each evaluation item based on the statistical results of each evaluation item and the sub-rules corresponding to that evaluation item. Specifically, the statistical results of each evaluation item are substituted into the sub-rules corresponding to that evaluation item as sub-rule variables to obtain the score value of that evaluation item, thereby obtaining the score value of each evaluation item. Then, the evaluation result is obtained by combining the scores of all evaluation items.
[0062] For example, a subrule can be presented in the form S1 = ax1, where S1 represents the score, a represents a preset subrule parameter, and x1 represents the subrule variable. When calculating the score of the evaluation item corresponding to this subrule, the statistical result of the evaluation item is used as the subrule variable x1 and substituted into the above subrule S1 = ax1 to obtain the score S1. A subrule can also be presented in the form S2 = b(x2 - c), where b and c are preset subrule parameters. Of course, the form of the subrule is not limited to these and can be set as needed.
[0063] In addition, the evaluation result can be a simple sum of the scores of all evaluation items, or it can be added to or subtracted from the scores of all evaluation items from a certain base number (e.g., 100), which can be set as needed.
[0064] S208: Output the evaluation results.
[0065] Real-time evaluation results can be provided through a human-computer interaction interface, which includes a dashboard display, mobile application, head-up display, and speakers. Furthermore, the results can be displayed in multiple dimensions.
[0066] S209: When the output evaluation result is deemed inconsistent with the actual feeling, the penalty rule shall be adjusted.
[0067] When the output evaluation results are deemed inconsistent with actual feelings, the penalty rules can be adjusted. Specifically, this can involve adjusting various parameters within sub-rules, or even modifying the scoring model of the sub-rules. This can be used by testers when adjusting penalty rules, or by users themselves.
[0068] After adjusting the penalty rules, step S209 jumps to step S207. That is, the evaluation result is recalculated according to the adjusted penalty rules, and step S208 is executed again to output the evaluation result, until the output evaluation result is considered to match the actual feeling. In addition, after each adjustment of the penalty rules, the preset penalty rules need to be updated to the adjusted penalty rules, thereby optimizing the penalty rules.
[0069] Figure 3 This is a structural block diagram of the evaluation device for driving behavior and vehicle dynamic control functions provided in an embodiment of the present invention. Figure 3 As shown, the evaluation device 200 for driving behavior and vehicle dynamic control functions includes: an acquisition module 201, a first judgment module 202, a second judgment module 203, a third judgment module 204, a calling module 205, a statistics module 206, a calculation module 207, and an output module 208.
[0070] The acquisition module 201 is used to acquire vehicle status information, road surface status information, vehicle dynamic control function status information, and driver input information. The first judgment module 202 determines whether the vehicle dynamic control function switch is in an on or off state based on the vehicle dynamic control function status information. The second judgment module 203, if the vehicle dynamic control function switch is in an on state, further determines whether the vehicle dynamic control function is activated. The third judgment module 204, if the vehicle dynamic control function switch is in a off state, further determines whether the triggering conditions for the vehicle dynamic control function are met based on the vehicle status information, road surface status information, and driver input information. If the triggering conditions are met, the virtual function activation flag is set. The invocation module 205, when the vehicle dynamic control function evaluation function is activated or the virtual function activation flag is set, invokes multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function. The statistics module 206, during the period when the vehicle dynamic control function is activated or the virtual function activation flag is set, performs statistics on the multiple evaluation items based on the vehicle status information and road surface status information. In calculation module 207, the evaluation result is calculated based on the statistical results of multiple evaluation items and the preset penalty rules. In output module 208, the evaluation result is output.
[0071] The specific implementation methods of the above modules are consistent with the specific implementation methods of each step in the embodiment of the evaluation method for driving behavior and vehicle dynamic control functions, and will not be repeated here.
[0072] The evaluation method and apparatus for driving behavior and vehicle dynamic control functions according to the present invention can collect various vehicle status information, road condition information, etc., to evaluate and provide feedback on the performance of vehicle dynamic control functions, thereby enhancing the driver's understanding of their own driving behavior and vehicle dynamic control performance and helping to improve driving safety. Furthermore, the evaluation results can also be fed back to OEMs or automotive parts suppliers via big data, and the system performance can be continuously optimized through cloud tools.
[0073] Figure 3 This is a structural block diagram of the electronic device provided in an embodiment of the present invention. Figure 3 As shown, the present invention also provides an electronic device 300, which includes a processor and a memory. The memory stores at least one instruction or at least one program, which is loaded by the processor and executes the methods described in the above embodiments.
[0074] The present invention also provides a computer storage medium storing at least one instruction or at least one program, wherein the at least one instruction or at least one program is loaded by a processor and executed by the method described in the above embodiments.
[0075] The present invention also provides a computer program product, comprising at least one instruction or at least one program segment, characterized in that the at least one instruction or the at least one program segment is loaded by a processor and executes the method described in the above embodiments.
[0076] Optionally, in this embodiment, the storage medium may be located at at least one of the multiple network servers in a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0077] Those skilled in the art will recognize that the modules, units, and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can implement the described functions using different methods for each specific application, but such implementations should not be considered beyond the scope of the invention.
[0078] Although the present invention has been described with reference to specific embodiments, those skilled in the art should recognize that the scope of the invention is not limited to the specific combinations of the above-described technical features, but also includes other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the present invention.
Claims
1. A method for evaluating driving behavior and vehicle dynamic control functions, characterized in that, The method includes the following steps: Acquire vehicle status information, road condition information, vehicle dynamic control function status information, and driver input information; Based on the vehicle dynamic control function status information, determine whether the vehicle dynamic control function switch is in the on or off state; If the vehicle dynamic control function switch is in the on state, then it is further determined whether the vehicle dynamic control function is activated; If the vehicle dynamic control function switch is in the off state, then based on the vehicle status information, road status information, and driver input information, it is further determined whether the triggering conditions of the vehicle dynamic control function are met. If the triggering conditions of the vehicle dynamic control function are met, the virtual function activation flag is set. When the vehicle dynamic control function is activated or the virtual function activation flag is set, multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function are invoked. During the period when the vehicle dynamic control function is activated or the virtual function activation flag is set, statistics are performed on multiple evaluation items based on vehicle status information and road surface status information. The evaluation result is calculated based on the statistical results of multiple evaluation items and the preset penalty rules; as well as Output the evaluation results.
2. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 1, characterized in that, Further includes: When the output evaluation result is deemed inconsistent with the actual feeling, the punishment rule is adjusted.
3. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 1 or 2, characterized in that, The penalty rules include sub-rules corresponding to each of the evaluation items. Each of the subrules contains a subrule variable and at least one preset subrule parameter.
4. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 3, characterized in that, The evaluation results, calculated based on the statistical results of multiple evaluation items and the preset penalty rules, include: Based on the statistical results of each evaluation item and the sub-rules corresponding to that evaluation item, each evaluation item is scored to obtain a score value for each evaluation item. The evaluation result is obtained by combining the scores of all the evaluation items.
5. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 4, characterized in that, The score for each evaluation item is obtained by substituting the statistical result of each evaluation item as a sub-rule variable into the sub-rule corresponding to that evaluation item.
6. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 5, characterized in that, The vehicle dynamic control function mentioned is the intelligent slow-stop function.
7. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 6, characterized in that, When the vehicle dynamic control function is the intelligent slow stop function, the period during which the vehicle dynamic control function is activated or the virtual function activation flag is set is the period from when the intelligent slow stop function is activated or the virtual function activation flag is set until the vehicle comes to a complete stop.
8. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 7, characterized in that, Several evaluation items include: braking distance deviation, deceleration Jerk count, and maximum deceleration rebound. Among them, braking distance deviation is the difference between the braking distance calculated based on the actual vehicle speed and the estimated braking distance under no-braking modulation.
9. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 8, characterized in that, The maximum deceleration rebound value is the value after slope correction.
10. The evaluation method for driving behavior and vehicle dynamic control functions as described in claim 1 or 2, characterized in that, In the output of the evaluation results, Real-time evaluation results are provided through a human-computer interaction interface, which includes a dashboard display, mobile application, head-up display, and speakers.
11. An evaluation device for driving behavior and vehicle dynamic control functions, characterized in that, The method includes: The acquisition module acquires vehicle status information, road condition information, vehicle dynamic control function status information, and driver input information. The first judgment module determines whether the vehicle dynamic control function switch is in the on or off state based on the vehicle dynamic control function status information. The second judgment module further determines whether the vehicle dynamic control function is activated if the vehicle dynamic control function switch is in the on state. The third judgment module, if the vehicle dynamic control function switch is in the off state, further judges whether the triggering conditions of the vehicle dynamic control function are met based on the vehicle status information, road status information, and driver input information. If the triggering conditions of the vehicle dynamic control function are met, the virtual function activation flag is set. When the vehicle dynamic control function evaluation function is activated or the virtual function activation flag is set, the calling module calls multiple preset evaluation items and preset penalty rules for evaluating the vehicle dynamic control function. The statistics module performs statistics on multiple evaluation items based on vehicle status information and road surface status information during the period when the vehicle dynamic control function is activated or the virtual function activation flag is set. The calculation module calculates the evaluation result based on the statistical results of multiple evaluation items and the preset penalty rules; and The output module outputs the evaluation results.
12. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded by the processor and executed as described in any one of claims 1 to 10.
13. A computer storage medium, characterized in that, The storage medium stores at least one instruction or at least one program segment, which is loaded by a processor and executed according to any one of claims 1 to 10.
14. A computer program product comprising at least one instruction or at least a program segment, characterized in that, The at least one instruction or the at least one program segment is loaded by the processor and executed as described in any one of claims 1 to 10.