Driving performance evaluation method, system, readable storage medium and computer device

Abstract

The present invention provides a driving performance evaluation method, system, readable storage medium and computer equipment, the method comprising: obtaining internal parameters of a vehicle to be tested, the internal parameters at least including seat parameters and pedal parameters; inputting the seat parameters and pedal parameters into a driving model to obtain driving data of the vehicle to be tested; obtaining subjective driving performance experience data of a standard vehicle under various working conditions according to the driving data, and generating objective driving performance evaluation indicators according to the subjective driving performance experience data; constructing an evaluation model according to the objective driving performance evaluation indicators and the subjective driving performance experience data; obtaining simulated driving parameters of the vehicle to be tested, and importing the simulated driving parameters into the evaluation model, so that the evaluation model calculates a driving performance evaluation report of the vehicle to be tested. The present invention avoids the problems of low repeatability, strong dependence on the personal feelings of the driving evaluators, and the results being affected by professional driving evaluators when evaluating only through subjective driving performance experience data through the evaluation model.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a drivability evaluation method, system, readable storage medium and computer equipment. Background Art

[0002] With the rapid development of the automobile industry and the improvement of people's living standards, cars have become one of the essential means of travel for people. More and more people are beginning to pay attention to the driving experience of vehicles, and major car manufacturers are also paying more attention to the driving performance of vehicles. Therefore, the research on driving evaluation can effectively improve consumers' driving experience and is also in line with the development direction of the automobile industry.

[0003] Driving experience is generally used to evaluate the subjective driving feeling of the driver during driving. At present, in the existing technology, the current driving performance development in the industry is still mainly based on subjective evaluation, and the subjective evaluation suggestions of professional driving reviewers and specific target customers are used to guide driving performance development. This performance development method is affected by the subjective perception and driving evaluation technology of professional driving reviewers and specific target customers. Usually different drivers will have different driving experiences, and slight performance defects of the vehicle are sometimes difficult to perceive. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide a drivability evaluation method, system, readable storage medium and computer device to at least solve the deficiencies in the above-mentioned technology.

[0005] The present invention provides a drivability evaluation method, comprising:

[0006] Acquiring internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters;

[0007] Inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested;

[0008] Obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data;

[0009] constructing an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data;

[0010] The simulated driving parameters of the vehicle to be tested are obtained, and the simulated driving parameters are introduced into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

[0011] Furthermore, before the step of inputting the seat parameters and the pedal parameters into a preset driving model to obtain the driving data of the vehicle to be tested, the method further includes:

[0012] Acquiring layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data, and forward field of view data;

[0013] Using a preset human body model, a simulated driving test is performed according to each of the instrument panel position data, each of the pedal position data, and each of the front visual field data, so as to obtain a plurality of driving posture data;

[0014] The corresponding driving model is constructed using the driving posture data and preset compensation parameters.

[0015] Furthermore, before the step of obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, the method further includes:

[0016] Collecting data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the collected data with the electronic module signal of the standard vehicle to obtain driving performance data;

[0017] Obtaining conventional vehicle parameters and powertrain component parameters of the standard vehicle, and completing information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters;

[0018] The trigger conditions and test parameters of each working condition are created in the measurement and control software, and the standard vehicle is connected to each virtual channel of the measurement and control software through multiple sensors of the standard vehicle.

[0019] Furthermore, the step of obtaining the simulated driving parameters of the vehicle to be tested includes:

[0020] Performing a simulated driving test on the vehicle to be tested according to the driving data to obtain driving test data of the vehicle to be tested;

[0021] The vehicle data of the vehicle to be tested when the working condition is triggered during the simulated driving test is obtained, and the corresponding simulated driving parameters are generated by combining the vehicle data, the driving test data and the test parameters corresponding to the triggered working condition.

[0022] Furthermore, the multiple operating conditions include a starting condition, a power downshift condition, a coasting or braking downshift condition, a deceleration condition, an acceleration condition, and an in-situ shift condition.

[0023] The present invention also provides a drivability evaluation system, comprising:

[0024] A first acquisition module, used to acquire internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters;

[0025] A calculation module, used for inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested;

[0026] A generating module, used for obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data;

[0027] A first construction module, configured to construct an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data;

[0028] The processing module is used to obtain the simulated driving parameters of the vehicle to be tested, and import the simulated driving parameters into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

[0029] Furthermore, the system also includes:

[0030] The second acquisition module is used to acquire layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data and forward field of view data.

[0031] A simulation test module, used to perform a simulated driving test using a preset human body model according to each of the instrument panel position data, each of the pedal position data, and each of the front visual field data, so as to obtain a plurality of driving posture data;

[0032] The second construction module is used to construct a corresponding driving model using each of the driving posture data and preset compensation parameters.

[0033] Furthermore, the system also includes:

[0034] An acquisition module, used for acquiring data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the acquired data with the electronic module signal of the standard vehicle to obtain driving performance data;

[0035] A matching module, used for acquiring conventional vehicle parameters and powertrain component parameters of the standard vehicle, and completing information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters;

[0036] A creation module is used to create trigger conditions and test parameters of each working condition in the measurement and control software, and complete the connection of each virtual channel between the standard vehicle and the measurement and control software through multiple sensors of the standard vehicle.

[0037] Furthermore, the processing module includes:

[0038] A simulation unit, used for performing a simulated driving test on the vehicle to be tested according to the driving data to obtain driving test data of the vehicle to be tested;

[0039] The processing unit is used to obtain vehicle data of the vehicle to be tested when the working condition is triggered during the simulated driving test, and generate corresponding simulated driving parameters in combination with the vehicle data, the driving test data and the test parameters corresponding to the triggered working condition.

[0040] The present invention also provides a readable storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned drivability evaluation method is implemented.

[0041] The present invention also proposes a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned drivability evaluation method when executing the computer program.

[0042] The drivability evaluation method, system, readable storage medium and computer device of the present invention obtain the corresponding driving data by acquiring the internal parameters of the vehicle to be tested, and obtain the subjective drivability experience data of the standard vehicle under various working conditions with the driving data, and generate objective drivability evaluation indicators using the subjective drivability experience data, and construct an evaluation model by combining the subjective drivability experience data and the objective drivability evaluation indicators, and then calculate the drivability evaluation report based on the simulated driving parameters of the vehicle to be tested through the evaluation model. The evaluation model avoids the problems of low repeatability of evaluation based only on subjective driving experience data, strong dependence on the personal feelings of driving evaluators, and driving evaluation results being affected by the subjective perception and driving evaluation technology of professional driving evaluators and specific target customers, thereby more accurately optimizing the driving performance of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a drivability evaluation method in a first embodiment of the present invention;

[0044] Figure 2 for Figure 1 Detailed flow chart of step S105;

[0045] Figure 3 is a flow chart of a drivability evaluation method in a second embodiment of the present invention;

[0046] Figure 4 is a time distribution diagram of upshifting under a gear shifting condition in the second embodiment of the present invention;

[0047] Figure 5 This is a distribution diagram of deceleration response time under deceleration conditions in the second embodiment of the present invention;

[0048] Figure 6 is a structural block diagram of a drivability evaluation system in a third embodiment of the present invention;

[0049] Figure 7 It is a structural block diagram of a computer device in a fourth embodiment of the present invention.

[0050] Description of main component symbols:

[0051] Memory 10 Computing Module 12 processor 20 Generate Module 13 Computer Programs 30 First building block 14 First acquisition module 11 Processing Module 15

[0052] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0053] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0054] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0056] Embodiment 1

[0057] See also Figure 1 , which shows a drivability evaluation method in a first embodiment of the present invention, and the method specifically includes steps S101 to S105:

[0058] S101, obtaining internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters;

[0059] In a specific implementation, the internal parameters of the vehicle to be tested are obtained by reading the on-board terminal of the vehicle to be tested, and the internal parameters include seat parameters and pedal parameters. The internal parameters can be input by the manufacturer into the storage of the on-board terminal of the vehicle to be tested, or can be obtained from the factory parameters directly provided by the manufacturer. The seat parameters include the angle of the seat and the position of the seat. The pedal parameters include the pedal position and the pedal force. The pedal varies with the configuration of the vehicle. The pedal generally includes an accelerator pedal and a brake pedal. In other embodiments, the pedal can also be a clutch pedal and / or a shift pedal.

[0060] S102, inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested;

[0061] In a specific implementation, the above-mentioned seat angle, seat position, pedal position and pedal force are input into a preset driving model to obtain driving data of the vehicle to be tested; it can be understood that the driving model contains driving data corresponding to the internal parameters of various types of vehicles. In this embodiment, the driving data is driving posture data. The driving data stored in the driving model is driving posture data of several driving evaluators driving various types of vehicles. The various types of vehicles also contain multiple internal parameters. Of course, in other embodiments, the driving data can also be other data sets with evaluation characteristics.

[0062] S103, obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data;

[0063] In specific implementation, the driving evaluator conducts driving tests on the standard vehicle under various working conditions based on the above driving data, obtains subjective driving experience data based on the driving evaluator's subjective driving experience and subjective evaluation feelings, and generates corresponding objective driving evaluation indicators by combining the subjective driving experience data with the data from various sensors installed on the standard vehicle, such as response delay, gear shifting frustration, etc.

[0064] It should be noted that in the present application, the various operating conditions include starting conditions, power downshift conditions, coasting or braking downshift conditions, deceleration conditions, acceleration conditions, and in-situ shifting conditions; the driving evaluator conducts a driving test on a standard vehicle according to the above driving posture data;

[0065] For example, in this embodiment, after the standard vehicle is stopped, the gear position is set to D gear, the brake pedal is pressed for 2 seconds, and then the brake pedal is released. The accelerator pedal is moved to a specified opening at a certain rate until the gear upshift is completed. The driving evaluator records his own driving experience and evaluation data under the starting condition of the standard vehicle, and then repeats different throttle openings to complete the starting data collection of D gear, RD gear, ND gear, D gear + engine start and stop, R gear and other conditions.

[0066] S104, constructing an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data;

[0067] In a specific implementation, a corresponding evaluation model is generated through a preset program according to each of the objective driving performance evaluation indicators and each of the subjective driving performance experience data;

[0068] It should be noted that, in the data processing of each of the objective driving evaluation indicators and each of the subjective driving experience data, a three-dimensional coordinate system can be established. For example, for the starting condition, the X-axis can be selected as the throttle opening, the Y-axis can be selected as the objective driving evaluation indicator, and the Z-axis can be selected as the subjective driving experience data, and then the corresponding evaluation model can be generated from the constructed multiple three-dimensional coordinate systems.

[0069] S105, obtaining simulated driving parameters of the vehicle to be tested, and importing the simulated driving parameters into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

[0070] For further information, see Figure 2 , step S105 further specifically includes steps S1051 to S1052:

[0071] S1051, performing a simulated driving test on the vehicle to be tested according to the driving data to obtain driving test data of the vehicle to be tested;

[0072] S1052, obtaining vehicle data of the vehicle to be tested when the working condition is triggered during the simulated driving test, and generating corresponding simulated driving parameters by combining the vehicle data, the driving test data and the test parameters corresponding to the triggered working condition.

[0073] In a specific implementation, the body parameters of the vehicle to be tested are converted into a corresponding vehicle model, and the vehicle model, the driving data and the trigger conditions of each working condition are imported as boundary conditions into a preset simulation database for simulated driving, so as to obtain driving test data of the vehicle to be tested;

[0074] It should be noted that before conducting a simulated driving test on the vehicle to be tested, the trigger conditions of each working condition and the corresponding test parameters are set in the simulation database. When the trigger conditions of the corresponding working condition are triggered during the simulated driving test, the corresponding test parameters will be sent.

[0075] Furthermore, during the simulated driving test, the vehicle to be tested will trigger the trigger conditions of each working condition, and then record the vehicle data of the vehicle to be tested when the working condition is triggered and the test parameters of the working condition, and combine the vehicle data, the driving test data and the corresponding test parameters to obtain the corresponding simulated driving parameters, and import them into the above-mentioned evaluation model in combination with the simulated driving parameters, so that the evaluation model can calculate the drivability evaluation report of the vehicle to be tested.

[0076] In summary, the driving performance evaluation method in this embodiment obtains the corresponding driving data by acquiring the internal parameters of the vehicle to be tested, and obtains the subjective driving experience data of the standard vehicle under various working conditions with the driving data, and uses the subjective driving experience data to generate objective driving performance evaluation indicators, and constructs an evaluation model by combining the subjective driving experience data and the objective driving performance evaluation indicators, and then calculates the driving performance evaluation report through the evaluation model for the simulated driving parameters of the vehicle to be tested. The evaluation model avoids the problems of low repeatability of evaluation based only on subjective driving experience data, strong dependence on the personal feelings of driving evaluators, and driving performance evaluation results being affected by the subjective perception and driving evaluation technology of professional driving evaluators and specific target customers, thereby more accurately optimizing the driving performance of the vehicle.

[0077] Embodiment 2

[0078] See also Figure 3 , which shows a drivability evaluation method in a second embodiment of the present invention, and the method specifically includes steps S201 to S211:

[0079] S201, obtaining internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters;

[0080] In a specific implementation, the internal parameters of the vehicle to be tested are obtained by reading the on-board terminal of the vehicle to be tested, and the internal parameters include seat parameters and pedal parameters. The internal parameters can be input by the manufacturer into the storage of the on-board terminal of the vehicle to be tested, or can be obtained from the factory parameters directly provided by the manufacturer. The seat parameters include the angle of the seat and the position of the seat. The pedal parameters include the pedal position and the pedal force. The pedal varies with the configuration of the vehicle. The pedal generally includes an accelerator pedal and a brake pedal. In other embodiments, the pedal can also be a clutch pedal and / or a shift pedal.

[0081] S202, acquiring layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data, and forward field of view data;

[0082] S203, using a preset human body model to perform a simulated driving test according to each of the instrument panel position data, each of the pedal position data, and each of the front visual field data, to obtain a plurality of driving posture data;

[0083] S204, constructing a corresponding driving model using each of the driving posture data and preset compensation parameters;

[0084] In a specific implementation, the layout information of the vehicle to be tested is obtained by reading the vehicle-mounted terminal of the vehicle to be tested, and the layout information includes instrument panel position data, pedal position data and forward field of view data, wherein the internal parameters can be input by the manufacturer into the storage of the vehicle-mounted terminal of the vehicle to be tested, or can be obtained from the factory parameters directly provided by the manufacturer.

[0085] A human body model is used to perform simulated driving tests according to the instrument panel position data, the pedal position data and the front visual field data to obtain a plurality of driving posture data.

[0086] It should be noted that the digital human model constructed using the physical data of each car reviewer, since the human body size distribution approximately conforms to the normal distribution and each person's physical data is different, for example: the height range of women is usually between 150 and 165 cm, and the height range of men is usually between 165 and 180 cm. When constructing the driving model, it is necessary to construct compensation parameters based on each person's body data and size distribution, and to construct the driving model through the compensation parameters and driving posture data.

[0087] S205, inputting the seat parameters and the pedal parameters into the driving model to obtain driving data of the vehicle to be tested;

[0088] In a specific implementation, the above-mentioned seat angle, seat position, pedal position and pedal force are input into the above-mentioned driving model to obtain the driving data of the vehicle to be tested; in this embodiment, the driving data is driving posture data, and the driving data stored in the driving model is driving posture data of several driving evaluators driving various types of vehicles, and the various types of vehicles also contain a variety of internal parameters. Of course, in other embodiments, the driving data can also be other data sets with evaluation characteristics.

[0089] S206, collecting data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the collected data with the electronic module signal of the standard vehicle to obtain driving performance data;

[0090] S207, obtaining conventional vehicle parameters and powertrain component parameters of the standard vehicle, and completing information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters;

[0091] S208, creating trigger conditions and test parameters for each of the working conditions in the measurement and control software, and completing the connection between the standard vehicle and each virtual channel of the measurement and control software through multiple sensors of the standard vehicle;

[0092] In the specific implementation, the measurement and control software used in this application is AVL-Drive software. The driving performance data is collected based on AVL-Drive software, AVL-DMU integrated unit and corresponding sensors, and the vehicle PCAN signal is integrated to perform data integration and analysis.

[0093] Use AVL-Drive software to set the conventional vehicle parameters and powertrain component parameters of the test vehicle to complete vehicle information matching; set the trigger conditions for each test condition of AVL-Drive software, and the parameter settings need to be adjusted appropriately according to different test conditions; match the acceleration sensor and the wire-type displacement sensor signals, and complete the settings of each virtual channel of AVL-Drive software in combination with the sensor layout direction and the connection to the AVL-DMU physical channel; set the AVL-Drive software signal matching module, integrate the vehicle PCAN signal, and link the PCAN signal with the AVL-Drive virtual channel, such as engine speed, vehicle speed, throttle opening, gearbox required gear, gearbox actual gear, braking status and other signals; set the throttle mechanical pedal or throttle electronic pedal to accurately control the throttle opening and throttle pedal rate.

[0094] S209, obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data;

[0095] In specific implementation, the following steps are followed to conduct subjective driving tests on standard vehicles under various working conditions based on driving data:

[0096] 1. Starting condition: stop the car, put the gear in D gear, press the brake for 2 seconds, then release the brake, and move the accelerator pedal to a specified opening at a certain rate until the upshift is completed. The AVL-Drive software triggers the Drive Away-StandingStart signal. Repeat different throttle openings to complete the starting data collection of D gear, RD gear, ND gear, D gear + engine start and stop, R gear and other working conditions.

[0097] 2. Power upshift condition: the gear is in D gear, confirm that the vehicle is creeping in 1st gear, and the accelerator pedal is set to a specified opening at a certain rate until the gear is raised to the highest gear (or the maximum allowed speed). The AVL-Drive software triggers the Gear Shift-Power on upshift signal and repeats different throttle openings.

[0098] 3. Power downshift condition: the gear is in D gear, the vehicle is stable in a certain gear, and the accelerator pedal is placed at a specified opening (medium or large throttle opening) at a certain rate until the downshift is completed. The AVL-Drive software triggers the Gear Shift-Poweron downshift signal and repeats different gears and throttle openings.

[0099] 4. In the coasting and braking downshift conditions, the vehicle is stable in the highest gear. Release the accelerator pedal to coast or step on the brake pedal to slow down and downshift until the vehicle speed reaches zero and the gear is reduced to 1st gear. The AVL-Drive software triggers the Gear Shift-Coast / Brakedownshift signal and repeats different pedal braking forces.

[0100] 5. Tip in deceleration and Tip out acceleration conditions: the vehicle starts to coast from 30 kph, decelerates by 20 kph, the accelerator pedal is placed at a specified opening at a certain rate, the vehicle speed increases by 30 kph, the accelerator is quickly released, and this process is repeated until the maximum allowed speed is reached. The AVL-Drive software triggers Tip in-After closed pedal, Tip out at constant speed / acceleration, Gearshift-Kick down / Tip in downshift, Gearshift-Tip outupshift signals, and repeats different accelerator pedal openings.

[0101] 6. Shift gears in place, keep the engine speed stable, release the handbrake, operate the PD gear, AVL-Drive software triggers the Gearshift-Selector lever change signal, the engine is cold / hot, and repeats the shifting of different gears.

[0102] The driving evaluators conduct driving tests on the standard vehicle under various working conditions through the above steps, and record the driving evaluators' subjective driving experience and subjective evaluation feelings to obtain subjective driving experience data. The subjective driving experience data is combined with the data from various sensors installed on the standard vehicle to generate corresponding objective driving evaluation indicators, such as response delay, gear shifting bump, etc.

[0103] S210, constructing an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data;

[0104] In a specific implementation, a corresponding evaluation model is generated through a preset program according to each of the objective driving performance evaluation indicators and each of the subjective driving performance experience data;

[0105] It should be noted that, in the data processing of each of the objective driving evaluation indicators and each of the subjective driving experience data, a three-dimensional coordinate system can be established. For example, for the starting condition, the X-axis can be selected as the throttle opening, the Y-axis can be selected as the objective driving evaluation indicator, and the Z-axis can be selected as the subjective driving experience data, and then the corresponding evaluation model can be generated from the constructed multiple three-dimensional coordinate systems.

[0106] For an example, see Figures 4 to 5 , the three-dimensional coordinate system established for each working condition can be as follows:

[0107] 1. Starting condition: select the data captured by the Drive Away-Standing Start trigger condition. A three-dimensional coordinate system is recommended, with the X-axis representing the throttle opening, the Y-axis representing the evaluation index, and the Z-axis representing the subjective score.

[0108] 2. Gear shifting conditions (including upshifting and downshifting conditions), such as selecting the data captured by the Gear Shift-Power on upshift trigger condition, a three-dimensional coordinate system is recommended, with the X-axis representing the throttle opening, the Y-axis representing the gear position, and the Z-axis representing the evaluation index.

[0109] 3. For the deceleration Tip in condition, select the data captured by the Tip in-After closed pedal trigger condition. A three-dimensional coordinate system is recommended, with the X-axis representing vehicle speed, the Y-axis representing throttle opening, and the Z-axis representing evaluation index.

[0110] 4. Tip out acceleration condition: select Tip out at constant speed / acceleration to trigger the condition to capture data. A three-dimensional coordinate system is recommended, with the X-axis representing vehicle speed, the Y-axis representing throttle opening, and the Z-axis representing evaluation index.

[0111] In other optional embodiments, for detailed data analysis of each working condition, the collected time domain data can be used to establish a two-dimensional coordinate system, where the X-axis is the time axis, and the Y-axis is the PCAN signal and sensor signal, such as engine speed, actual gear position of the transmission, accelerator pedal opening, acceleration signal, etc. The driving performance level of the corresponding working condition can be determined by analyzing the acceleration change value and change rate under each working condition, and the time required to reach a certain acceleration value.

[0112] S211, obtaining simulated driving parameters of the vehicle to be tested, and importing the simulated driving parameters into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

[0113] In a specific implementation, the body parameters of the vehicle to be tested are converted into a corresponding vehicle model, and the vehicle model, the driving data and the trigger conditions of each working condition are imported as boundary conditions into a preset simulation database for simulated driving, so as to obtain driving test data of the vehicle to be tested;

[0114] It should be noted that before conducting a simulated driving test on the vehicle to be tested, the trigger conditions of each working condition and the corresponding test parameters are set in the simulation database. When the trigger conditions of the corresponding working condition are triggered during the simulated driving test, the corresponding test parameters will be sent.

[0115] Furthermore, during the simulated driving test, the vehicle to be tested will trigger the trigger conditions of each working condition, and then record the vehicle data of the vehicle to be tested when the working condition is triggered and the test parameters of the working condition, and combine the vehicle data, the driving test data and the corresponding test parameters to obtain the corresponding simulated driving parameters, and import them into the above-mentioned evaluation model in combination with the simulated driving parameters, so that the evaluation model can calculate the drivability evaluation report of the vehicle to be tested.

[0116] In summary, the driving performance evaluation method in this embodiment obtains the corresponding driving data by acquiring the internal parameters of the vehicle to be tested, and obtains the subjective driving experience data of the standard vehicle under various working conditions with the driving data, and uses the subjective driving experience data to generate objective driving performance evaluation indicators, and constructs an evaluation model by combining the subjective driving experience data and the objective driving performance evaluation indicators, and then calculates the driving performance evaluation report through the evaluation model for the simulated driving parameters of the vehicle to be tested. The evaluation model avoids the problems of low repeatability of evaluation based only on subjective driving experience data, strong dependence on the personal feelings of driving evaluators, and driving performance evaluation results being affected by the subjective perception and driving evaluation technology of professional driving evaluators and specific target customers, thereby more accurately optimizing the driving performance of the vehicle.

[0117] Embodiment 3

[0118] Another aspect of the present invention is to provide a drivability evaluation system. Figure 6 , which is a drivability evaluation system in a third embodiment of the present invention, and the system comprises:

[0119] A first acquisition module 11 is used to acquire internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters;

[0120] A calculation module 12, used for inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested;

[0121] A generating module 13, configured to obtain subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and to generate corresponding objective driving evaluation indicators according to the subjective driving experience data;

[0122] A first construction module 14, configured to construct an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data;

[0123] The processing module 15 is used to obtain the simulated driving parameters of the vehicle to be tested, and import the simulated driving parameters into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

[0124] Furthermore, the processing module 15 includes:

[0125] A simulation unit, used for performing a simulated driving test on the vehicle to be tested according to the driving data to obtain driving test data of the vehicle to be tested;

[0126] The processing unit is used to obtain vehicle data of the vehicle to be tested when the working condition is triggered during the simulated driving test, and generate corresponding simulated driving parameters in combination with the vehicle data, the driving test data and the test parameters corresponding to the triggered working condition.

[0127] In some optional embodiments, the system further comprises:

[0128] The second acquisition module is used to acquire layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data and forward field of view data.

[0129] A simulation test module, used to perform a simulated driving test using a preset human body model according to each of the instrument panel position data, each of the pedal position data, and each of the front visual field data, so as to obtain a plurality of driving posture data;

[0130] The second construction module is used to construct a corresponding driving model using each of the driving posture data and preset compensation parameters.

[0131] In some optional embodiments, the system further comprises:

[0132] An acquisition module, used for acquiring data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the acquired data with the electronic module signal of the standard vehicle to obtain driving performance data;

[0133] A matching module, used for acquiring conventional vehicle parameters and powertrain component parameters of the standard vehicle, and completing information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters;

[0134] A creation module is used to create trigger conditions and test parameters of each working condition in the measurement and control software, and complete the connection of each virtual channel between the standard vehicle and the measurement and control software through multiple sensors of the standard vehicle.

[0135] The functions or operation steps implemented when the above modules and units are executed are generally the same as those in the above method embodiments, and will not be repeated here.

[0136] The driving performance evaluation system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0137] Embodiment 4

[0138] The present invention also provides a computer device, see Figure 7 , shown is a computer device in the fourth embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20, and the processor 20 implements the above-mentioned drivability evaluation method when executing the computer program 30.

[0139] The memory 10 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10 may be an internal storage unit of a computer device, such as a hard disk of the computer device. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Further, the memory 10 may also include both an internal storage unit of a computer device and an external storage device. The memory 10 may be used not only to store application software and various types of data installed in the computer device, but also to temporarily store data that has been output or is to be output.

[0140] Among them, in some embodiments, the processor 20 can be an electronic control unit (Electronic Control Unit, abbreviated as ECU, also known as a vehicle computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 10 or process data, such as executing access restriction programs, etc.

[0141] It should be pointed out that Figure 7 The structure shown does not constitute a limitation on the computer device. In other embodiments, the computer device may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0142] The embodiment of the present invention further provides a readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the drivability evaluation method as described above is implemented.

[0143] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0144] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0145] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0146] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0147] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating drivability, characterized in that: include: Acquiring internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters; Acquiring layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data, and forward field of view data; Using a preset human body model, a simulated driving test is performed according to each of the instrument panel position data, each of the pedal position data, and each of the front field of view data, so as to obtain a plurality of driving posture data; Construct compensation parameters according to each person's body data and size distribution, and construct a corresponding driving model using each driving posture data and the compensation parameters; Inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested; Obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data; constructing an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data; The simulated driving parameters of the vehicle to be tested are obtained, and the simulated driving parameters are introduced into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested.

2. The drivability evaluation method according to claim 1, characterized in that: Before the step of obtaining subjective driving experience data of a standard vehicle under multiple working conditions according to the driving data, the method further includes: Collecting data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the collected data with the electronic module signal of the standard vehicle to obtain driving performance data; Acquire conventional vehicle parameters and powertrain component parameters of the standard vehicle, and complete information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters; The trigger conditions and test parameters of each working condition are created in the measurement and control software, and the virtual channels of the standard vehicle and the measurement and control software are connected through multiple sensors of the standard vehicle.

3. The drivability evaluation method according to claim 1, characterized in that: The step of obtaining the simulated driving parameters of the vehicle to be tested comprises: Performing a simulated driving test on the vehicle to be tested according to the driving data to obtain driving test data of the vehicle to be tested; The vehicle data of the vehicle to be tested when the working condition is triggered during the simulated driving test is obtained, and the corresponding simulated driving parameters are generated by combining the vehicle data, the driving test data and the test parameters corresponding to the triggered working condition.

4. The drivability evaluation method according to claim 1, characterized in that: The various operating conditions include a starting condition, a power downshift condition, a coasting or braking downshift condition, a deceleration condition, an acceleration condition, and an in-situ shift condition.

5. A drivability evaluation system, characterized in that: include: A first acquisition module, used to acquire internal parameters of the vehicle to be tested, wherein the internal parameters at least include seat parameters and pedal parameters; A calculation module, used for inputting the seat parameters and the pedal parameters into a preset driving model to obtain driving data of the vehicle to be tested; A generating module, used for obtaining subjective driving experience data of a standard vehicle under various working conditions according to the driving data, and generating corresponding objective driving evaluation indicators according to the subjective driving experience data; A first construction module, configured to construct an evaluation model according to the objective drivability evaluation index and the subjective drivability experience data; A processing module, used for obtaining simulated driving parameters of the vehicle to be tested, and importing the simulated driving parameters into the evaluation model, so that the evaluation model calculates a drivability evaluation report of the vehicle to be tested; The system further comprises: The second acquisition module is used to acquire layout information of a plurality of standard vehicles, wherein the layout information at least includes instrument panel position data, pedal position data and forward field of view data. A simulation test module, used to perform a simulated driving test using a preset human body model according to each of the instrument panel position data, each of the pedal position data, and each of the front visual field data, so as to obtain a plurality of driving posture data; The second construction module is used to construct compensation parameters according to each person's body data and size distribution, and to construct a corresponding driving model using the driving posture data and preset compensation parameters.

6. The drivability evaluation system according to claim 5, characterized in that: The system further comprises: An acquisition module, used for acquiring data from the standard vehicle based on the measurement and control software and the data sensor on the standard vehicle, and integrating and analyzing the acquired data with the electronic module signal of the standard vehicle to obtain driving performance data; A matching module, used for acquiring conventional vehicle parameters and powertrain component parameters of the standard vehicle, and completing information matching between the standard vehicle and the measurement and control software through the conventional vehicle parameters and the powertrain component parameters; A creation module is used to create trigger conditions and test parameters of each working condition in the measurement and control software, and complete the connection of each virtual channel between the standard vehicle and the measurement and control software through multiple sensors of the standard vehicle.

7. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the drivability evaluation method according to any one of claims 1 to 4 is implemented.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the drivability evaluation method according to any one of claims 1 to 4 is implemented.

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