CN115221611B - Whole vehicle matching parameter optimization method and device, medium and electronic equipment - Google Patents
Whole vehicle matching parameter optimization method and device, medium and electronic equipment Download PDFInfo
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Abstract
The invention relates to the field of vehicle development, and discloses a method, a device, a medium and electronic equipment for optimizing matching parameters of a whole vehicle. The method comprises the following steps: respectively establishing a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and carrying out parameter configuration on the whole vehicle dynamics model and each system related model; respectively executing a matching parameter optimization step aiming at each test working condition; determining an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model; and if the vehicle performance index values of the vehicle under all the test working conditions meet the vehicle performance optimal index, the optimization of the adjustable matching parameters is completed. The method not only improves the efficiency and accuracy of the parameter optimization process, but also improves the robustness of the control system, and can realize the performance optimization of the whole vehicle level.
Description
Technical Field
The disclosure relates to the technical field of vehicle development, in particular to a method, a device, a medium and electronic equipment for optimizing matching parameters of a whole vehicle.
Background
In whole vehicle development, each system carries out real vehicle parameter matching based on own development indexes, relatively simple interaction description is formulated for interaction among the systems to meet correct response of interaction signals such as torque, rotation speed, gear and the like, but the concept of matching parameter boundaries of whole vehicle layers is lacking, the consideration of whole vehicle performance optimization is lacking in interaction requirement formulation and parameter matching, the optimization of parameters is guided by a whole vehicle simulation result is lacking, and the parameter matching process is relatively low-efficiency and independent.
Disclosure of Invention
In the technical field of vehicle development, in order to solve the technical problems, the purpose of the disclosure is to provide a method, a device, a medium and electronic equipment for optimizing matching parameters of a whole vehicle.
According to an aspect of the present disclosure, there is provided a method for optimizing matching parameters of a whole vehicle, the method including:
respectively establishing a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and carrying out parameter configuration on the whole vehicle dynamics model and each system related model, wherein the parameters comprise adjustable matching parameters;
and respectively executing a matching parameter optimization step aiming at each test working condition, wherein the matching parameter optimization step comprises the following steps:
configuring test working condition parameters for the basic test working condition model to obtain a test working condition model;
acquiring a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes;
repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result;
determining an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model;
and if the vehicle performance index values of the vehicle under all the test working conditions meet the vehicle performance optimal index, the optimization of the adjustable matching parameters is completed.
According to another aspect of the present disclosure, there is provided a matching parameter optimizing apparatus for a whole vehicle, the apparatus including:
the system comprises a model building module, a model analysis module and a model analysis module, wherein the model building module is configured to respectively build a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and perform parameter configuration on the whole vehicle dynamics model and each system related model, wherein the parameters comprise adjustable matching parameters;
the parameter optimization module is configured to respectively execute a matching parameter optimization step aiming at each test working condition, and the matching parameter optimization step comprises the following steps: configuring test working condition parameters for the basic test working condition model to obtain a test working condition model; acquiring a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes; repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result;
the index determining module is configured to determine an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model;
and the judging module is configured to finish optimizing the adjustable matching parameters if the whole vehicle performance index values of the vehicle under each test working condition meet the whole vehicle performance optimal index.
According to another aspect of the present disclosure, there is provided a computer readable program medium storing computer program instructions which, when executed by a computer, cause the computer to perform the method as described above.
According to another aspect of the present disclosure, there is provided an electronic device including:
a processor;
a memory having stored thereon computer readable instructions which, when executed by the processor, implement a method as described above.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
for the matching parameter optimization method, device, medium and electronic equipment of the whole vehicle, the method comprises the following steps: respectively establishing a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and carrying out parameter configuration on the whole vehicle dynamics model and each system related model, wherein the parameters comprise adjustable matching parameters; and respectively executing a matching parameter optimization step aiming at each test working condition, wherein the matching parameter optimization step comprises the following steps: configuring test working condition parameters for the basic test working condition model to obtain a test working condition model; acquiring a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes; repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result; determining an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model; and if the vehicle performance index values of the vehicle under all the test working conditions meet the vehicle performance optimal index, the optimization of the adjustable matching parameters is completed.
According to the method, the optimization steps of the matching parameters are respectively carried out under different working conditions by setting the optimal indexes of the whole vehicle performance, so that the optimization of the adjustable matching parameters of the vehicle is realized from the optimal angle of the whole vehicle performance, in the optimization process, the adjustable matching parameters are adjusted based on simulation results, namely, the boundary positioning and the parameter optimization are guided by the simulation results, and the optimization is combined with the real vehicle test, so that the efficiency and the accuracy of the parameter optimization process are improved, the robustness of a control system is improved, and the performance optimization of the whole vehicle layer can be realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method of matching parameter optimization for a whole vehicle, according to an exemplary embodiment;
FIG. 2 is a flowchart illustrating matching parameter optimization steps according to an exemplary embodiment;
FIG. 3 is a detailed flow diagram of a method for optimizing matching parameters of a whole vehicle according to an exemplary embodiment;
FIG. 4 is a block diagram illustrating a matching parameter optimization apparatus for a whole vehicle, according to an exemplary embodiment;
FIG. 5 is an exemplary block diagram of an electronic device implementing the above-described method for optimizing matching parameters of a whole vehicle, according to an exemplary embodiment;
fig. 6 is a program product for implementing the above-mentioned matching parameter optimization method of the whole vehicle according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
In the related technology, when the whole vehicle is developed, independent matching needs to be carried out on a braking system, an engine control system, a gearbox control system and the like of the vehicle respectively, the matching of parameters of each system is completed based on a large number of real vehicle calibration tests and offline calibration of partial parameters is carried out by combining partial control models, the normal response of signals is met by making interaction requirements, a series of test working conditions are made for parameter verification by each system, and the acceptance standard focuses on the optimization of the performance of each system. The parameter matching is the process of searching the optimal parameters.
Then, the related art has the following drawbacks: on one hand, the parameter matching process of each system is relatively independent, and the optimization of the whole vehicle performance under certain working conditions is difficult to meet; on the other hand, the parameter matching result lacks the simulation performance of the whole vehicle level, the matching process depends on actual measurement and a large number of tests, and the matching process is relatively low in efficiency.
Therefore, the disclosure provides a method for optimizing matching parameters of a whole vehicle. The method for optimizing the matching parameters of the whole vehicle can overcome the defects, so that the parameter optimization process is more efficient, and the performance optimization of the whole vehicle layer can be realized.
The implementation terminal of the present disclosure may be any device having operation, processing and communication functions, where the device may be connected to an external device, and used for receiving or sending data, and may specifically be a portable mobile device, such as a smart phone, a tablet computer, a notebook computer, PDA (Personal Digital Assistant), or the like, or a fixed device, such as a computer device, a field terminal, a desktop computer, a server, a workstation, or the like, or may be a collection of multiple devices, such as a physical infrastructure of cloud computing or a server cluster.
Alternatively, the implementation terminal of the present disclosure may be a desktop computer or a server.
Fig. 1 is a flowchart illustrating a method for optimizing matching parameters of a whole vehicle according to an exemplary embodiment, where the method for optimizing matching parameters of a whole vehicle may be performed by various devices with computing and processing functions, such as a personal computer, a server, and the like. As shown in fig. 1, the method comprises the following steps:
and 110, respectively establishing a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of the vehicle, and carrying out parameter configuration on the whole vehicle dynamics model and each system related model.
The parameters include adjustable matching parameters.
In one embodiment of the present disclosure, the plurality of system-related models includes an engine torque model, a transmission dynamics model, a transmission shift control logic model, and a brake system control model.
The engine torque model, the transmission dynamics model, the transmission shift control logic model, the brake system control model, the vehicle dynamics model and the basic test condition model can be established by using Simulink.
Specifically, the engine torque model, the transmission dynamics model, the transmission shift control logic model, the brake system control model, and the vehicle dynamics model may include system hardware parameters and/or control parameters, which may be configured in an electronic control unit of the vehicle. The system hardware parameters in the engine torque model may include: engine displacement and cylinder number, engine moment of inertia; the control parameters in the engine torque model may include: engine speed, accelerator pedal opening, desired torque based on accelerator pedal opening, charge coefficient profile, throttle flow characteristics, charge delay profile based on actual measurement, target air-fuel ratio, target firing angle, engine firing efficiency profile, engine thermodynamic efficiency profile, engine accessory operating state and torque loss profile, reserve torque, engine fuel cut speed and fuel cut exit control delay, engine speed PID control gain value, torque demand from transmission control unit and ESP; the system hardware parameters in the transmission dynamics model may include: the transmission gear number and the speed ratio thereof, the hydraulic torque converter K coefficient and torque ratio characteristic pulse spectrum of the AT transmission, the size and friction coefficient of a locking clutch, the clutch size and friction coefficient of the DCT transmission; the control parameters in the transmission dynamics model may include: torque converter turbine speed, torque converter lockup clutch control pressure; the control parameters in the transmission shift control logic model may include: clutch control pressure of the DCT transmission, a transmission control unit requests torque of an engine control unit based on a gear shift line of parameters such as a vehicle speed, an accelerator pedal opening, an engine speed change rate and the like; the system hardware parameters in the whole vehicle dynamics model can comprise: the method comprises the steps of testing the mass, the wheelbase and the centroid height of the whole vehicle, the tire size, the equivalent moment of inertia from an output shaft of a transmission to wheels, the speed ratio of a main speed reducer and the adhesion coefficient between a test pavement and the wheels; the system hardware parameters in the brake system control model may include: brake fluid line size and placement that affect brake master cylinder pressure and wheel cylinder pressure transient characteristics; the control parameters in the brake system control model may include: master cylinder pressure, target wheel slip rate, slip rate PID control parameters, torque demand of the brake control unit to the engine control unit.
The system hardware parameters and the control parameters can be configured according to actual vehicle types.
The adjustable matching parameters may include at least one system hardware parameter and at least one control parameter as described above. Each of the models described above may include adjustable matching parameters. For example, the adjustable matching parameters in the engine torque model may include: target air-fuel ratio, target ignition angle, engine accessory control state, reserve torque, fuel cut-off exit control delay, and engine speed PID control gain value; the adjustable matching parameters in the transmission dynamics model may include: lockup clutch control pressure; the adjustable matching parameters in the transmission shift control logic model may include: clutch control pressure of the DCT transmission, vehicle speed in gear shifting logic, engine speed change rate threshold and the like, and torque demand of the transmission control unit on the engine control unit; the adjustable matching parameters in the whole vehicle dynamics model can comprise: the tire size and the adhesion coefficient of the test pavement and the wheels are tested, wherein the adhesion coefficient of the test pavement and the wheels can be changed through tire pattern selection; the adjustable matching parameters in the brake system control model may include: brake fluid line size and arrangement, wheel target slip rate, slip rate PID control parameters, torque demand of the brake control unit to the engine control unit.
Step 120, a matching parameter optimization step is executed for each test condition.
For each test condition, a corresponding matching parameter optimization step is required to be performed.
FIG. 2 is a flowchart illustrating matching parameter optimization steps according to an exemplary embodiment. As shown in fig. 2, the matching parameter optimization step may specifically include the following steps:
and 210, configuring test condition parameters for the basic test condition model to obtain the test condition model.
The basic test working condition model is a model which is not configured with test working condition parameters; for each test condition, a corresponding test condition parameter needs to be configured, so that different test conditions are realized by adjusting the test condition parameter. The test condition parameters may include, in particular, throttle signals and brake signals.
And 220, acquiring a whole vehicle performance target set for the test working condition model.
The overall vehicle performance target corresponds to a plurality of performance indicators. Each test condition corresponds to a vehicle performance target.
In one embodiment of the present disclosure, performance metrics corresponding to the overall vehicle performance target may include, but are not limited to: the minimum allowable engine speed under the test condition, the braking distance in the test condition, the target gear change in the test condition, and the like.
The overall vehicle performance target may include performance index values corresponding to respective performance indexes.
And 230, repeating the simulation step, the parameter adjustment step and the real vehicle testing step until the test result meets the whole vehicle performance target corresponding to the test condition model.
And if the test result does not meet the whole vehicle performance target corresponding to the test working condition model, sequentially repeating the simulation step, the parameter adjustment step and the real vehicle test step. And when the test result meets the whole vehicle performance target corresponding to the test working condition model, the matching parameter optimization step is finished.
The simulating step may include: and simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result.
The engine torque model, the transmission dynamics model, the transmission gear shifting control logic model and the brake system control model are all simulation models for simulating the vehicle, so that corresponding simulation results can be obtained.
The parameter adjustment step may include: and adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target.
By adjusting the corresponding adjustable matching parameters, the performance of the vehicle can reach or approach to the performance target of the whole vehicle corresponding to the test working condition.
By adjusting the adjustable matching parameters according to the simulation result, the boundary positioning of the parameters can be guided by the simulation result.
The real vehicle testing step may include: and performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result.
The real vehicle test is equivalent to the real vehicle verification process of the adjusted adjustable matching parameters. And under the condition that the test result does not meet the corresponding whole vehicle performance target through the data analysis result, the adjustable matching parameters are required to be adjusted again, and simulation is carried out again based on the model provided with the adjustable matching parameters after the adjustment again. Parameter optimization can be further achieved by adjusting the adjustable matching parameters based on the test results of the real vehicle.
And when the test result meets the whole vehicle performance target corresponding to the test working condition model, the matching parameter optimization step is finished.
And 130, determining the optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model.
The test result according to which the optimal index of the whole vehicle performance is determined may be the last test result. The overall vehicle performance optimal index can be defined by balancing and compromising overall vehicle performance targets corresponding to the test condition models on the basis of test results corresponding to the test condition models.
And 140, if the vehicle performance index values of the vehicle under each test working condition meet the vehicle performance optimal index, the optimization of the adjustable matching parameters is completed.
In one embodiment of the present disclosure, after determining the overall vehicle performance optimal index according to the test result and the overall vehicle performance target corresponding to each test condition model, the overall vehicle matching parameter optimization method further includes:
if the whole vehicle performance index value of the vehicle under any test working condition does not meet the whole vehicle performance optimal index, continuously adjusting the adjustable matching parameters until the whole vehicle performance index value of the vehicle under each test working condition meets the whole vehicle performance optimal index.
Only if the vehicle performance index values of the vehicle under each test working condition meet the optimal index of the vehicle performance, the adjustable matching parameters are proved to reach a reasonable state, otherwise, the adjustable matching parameters need to be continuously adjusted and optimized.
In one embodiment of the present disclosure, after determining the overall vehicle performance optimal index according to the test result and the overall vehicle performance target corresponding to each test condition model, the overall vehicle matching parameter optimization method further includes:
and if the whole vehicle performance index value of the vehicle under the target test working condition does not meet the whole vehicle performance optimal index, adjusting the whole vehicle performance target corresponding to the target test working condition until the whole vehicle performance index value of the vehicle under each test working condition meets the whole vehicle performance optimal index.
When the whole vehicle performance index value of the vehicle under a certain test working condition does not meet the whole vehicle performance optimal index, the whole vehicle performance index value is possibly limited because the whole vehicle performance target corresponding to the test working condition is too limited, and the optimal parameter can be further determined by adjusting the whole vehicle performance target corresponding to the test working condition.
In one embodiment of the present disclosure, the test result includes performance index values corresponding to a plurality of performance indexes, respectively, and if the overall vehicle performance index values of the vehicle under each test condition meet the overall vehicle performance optimal index, the optimization of the adjustable matching parameters is completed, including:
aiming at each test working condition, determining a weighted result of each performance index value in test results of the test working condition based on the weight corresponding to each performance index value, and taking the weighted result as a whole vehicle performance index value;
if the whole vehicle performance index value reaches the whole vehicle performance optimal index, determining that the whole vehicle performance index value of the vehicle under the test working condition meets the whole vehicle performance optimal index.
For example, the overall vehicle performance optimum index is 1, there may be two performance indexes, the first performance index is 1.2 and the second performance index is 0.8, but since the weight of the first performance index is 0.75 and the weight of the second performance index is 0.25, the overall vehicle performance index is 1.2x0.75+0.8x0.25=1.1 > 1, so that the overall vehicle performance can be optimized even if the second performance index does not exceed 1.
According to the scheme in the embodiment of the disclosure, each performance index value is not optimized, but the vehicle is determined to meet the overall vehicle performance optimal index according to the overall vehicle performance optimal index calculated by different weights on the basis that each performance index value reaches the standard, so that the optimized parameters can reach the overall vehicle level optimization.
Fig. 3 is a specific flowchart of a matching parameter optimization method of a whole vehicle according to an exemplary embodiment. The scheme of the embodiment of the present disclosure is further described below with reference to fig. 3: after matching begins, firstly, an engine torque model is established, then a transmission dynamics model and a gear shifting control logic model are established, and then a whole vehicle dynamics model and a brake system control model are established; then, establishing a test working condition model; then, setting the performance index of the whole vehicle, such as the lowest rotation speed and braking distance of the engine; then, adjusting the matching parameters based on the simulation result, and verifying the matching parameters by the real vehicle; then judging whether the test result meets the target or not, if not, adjusting the matching parameters again based on the simulation result and verifying the matching parameters again by the real vehicle, and if so, judging whether all working condition completion matching is met or not; if not, returning to the step of establishing the test working condition model again, continuing to match other test working conditions, and if all the working conditions are matched, defining the optimal index of the whole vehicle performance by combining all the working condition performances; then, judging whether the whole vehicle performance reaches the optimal index or not; if not, resetting the performance index of the whole vehicle, and executing the subsequent steps; if the whole vehicle performance reaches the optimal index, the matching is completed.
The scheme of the embodiment of the disclosure can be applied to parameter matching and optimization of a whole vehicle driving system such as an engine control system and a gearbox control system and a brake system comprising an ABS/ESP control unit under different working conditions.
In summary, according to the method for optimizing the matching parameters of the whole vehicle provided by the embodiment of the disclosure, by establishing a model of an engine, a transmission, the whole vehicle and a brake system by means of a Simulink tool, the model includes hardware parameters and control logic parameters, and after a certain working condition parameter is given, the performance of a driving system and a brake system under the working condition can be simulated. Comparing the simulation result with the set target, and if the simulation result deviates from the set target, adjusting parameters in the model to optimize. In view of the fact that the simulation model cannot fully represent a real vehicle, the parameter matching based on the model needs to be further put on the whole vehicle for verification, and guidance can be provided for parameter adjustment in the model after verification. The method forms an optimization process of cross iteration in a mode of simulating first and then verifying by a real vehicle, finally obtains optimal parameter setting, and can realize more efficient and accurate parameter matching.
The whole vehicle performance optimization realized by the scheme of the embodiment of the disclosure is reflected in that an engine does not flameout, a transmission clutch does not have overheat burnout risk, a braking distance is ensured, the whole vehicle stability in a braking process is ensured, and the like.
The disclosure also provides a device for optimizing the matching parameters of the whole vehicle, and the following is an embodiment of the device of the disclosure.
Fig. 4 is a block diagram illustrating a matching parameter optimizing apparatus of a whole vehicle according to an exemplary embodiment. As shown in fig. 4, the apparatus 400 includes:
a model building module 410 configured to build a whole vehicle dynamics model, a basic test condition model, and a plurality of system related models of a vehicle, respectively, and perform parameter configuration on the whole vehicle dynamics model and each of the system related models, wherein the parameters include adjustable matching parameters;
the parameter optimization module 420 is configured to perform a matching parameter optimization step for each test condition, where the matching parameter optimization step includes: configuring test working condition parameters for the basic test working condition model to obtain a test working condition model; acquiring a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes; repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result;
the index determining module 430 is configured to determine an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test condition model;
and the judging module 440 is configured to complete the optimization of the adjustable matching parameters if the vehicle performance index values of the vehicle under each test condition meet the vehicle performance optimal index.
According to a third aspect of the present disclosure, there is also provided an electronic device capable of implementing the above method.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to such an embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 connecting the various system components, including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 such that the processing unit 510 performs steps according to various exemplary embodiments of the present invention described in the above-mentioned "example methods" section of the present specification.
The storage unit 520 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 521 and/or cache memory 522, and may further include Read Only Memory (ROM) 523.
The storage unit 520 may also include a program/utility 524 having a set (at least one) of program modules 525, such program modules 525 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 530 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 500, and/or any device (e.g., router, modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 550, such as with a display unit 540. Also, electronic device 500 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 560. As shown, network adapter 560 communicates with other modules of electronic device 500 over bus 530. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 500, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
According to a fourth aspect of the present disclosure, there is also provided a computer readable storage medium having stored thereon a program product capable of implementing the method described herein above. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (7)
1. The method for optimizing the matching parameters of the whole vehicle is characterized by comprising the following steps of:
respectively establishing a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and carrying out parameter configuration on the whole vehicle dynamics model and each system related model, wherein the parameters comprise adjustable matching parameters;
and respectively executing a matching parameter optimization step aiming at each test working condition, wherein the matching parameter optimization step comprises the following steps:
configuring test working condition parameters for the basic test working condition model to obtain a test working condition model, wherein the basic test working condition model is a model not provided with the test working condition parameters, and the test working condition parameters comprise an accelerator signal and a brake signal;
the method comprises the steps of obtaining a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes, each test working condition corresponds to one whole vehicle performance target, and the performance indexes corresponding to the whole vehicle performance target comprise: the minimum value of the engine speed allowed under the test working condition, the braking distance in the test working condition and the target gear change in the test working condition;
repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result, wherein the testing result comprises performance index values respectively corresponding to the performance indexes;
determining an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model;
aiming at each test working condition, determining a weighted result of each performance index value in test results of the test working condition based on the weight corresponding to each performance index value, and taking the weighted result as a whole vehicle performance index value;
and if the whole vehicle performance index value reaches the whole vehicle performance optimal index, determining that the whole vehicle performance index value of the vehicle under the test working condition meets the whole vehicle performance optimal index.
2. The method of claim 1, wherein after determining the overall vehicle performance optimal index according to the test result and the overall vehicle performance target corresponding to each test condition model, the method further comprises:
if the vehicle performance index value of the vehicle under any test working condition does not meet the vehicle performance optimal index, continuously adjusting the adjustable matching parameters until the vehicle performance index value of the vehicle under each test working condition meets the vehicle performance optimal index.
3. The method of claim 1, wherein after determining the overall vehicle performance optimal index according to the test result and the overall vehicle performance target corresponding to each test condition model, the method further comprises:
and if the vehicle performance index value of the vehicle under the target test working condition does not meet the vehicle performance optimal index, adjusting the vehicle performance target corresponding to the target test working condition until the vehicle performance index value of the vehicle under each test working condition meets the vehicle performance optimal index.
4. The method of any of claims 1-3, wherein the plurality of system-related models includes an engine torque model, a transmission dynamics model, a transmission shift control logic model, and a brake system control model.
5. The utility model provides a matching parameter optimizing device of whole car, its characterized in that, the device includes:
the system comprises a model building module, a model analysis module and a model analysis module, wherein the model building module is configured to respectively build a whole vehicle dynamics model, a basic test working condition model and a plurality of system related models of a vehicle, and perform parameter configuration on the whole vehicle dynamics model and each system related model, wherein the parameters comprise adjustable matching parameters;
the parameter optimization module is configured to respectively execute a matching parameter optimization step aiming at each test working condition, and the matching parameter optimization step comprises the following steps: configuring test working condition parameters for the basic test working condition model to obtain a test working condition model, wherein the basic test working condition model is a model not provided with the test working condition parameters, and the test working condition parameters comprise an accelerator signal and a brake signal; the method comprises the steps of obtaining a whole vehicle performance target set for the test working condition model, wherein the whole vehicle performance target corresponds to a plurality of performance indexes, each test working condition corresponds to one whole vehicle performance target, and the performance indexes corresponding to the whole vehicle performance target comprise: the minimum value of the engine speed allowed under the test working condition, the braking distance in the test working condition and the target gear change in the test working condition; repeating the simulation step, the parameter adjustment step and the real vehicle test step until the test result meets the whole vehicle performance target corresponding to the test working condition model, and ending the matching parameter optimization step, wherein the simulation step comprises the following steps: simulating based on the whole vehicle dynamics model, the test working condition model and the system related model to obtain a simulation result; the parameter adjustment step comprises the following steps: adjusting the adjustable matching parameters according to the simulation result and the whole vehicle performance target; the real vehicle testing steps comprise: performing real vehicle testing based on the adjusted adjustable matching parameters to obtain a testing result, and adjusting the adjustable matching parameters again according to a data analysis result of the testing result, wherein the testing result comprises performance index values respectively corresponding to the performance indexes;
the index determining module is configured to determine an optimal index of the whole vehicle performance according to the test result and the whole vehicle performance target corresponding to each test working condition model;
the judging module is configured to determine the weighted result of each performance index value in the test results of the test working conditions based on the weight corresponding to each performance index for each test working condition, and the weighted result is used as the performance index value of the whole vehicle; and if the whole vehicle performance index value reaches the whole vehicle performance optimal index, determining that the whole vehicle performance index value of the vehicle under the test working condition meets the whole vehicle performance optimal index.
6. A computer readable program medium, characterized in that it stores computer program instructions, which when executed by a computer, cause the computer to perform the method according to any one of claims 1 to 4.
7. An electronic device, the electronic device comprising:
a processor;
a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method of any of claims 1 to 4.
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