CN115048720A - Method and device for adjusting suspension force of multi-axle vehicle - Google Patents
Method and device for adjusting suspension force of multi-axle vehicle Download PDFInfo
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Abstract
The invention provides a method and a device for adjusting suspension force of a multi-axle vehicle. The method comprises the following steps: determining a corresponding suspension force distribution model according to the number of axles of an axle group of a test vehicle, wherein the suspension force distribution model is used for simulating a balance suspension of the vehicle to adjust the suspension force of the axles; determining a calculation coefficient in the suspension force distribution model according to a simulation test scene; obtaining a second suspension force adjusted by each axle by utilizing the calculation coefficient and a suspension force distribution model according to a first suspension force acquired by each axle in a simulation test scene; and adjusting the balanced suspension state of the test vehicle by using the second suspension force so as to perform simulation test on the test vehicle. The invention can simulate the state of the balance suspension of the vehicle so as to improve the accuracy of the simulation test and further improve the efficiency of the simulation test.
Description
Technical Field
The invention relates to the technical field of vehicle simulation, in particular to a method and a device for adjusting suspension force of a multi-axle vehicle.
Background
Before the vehicle is produced and assembled, the performance of the vehicle is often subjected to simulation test through simulation software, so that the performance index of the vehicle is ensured to meet the factory standard when the vehicle leaves a factory.
When the prior art utilizes simulation software to carry out simulation test on a vehicle, because the balanced suspension state of the vehicle can not be simulated, the vehicle is easy to cause some wheels to be in a suspended state when running on uneven road with fluctuant height, so that the wheels can not play a supporting role, and meanwhile, the wheels in the suspended state reduce the performance of the wheels attached to the bottom surface, so that the problems of inaccurate simulation test result and low vehicle simulation test efficiency are caused.
Disclosure of Invention
In view of this, the invention provides a method and a device for adjusting suspension force of a multi-axle vehicle, which can simulate the balanced suspension state of the vehicle to improve the accuracy of the simulation test and further improve the efficiency of the simulation test.
In order to achieve the purpose, the invention mainly provides the following technical scheme:
in a first aspect, the present invention provides a method of adjusting a suspension force of a multi-axle vehicle, the method comprising:
determining a corresponding suspension force distribution model according to the number of axles of an axle group of a test vehicle, wherein the suspension force distribution model is used for simulating a balance suspension of the vehicle to adjust the suspension force of the axles;
determining a calculation coefficient in the suspension force distribution model according to a simulation test scene;
obtaining a second suspension force adjusted by each axle by utilizing the calculation coefficient and a suspension force distribution model according to a first suspension force acquired by each axle in a simulation test scene;
and adjusting the balanced suspension state of the test vehicle by using the second suspension force so as to perform simulation test on the test vehicle.
In a second aspect, the present invention provides a multi-axle vehicle suspension force calculation apparatus, the apparatus comprising:
the determining module is used for determining a corresponding suspension force distribution model according to the number of axles of the axle group of the test vehicle;
the selection module is used for determining a calculation coefficient in the suspension force distribution model according to a simulation test scene;
the calculation module is used for obtaining a second suspension force adjusted by each axle by utilizing the calculation coefficient and the suspension force distribution model according to the first suspension force acquired by each axle in a simulation test scene;
an adjustment module to adjust a balanced suspension state of the test vehicle using the second suspension force.
By the technical scheme, the invention provides a method and a device for adjusting suspension force of a multi-axle vehicle, which particularly records that the suspension force distribution of axles can be accurately carried out on the vehicles with different axle numbers by testing different axle numbers in an axle group of the vehicle and selecting a corresponding suspension force distribution model, meanwhile, corresponding calculation coefficients are determined according to different simulation test scenes, the accuracy of axle suspension force calculation is further improved, the required suspension force distribution model and the corresponding calculation coefficients are determined, the accurate calculation of the second suspension force of each axle is carried out by collecting the first suspension force of each axle of the current simulation test scene and utilizing the determined suspension force distribution model and the calculation coefficients and the suspension force of each axle is adjusted according to the calculation results, the accuracy of the suspension force distribution can be effectively improved, and the balanced suspension state of the vehicle is simulated by utilizing the suspension force distribution model, and when the test vehicle is in a balanced suspension state, the simulation test is carried out on the test vehicle, so that the accuracy of the simulation test of the test vehicle is effectively improved, and the efficiency of the simulation test is improved, thereby effectively preventing the problems of inaccurate simulation test result and low efficiency of the vehicle simulation test caused by the fact that simulation software in the prior art cannot simulate the balanced suspension state of the vehicle.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for adjusting suspension force of a multi-axle vehicle according to the present invention;
FIG. 2 is a schematic flow chart of a suspension force calculation model determination method disclosed in the present invention;
FIG. 3 is a schematic flow chart of a second suspension force adjustment method according to the present disclosure;
FIG. 4 is a schematic flow chart of yet another second disclosed suspension force adjustment method;
FIG. 5 is a flow chart illustrating a method for adjusting allocation ratios according to the present invention;
FIG. 6 is a schematic diagram of a multi-axle vehicle suspension force calculation apparatus according to the present disclosure;
fig. 7 is a schematic view of a device for calculating suspension force of a multi-axle vehicle according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
When simulation software is used for carrying out simulation test on vehicle performance, the inventor finds that the balance suspension state of a vehicle cannot be simulated in the simulation software in the prior art, and when the vehicle runs on a road with uneven height, some wheels are easily in a suspension state, so that the wheels cannot play a supporting role, and meanwhile, the wheels in the suspension state reduce the performance of the wheels attached to the bottom surface, so that the problems of inaccurate simulation test result and low vehicle simulation test efficiency occur.
In order to solve the above problem, an embodiment of the present invention provides a method for adjusting a suspension force of a multi-axle vehicle, as shown in fig. 1, the method including:
and 101, determining a corresponding suspension force distribution model according to the number of axles of the axle group of the test vehicle. The suspension force distribution model is used to simulate a balanced suspension of a vehicle to adjust suspension forces of an axle.
Specifically, in the step of this embodiment, when a simulation test needs to be performed on a test vehicle, first, the number of axles in an axle group of the test vehicle is obtained, specifically, each axle is in a group on one side, for example, when the number of rear axles of the test vehicle is 2, two axles on the same side are in a group, two axles on the opposite side are in a group, when the number of rear axles of the test vehicle is 3, three axles on the same side are in a group, and three axles on the opposite side are in a group, the axle group in the embodiment of the present invention is preferably a rear axle of a heavy commercial vehicle, meanwhile, the axle group in the embodiment of the present invention may also be a front axle of a heavy commercial vehicle, after the number of axles of the axle group of the test vehicle is determined, a corresponding suspension force distribution model is selected according to the number of axles in the axle group, and when the number of axles in the axle group is 2, a suspension force calculation model corresponding to the number of axles is selected, when the number of axles of the axle group is 3, the suspension force calculation model corresponding to the number of axles of the axle group of 3 is selected.
And 102, determining a calculation coefficient in the suspension force distribution model according to a simulation test scene.
Specifically, after step 101 is executed, after the suspension force distribution model corresponding to the test vehicle is determined, the calculation coefficient in the selected suspension force model is determined according to the simulation test scenario of the test vehicle. Specifically, when the simulation test scene is the operation stability of the vehicle when the load of the test goods is uneven, or the simulation test scene is the traction performance of the test vehicle passing through an uneven road section when the test vehicle is fully loaded, the corresponding calculation coefficients are determined under different simulation test scenes.
And 103, obtaining a second suspension force adjusted by each axle by using the calculation coefficient and the suspension force distribution model according to the first suspension force acquired by each axle in the simulation test scene.
Specifically, after step 102 is executed, after a calculation coefficient of a suspension force distribution model is determined, a first suspension force borne by each axle in each axle group is acquired in real time, where the first suspension force is a load in a vertical direction borne by the axle, and when the first suspension force of each axle in each axle group is acquired, a second suspension force of each axle in the axle group is calculated respectively by using the suspension force calculation model determined in step 101 and the calculation coefficient determined in step 102, where the second suspension force is a suspension force obtained by adjusting the first suspension force of the axle through the suspension force calculation model. For example, the number of axles in the axle group is 2, the suspension force of the first axle in the axle group is 2000N, the suspension force of the second axle in the axle group is 1500N, and after the first suspension force of each axle in the axle group is determined, the suspension force of each axle is calculated using the determined suspension force calculation model and calculation coefficients to obtain the second suspension force of each axle.
And 104, adjusting the balanced suspension state of the test vehicle by using the second suspension force so as to perform simulation test on the test vehicle.
Specifically, after the step 103 is executed, after the second suspension force of each axle in the axle group is obtained, the suspension force of each axle is replaced by the corresponding second suspension force, so that the test vehicle is in a balanced suspension state, and when the test vehicle is in the balanced suspension state, the test vehicle is subjected to simulation test. For example, when the calculated second suspension force of the first axle is 1800N and the second suspension force of the second axle is 1700N, and the test vehicle is in a balanced suspension state at this time, the test vehicle is subjected to a simulation test, or when the calculated second suspension force of the first axle is 1750N and the second suspension force of the second axle is 1750N, and the test vehicle is in a balanced suspension state at this time, the test vehicle is subjected to a simulation test.
Specifically, the embodiment of the invention can accurately distribute the suspension force of the axles of the vehicles with different axle numbers by testing the number of different axles in the axle group of the vehicle and selecting the corresponding suspension force distribution model, and simultaneously determines the corresponding calculation coefficient according to different simulation test scenes, thereby further improving the accuracy of the calculation of the suspension force of the axles, and can effectively improve the accuracy of the distribution of the suspension force by acquiring the first suspension force of each axle of the current simulation test scene and accurately calculating the second suspension force of each axle by using the determined suspension force distribution model and the calculation coefficient when determining the required suspension force distribution model and the corresponding calculation coefficient, and simultaneously simulate the balanced suspension state of the vehicle by using the suspension force distribution model and perform simulation test on the test vehicle when the test vehicle is in the balanced suspension state, therefore, the accuracy of the simulation test of the tested vehicle is effectively improved, the efficiency of the simulation test is improved, and the problems that the simulation test result is inaccurate and the efficiency of the vehicle simulation test is low due to the fact that simulation software in the prior art cannot simulate the balanced suspension state of the vehicle are effectively solved.
Further, an embodiment of the present invention further provides a suspension force calculation model determining method, which is a specific introduction to the "determining a corresponding suspension force distribution model according to the number of axles of an axle group of a test vehicle" in step 101 of the embodiment shown in fig. 1, and the specific steps are as shown in fig. 2, and include:
Specifically, in the step of this embodiment, when a simulation test needs to be performed on the test vehicle, the number of axles in the axle group of the test vehicle is obtained, preferably, the axle group in this embodiment is preferably a rear axle group, and one side of each axle is a group, and the number of axles on one side of the rear axle of the test vehicle is obtained. For example, when the number of axles on the same side of the rear axle of the test vehicle is 2, the number of axles in the axle group is 2, when the number of axles on the same side of the rear axle of the test vehicle is 3, the number of axles in the axle group is 3, and so on.
And step 202, when the number of the axles is 2, determining the suspension force distribution model as a first suspension force distribution model.
Specifically, after step 201 is executed, the number of axles in the axle group in step 201 is determined, and when the number of axles in the axle group is 2, the suspension force distribution model is determined as the first suspension force distribution model, and in step 103, the second suspension force of each axle is calculated using the first suspension force distribution model.
And step 203, when the number of the axles is 3, determining the suspension force distribution model as a second suspension force distribution model.
Specifically, after step 201 is executed, the number of axles of the axle group in step 201 is determined, and when the number of axles in the axle group is 3, the suspension force distribution model is determined as the second suspension force distribution model, and in step 103, the second suspension force of each axle is calculated using the second suspension force distribution model.
Specifically, according to the embodiment of the invention, the suspension force distribution models corresponding to different axle groups can be accurately selected according to the number of axles in the axle group, and the second suspension force of each axle can be accurately calculated according to the selection of the corresponding suspension force distribution model, so that a test vehicle can be in a balanced suspension state by using the suspension force distribution models, the accuracy of simulation test is further ensured, and the simulation test efficiency is improved.
Further, an embodiment of the present invention provides a second suspension force adjusting method, which is a specific introduction to "obtaining, according to the first suspension force acquired by each axle in a simulation test scenario, the second suspension force adjusted by each axle by using the calculation coefficient and the suspension force distribution model" in step 103 of the embodiment shown in fig. 1, and the specific steps are shown in fig. 3, and include:
Specifically, after the number of axles in the axle group is determined, a first suspension force of each axle in the axle group is respectively obtained, and when the number of axles in the axle group is 2, a first suspension force of the first axle and a second suspension force of the second axle in the axle group are respectively obtained.
Wherein the first difference is a difference between 1 and the calculated coefficient, and the calculated coefficient includes a first calculated coefficient.
And step 304, obtaining the second suspension force corresponding to the first axle according to the sum of the first calculation parameter and the second calculation parameter.
Specifically, when step 302 to step 304 are executed, the following formula is adopted to calculate the second suspension force corresponding to the first axle, and the specific formula is as follows:
wherein the content of the first and second substances,
representing a second suspension force corresponding to the first axle,
representing a first suspension force of the first axle,
representing a first suspension force for the second axle, λ being a first calculated coefficient, and λ being 0-1, determined from a simulation test scenario.
Specifically, in the embodiment of the present invention, the first calculation coefficient is preferably 0.5, and other values may also be selected according to the actual simulation test scenario, for example, when the simulation test scenario is the handling stability of the vehicle when the test cargo is loaded unevenly, the first calculation coefficient may be 0.35, and when the simulation test scenario is the traction performance of the test vehicle passing through an uneven road section when the test vehicle is fully loaded, the first calculation coefficient may be 0.6. The numerical value of the first calculation coefficient is limited, and the test vehicle can be in a balanced suspension state only by using the first suspension distribution model.
Specifically, in step 305-307, the following formula is adopted to calculate the second suspension force corresponding to the second axle, and the specific formula is as follows:
wherein the content of the first and second substances,
representing a second suspension force for the second axle.
Specifically, in the embodiment of the invention, the second suspension force of each axle in the axle group can be accurately calculated by the first suspension force distribution model when the axle in the axle group is 2, and the suspension force borne by each axle is adjusted by using the second suspension force, so that the test vehicle is in a balanced suspension state, thereby effectively improving the accuracy of the simulation test and further improving the efficiency of the simulation test.
Further, another second suspension force adjusting method is provided in the embodiment of fig. 1, and specifically described in step 103 of the embodiment of fig. 1, where "the second suspension force adjusted by each axle is obtained according to the first suspension force acquired by each axle in the simulation test scenario by using the calculated coefficient and the suspension force distribution model", and the specific steps are as shown in fig. 4, and include:
Wherein the calculation coefficients further include a second calculation coefficient and a third calculation coefficient.
Specifically, when the number of axles in the axle group is 3, the calculation coefficient determined in step 102 is acquired, and the first allocation ratio and the second allocation ratio are calculated respectively according to the determined second calculation coefficient and the determined third calculation coefficient. In the embodiment of the present invention, the second calculation coefficient and the third calculation coefficient are preferably 2/3, and the second calculation coefficient is the same as the third calculation coefficient. Other values may also be selected based on different simulation test scenarios. In the invention, the numerical values of the second calculation coefficient and the third calculation coefficient are limited, and the test vehicle can be in a balanced suspension state only by using the second suspension distribution model.
Specifically, after step 401 is executed, the following formula is used to obtain an allocation ratio matrix, which is specifically as follows:
wherein, C 11 ＝1-R l ，C 12 ＝R l (1-T d )，C 13 ＝R l T d ，C 21 ＝R l L d ，C 22 ＝1-R l L d -R t T d ，C 23 ＝R t T d ，C 31 ＝R t L d ，C 32 ＝R t (1-L d )，C 33 ＝1-R t 。
In particularC is an allocation ratio matrix, R l For the second calculation of the coefficient, R t For the third calculation of the coefficient, L d Is the first allocation ratio, T d Is the second allocation proportion.
Specifically, the embodiment of the present invention calculates the second suspension force corresponding to each axle by using the following formula, which is as follows:
wherein the content of the first and second substances,
representing a second suspension force corresponding to the first axle,
representing a second suspension force for the second axle,
representing a second suspension force for the third axle,
representing a first suspension force of the first axle,
representing a first suspension force of the second axle,
representing the first suspension force of the third axle, T is a matrix transpose for interchanging elements on both sides of the matrix diagonal.
Specifically, the second suspension force of each axle in the axle group can be accurately calculated through the second suspension force distribution model when the number of the axles in the axle group is 3, and the test vehicle is in a balanced suspension state through the second suspension force, so that the accuracy of the simulation test is effectively improved, and the efficiency of the simulation test is further improved.
Further, an embodiment of the present invention provides a method for adjusting allocation ratios, where the method specifically introduces "obtaining a first allocation ratio and a second allocation ratio according to a second calculation coefficient and a third calculation coefficient respectively" in step 401 of the embodiment shown in fig. 4, and the specific steps are as shown in fig. 5, and include:
Specifically, when steps 501 to 503 are executed, the following formulas are adopted to calculate the first allocation ratio and the second allocation ratio respectively, and the specific formulas are as follows:
wherein R is l For the second calculation of the coefficient, R t For the third calculation of the coefficient, L d Is the first allocation ratio, T d Is the second allocation proportion.
Further, as an implementation of the method embodiments shown in fig. 1 to 5, the embodiment of the present invention provides a device for calculating suspension force of a multi-axle vehicle, where the device can simulate a balanced suspension state of a vehicle, so as to improve accuracy of a simulation test and further improve efficiency of the simulation test. An embodiment of the apparatus corresponds to the foregoing method embodiment, and details in the foregoing method embodiment are not repeated in this embodiment for convenience of reading, but it should be clear that the apparatus in this embodiment can correspondingly implement all the contents in the foregoing method embodiment, specifically as shown in fig. 6, the apparatus includes:
the determining module 10 is used for determining a corresponding suspension force distribution model according to the number of axles of the axle group of the test vehicle;
a selection module 20, configured to determine a calculation coefficient in the suspension force distribution model according to a simulation test scenario;
the calculation module 30 is configured to obtain a second suspension force adjusted by each axle by using the calculation coefficient determined by the selection module 20 and the suspension force distribution model determined by the determination module 10 according to the first suspension force acquired by each axle in the simulation test scene;
an adjustment module 40 for adjusting the balanced suspension state of the test vehicle using the second suspension force calculated by the calculation module 30.
Further, as shown in fig. 7, the determining module 10 further includes:
an obtaining unit 110, configured to obtain the number of axles of the axle group;
a first determination unit 120 configured to determine the suspension force distribution model as a first suspension force distribution model when the number of axles is 2;
a second determination unit 130, configured to determine the suspension force distribution model as the first suspension force distribution model when the number of axles is 3.
Further, as shown in fig. 7, the calculation module 30 includes:
a first calculating unit 310, configured to obtain a first suspension force of a first axle and a first suspension force of a second axle in the axle group, respectively, when the number of axles is 2;
the second calculating unit 320 is configured to obtain a first calculation parameter according to a product of the first suspension force obtained by the first calculating unit 310 and a first difference value when calculating the second suspension force corresponding to the first axle;
a third calculating unit 330, configured to obtain a second calculation parameter according to a product of the second suspension force and the first calculation coefficient, which are obtained by the first calculating unit 310;
a fourth calculating unit 340, configured to obtain the second suspension force corresponding to the first axle according to a sum of the first calculation parameter calculated by the second calculating unit 320 and the second calculation parameter calculated by the third calculating unit 330;
a fifth calculating unit 350, configured to obtain a third calculating parameter according to a product of the second suspension force obtained by the first calculating unit 310 and the first difference when calculating the second suspension force corresponding to the second axle;
a sixth calculating unit 360, configured to obtain a fourth calculation parameter according to a product of the first suspension force obtained by the first calculating unit 310 and the first calculation coefficient;
a seventh calculating unit 370, configured to obtain the second suspension force corresponding to the second axle according to a sum of the third calculating parameter calculated by the fifth calculating unit 350 and the fourth calculating parameter calculated by the sixth calculating unit 360.
Further, as shown in fig. 7, the calculation module 30 further includes:
an eighth calculating unit 380, configured to, when the number of axles is 3, obtain a first allocation proportion and a second allocation proportion according to the determined calculating coefficients, where the calculating coefficients further include a second calculating coefficient and a third calculating coefficient;
a ninth calculating unit 390, configured to obtain an allocation duty ratio matrix according to the second calculating coefficient, the third calculating coefficient, and the first allocation duty ratio and the second allocation duty ratio calculated by the eighth calculating unit 380;
a tenth calculating unit 300, configured to obtain the second suspension force corresponding to the first axle, the second suspension force corresponding to the second axle, and the third suspension force corresponding to the third axle, respectively, according to the first suspension force of the first axle, the second suspension force of the second axle, and the third suspension force of the third axle in the axle group, by using the distribution proportion matrix calculated by the ninth calculating unit 390.
Further, as shown in fig. 7, the eighth calculating unit 380 is further configured to obtain a second calculating parameter according to a sum of the second calculating coefficient and the third calculating coefficient; when the first allocation ratio is calculated, the first allocation ratio is obtained according to the ratio of the second calculation coefficient to the second calculation parameter; and when the second allocation occupation ratio is calculated, obtaining the second allocation occupation ratio according to the ratio of the third calculation coefficient to the second calculation parameter.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described in detail herein.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In addition, the memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present invention and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method of multi-axle vehicle suspension force adjustment, the method comprising:
determining a corresponding suspension force distribution model according to the number of axles of an axle group of a test vehicle, wherein the suspension force distribution model is used for simulating a balance suspension of the vehicle to adjust the suspension force of the axles;
determining a calculation coefficient in the suspension force distribution model according to a simulation test scene;
obtaining a second suspension force adjusted by each axle by utilizing the calculation coefficient and a suspension force distribution model according to a first suspension force acquired by each axle in a simulation test scene;
and adjusting the balanced suspension state of the test vehicle by using the second suspension force so as to perform simulation test on the test vehicle.
2. The method of claim 1, wherein determining a corresponding suspension force distribution model based on a number of axles of a test vehicle axle set comprises:
acquiring the number of the axles of the axle group;
when the number of the axles is 2, determining the suspension force distribution model as a first suspension force distribution model;
when the number of axles is 3, the suspension force distribution model is determined as a second suspension force distribution model.
3. The method of claim 1, wherein the obtaining the adjusted second suspension force of each axle by using the calculation coefficients and the suspension force distribution model according to the first suspension force acquired by each axle in the simulation test scenario comprises:
when the number of the axles is 2, respectively acquiring a first suspension force of a first axle and a first suspension force of a second axle in the axle group;
when the second suspension force corresponding to the first axle is calculated, obtaining a first calculation parameter according to a product of a first suspension force of the first axle and a first difference value, wherein the first difference value is a difference between 1 and the calculation coefficient, and the calculation coefficient includes a first calculation coefficient;
obtaining a second calculation parameter according to a product of the first suspension force of the second axle and the first calculation coefficient;
obtaining the second suspension force corresponding to the first axle according to the sum of the first calculation parameter and the second calculation parameter;
when the second suspension force corresponding to the second axle is calculated, obtaining a third calculation parameter according to the product of the first suspension force of the second axle and the first difference value;
obtaining a fourth calculation parameter according to a product of the first suspension force of the first axle and the first calculation coefficient;
and obtaining the second suspension force corresponding to the second axle according to the sum of the third calculation parameter and the fourth calculation parameter.
4. The method of claim 1, wherein the obtaining the adjusted second suspension force of each axle by using the calculation coefficients and the suspension force distribution model according to the first suspension force acquired by each axle in the simulation test scenario comprises:
when the number of the axles is 3, respectively obtaining a first distribution ratio and a second distribution ratio according to the determined calculation coefficients, wherein the calculation coefficients further comprise a second calculation coefficient and a third calculation coefficient;
obtaining a distribution ratio matrix according to the second calculation coefficient, the third calculation coefficient, the first distribution ratio and the second distribution ratio;
and according to a first suspension force of a first axle, a first suspension force of a second axle and a first suspension force of a third axle in the axle group, respectively obtaining the second suspension force corresponding to the first axle, the second suspension force corresponding to the second axle and a second suspension force corresponding to the third axle by using the distribution ratio matrix.
5. The method according to claim 4, wherein the obtaining the first allocation share and the second allocation share according to the second calculation coefficient and the third calculation coefficient, respectively, comprises:
obtaining a second calculation parameter according to the sum of the second calculation coefficient and the third calculation coefficient;
when the first allocation ratio is calculated, the first allocation ratio is obtained according to the ratio of the second calculation coefficient to the second calculation parameter;
and when the second allocation occupation ratio is calculated, obtaining the second allocation occupation ratio according to the ratio of the third calculation coefficient to the second calculation parameter.
6. The method of claim 3, wherein the first calculation factor is 0.5.
7. The method of claim 4 or 5, wherein the second calculation coefficient and the third calculation coefficient are both 2/3.
8. A multi-axle vehicle suspension force calculation apparatus, the apparatus comprising:
the determining module is used for determining a corresponding suspension force distribution model according to the number of axles of the axle group of the test vehicle;
the selection module is used for determining a calculation coefficient in the suspension force distribution model according to a simulation test scene;
the calculation module is used for obtaining a second suspension force adjusted by each axle by utilizing the calculation coefficient and the suspension force distribution model according to the first suspension force acquired by each axle in a simulation test scene;
an adjustment module to adjust a balanced suspension state of the test vehicle using the second suspension force.
9. A terminal, characterized in that the terminal is configured to run a program, wherein the terminal is configured to perform the method of adjusting a suspension force of a multi-axle vehicle according to any one of claims 1-7 when running.
10. A storage medium for storing a computer program, wherein the computer program when executed controls an apparatus in which the storage medium is located to perform the method of adjusting suspension force of a multi-axle vehicle according to any one of claims 1-7.
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| CN202210669110.1A CN115048720A (en) | 2022-06-14 | 2022-06-14 | Method and device for adjusting suspension force of multi-axle vehicle |
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| CN202210669110.1A CN115048720A (en) | 2022-06-14 | 2022-06-14 | Method and device for adjusting suspension force of multi-axle vehicle |
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| CN107292013A (en) * | 2017-06-14 | 2017-10-24 | 北京新能源汽车股份有限公司 | Suspension system strength test method and device |
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| CN101393079A (en) * | 2008-11-06 | 2009-03-25 | 上海交通大学 | Automobile vehicle body structure fatigue life predicting system |
| WO2013190570A1 (en) * | 2012-06-22 | 2013-12-27 | Volvo India Pvt Ltd | Load distribution system and method |
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| WO2016020030A1 (en) * | 2014-08-06 | 2016-02-11 | Daimler Ag | Suspension system for a vehicle, in particular a commercial vehicle, as well as method for operating such a suspension system |
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Address after: 314500 988 Tong Tong Road, Wu Tong Street, Tongxiang, Jiaxing, Zhejiang Applicant after: United New Energy Automobile Co.,Ltd. Address before: 314500 988 Tong Tong Road, Wu Tong Street, Tongxiang, Jiaxing, Zhejiang Applicant before: Hozon New Energy Automobile Co., Ltd. |