CN107784140B - Load spectrum customization method and system for durability of vehicle power system part - Google Patents
Load spectrum customization method and system for durability of vehicle power system part Download PDFInfo
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- CN107784140B CN107784140B CN201610762125.7A CN201610762125A CN107784140B CN 107784140 B CN107784140 B CN 107784140B CN 201610762125 A CN201610762125 A CN 201610762125A CN 107784140 B CN107784140 B CN 107784140B
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Abstract
The invention provides a durability evaluation method and a durability evaluation system of a vehicle power system, wherein the method comprises the following steps: acquiring market sales distribution area data and vehicle purchasing path distribution condition data of vehicles of preset models; a plurality of components for setting the running condition of the vehicle, wherein each component comprises a plurality of component selection types; setting a weight distribution scheme of the vehicle running condition according to the market sales distribution area data, the purchased vehicle use distribution condition data and a plurality of constituent elements of the vehicle running condition; constructing a vehicle power assembly model of a vehicle with a preset model; and carrying out a preset number of simulation experiments according to the weight distribution scheme so as to obtain the durability evaluation result of the vehicle power system component. The method can be used for carrying out targeted durability evaluation on the vehicle power system component according to the actual environment in which the vehicle runs.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a load spectrum customizing method and system for durability of parts of a vehicle power system.
Background
Fatigue life is one of the main design criteria for automobiles and their parts. Automobile part product design and fatigue strength test research need to be established on the basis of reflecting the load working condition when the automobile part product is actually used. The load spectrum is the basis for carrying out fatigue tests on the parts and is the load basis for the design of the parts. However, in the related art, a set of durability evaluation methods for a complete powertrain system is lacked.
Disclosure of Invention
In view of the above, the present invention is directed to a method for evaluating durability of a vehicle powertrain system, which is used for evaluating durability of vehicle powertrain system components in a targeted manner with respect to an actual environment in which a vehicle operates.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a durability evaluation method of a vehicle powertrain system, comprising the steps of: acquiring market sales distribution area data and vehicle purchasing path distribution condition data of vehicles of preset models; setting a plurality of components of a vehicle running condition, wherein each component comprises a plurality of component selection types; setting a weight distribution scheme of vehicle running conditions according to the market sales distribution area data, the purchased vehicle use distribution condition data and the plurality of components of the vehicle running conditions, wherein the weight distribution scheme of the vehicle running conditions comprises a plurality of condition weight units, each condition weight unit comprises a vehicle simulation condition and a vehicle simulation condition weight value corresponding to the vehicle simulation condition weight unit, and the vehicle simulation condition is formed by respectively selecting one component selection type from each component; constructing a vehicle powertrain model of the vehicle with the preset model; and selecting a preset number of working condition weight units from the plurality of working condition weight units according to the weight value sequence, and carrying out a simulation experiment on the vehicle simulation working conditions in the selected working condition weight units to obtain the durability evaluation result of the corresponding vehicle power system component.
Furthermore, the weight distribution scheme for the vehicle running condition further comprises a plurality of element weight units, each element weight unit comprises an element selection type and an element weight value corresponding to the element selection type, and the vehicle simulated condition weight value is obtained by a plurality of element weight values which are in one-to-one correspondence with a plurality of element selection types of the vehicle simulated condition corresponding to the vehicle simulated condition weight value.
Further, the vehicle simulated condition weight value is obtained by performing superposition calculation on a plurality of element weight values which form a one-to-one correspondence with a plurality of element selection types of the vehicle simulated condition corresponding to the vehicle simulated condition weight value.
Further, the plurality of components include a plurality of road grade, vehicle load, vehicle initial battery level, vehicle ambient temperature, and vehicle operating mode.
Further, after the acquiring the market sales distribution regional data and the vehicle purchasing route distribution data of the vehicles of the preset models, the method further comprises: obtaining road condition information of a plurality of users according to the market sales volume distribution area data and the purchased vehicle route distribution condition data of the vehicles with the preset models; merging a plurality of user road condition information with the similarity higher than a similarity threshold value into one user road condition information; the weight distribution scheme of the vehicle running condition is further set according to the road condition information of a plurality of users and the vehicle running condition.
Compared with the prior art, the durability evaluation method of the vehicle power system has the following advantages:
the durability evaluation method of the vehicle power system sets a weight distribution scheme according to the market sales distribution regional data, the purchased vehicle distribution situation data and the constituent elements of the vehicle running conditions of the vehicles with preset models, further selects preset number of working conditions in the weight distribution scheme for simulation, and finally obtains the durability evaluation result of the vehicle power system.
Another object of the present invention is to provide a durability evaluation system for a vehicle powertrain system that performs durability evaluation of vehicle powertrain system components with respect to the actual environment in which the vehicle is operating.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a durability evaluation system for a vehicle powertrain system comprising: the data acquisition module is used for acquiring market sales distribution area data and vehicle purchasing route distribution situation data of vehicles of preset models; the vehicle driving condition setting module is used for setting a plurality of components of a vehicle driving condition, and each component comprises a plurality of component selection types; the weight distribution scheme setting module is used for setting a weight distribution scheme of the vehicle running condition according to the market sales distribution area data, the purchased vehicle and road distribution condition data and the plurality of components of the vehicle running condition, wherein the weight distribution scheme of the vehicle running condition comprises a plurality of condition weight units, each condition weight unit comprises a vehicle simulation condition and a corresponding vehicle simulation condition weight value, and the vehicle simulation condition is formed by respectively selecting one component selection type from each component; the vehicle powertrain model building module is used for building a vehicle powertrain model of the vehicle with the preset model; and the durability evaluation module is used for selecting a preset number of working condition weight units from the plurality of working condition weight units according to the weight value sequence, and carrying out simulation experiment on the vehicle simulation working conditions in the selected working condition weight units to obtain the durability evaluation result of the corresponding vehicle power system component.
Furthermore, the weight distribution scheme for the vehicle running condition further comprises a plurality of element weight units, each element weight unit comprises an element selection type and an element weight value corresponding to the element selection type, and the vehicle simulated condition weight value is obtained by a plurality of element weight values which are in one-to-one correspondence with a plurality of element selection types of the vehicle simulated condition corresponding to the vehicle simulated condition weight value.
Further, the vehicle simulated condition weight value is obtained by performing superposition calculation on a plurality of element weight values which form a one-to-one correspondence with a plurality of element selection types of the vehicle simulated condition corresponding to the vehicle simulated condition weight value.
Further, the plurality of components include a plurality of road grade, vehicle load, vehicle initial battery level, vehicle ambient temperature, and vehicle operating mode.
Further, the method also comprises the following steps: the system comprises a user traffic information determining module, a traffic information acquiring module and a traffic information acquiring module, wherein the user traffic information determining module is used for acquiring a plurality of pieces of user traffic information according to market sales distribution area data and purchased vehicle traffic distribution condition data of vehicles of preset models, and is also used for combining a plurality of pieces of user traffic information with similarity higher than a similarity threshold value in the plurality of pieces of user traffic information into one piece of user traffic information; the user road condition information determining module is connected with the weight distribution scheme setting module, and the weight distribution scheme setting module is further used for setting the weight distribution scheme of the vehicle running condition according to a plurality of user road condition information and the vehicle running condition.
The durability evaluation system of the vehicle power system and the durability evaluation method of the vehicle power system have the same advantages compared with the prior art, and are not repeated herein.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a trip diagram of a method for durability evaluation of a vehicle powertrain according to an embodiment of the present invention;
fig. 2 is a block diagram of a durability evaluation system for a vehicle powertrain according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
FIG. 1 is a flow chart of a method for durability evaluation of a vehicle powertrain according to one embodiment of the present invention.
As shown in fig. 1, a durability evaluation method of a vehicle power system according to one embodiment of the invention includes the steps of:
s1: and acquiring the distribution area data of the market sales volume of the vehicles with the preset models and the distribution situation data of the purchased vehicles.
Specifically, a vehicle of a predetermined model is selected, and market sales distribution regional data of the vehicle of the predetermined model is collected. The market sales distribution area data includes a specific area and sales volume, for example, 200 vehicles of X type sold in beijing. Further, the sales amount of each area of Beijing can be counted in detail. In addition, it is useful to obtain the buyer's buying car from a form filled in during market research or selling. The road condition of the buyer driving after buying can be roughly obtained according to the sales quantity of a specific region and the car buying application of the corresponding buyer, so that the follow-up analysis can be conveniently carried out.
S2: a plurality of components for setting a running condition of a vehicle, each of which includes a plurality of component selection types, are provided.
In one embodiment of the invention, the plurality of constituents of the vehicle driving condition are a plurality of road grade, vehicle load, vehicle initial battery charge, vehicle ambient temperature, and vehicle operating mode.
Specifically, for the road gradient, if the project time and cost permit, actual measurement is performed for each road condition, and the altitude of each road surface is collected. The collected road conditions, the speed and the altitude of the vehicle are required to cover different road conditions as far as possible, and the region with a larger proportion of sales shares is subjected to an important test. If the project time and the cost are not allowed, the vehicle speed working conditions of the same type of vehicle in the past project can be used for reference. The previous working condition data is used to represent the working condition to be considered in the current project to a certain extent. In the road condition that the actual road surface altitude is not collected, a virtual road surface gradient is generally adopted.
For full vehicle loads, including empty, half loaded, full and trailer.
For the initial battery capacity of a vehicle, for a PHEV (plug in hybrid electric vehicle) vehicle type, according to different initial conditions of the battery capacity, the cycle working condition of the whole vehicle is defined into two modes, namely a CD mode and a CS mode, and according to different vehicle types, the corresponding initial SOC values of the battery are different. The starting SOC of the CD mode is a value corresponding to the highest state of charge of the battery, and the starting SOC of the CS mode is a value corresponding to the lowest state of charge of the battery after discharging is finished. For a pure electric vehicle model, the CD mode need only be considered, and the initial SOC setting corresponds to the value corresponding to the highest state of charge of the battery state of charge.
For the vehicle temperature environment, calculating the appearance proportion of each temperature value in each subdivided temperature interval (for example, one interval at every 2 degrees) according to the investigation result of the natural environment condition of the vehicle in market investigation, and multiplying the appearance proportion by the temperature proportion and the sales share of each area to obtain the appearance proportion weighted by each subdivided temperature interval in all the sales areas; the weighted appearance ratio of each subdivided temperature interval is divided into a plurality of grades (for example, 3 grades: cold/normal/hot). And calculating the appearance proportion and the weighted average temperature of each grade.
For the vehicle running mode, the mode setting is carried out on the framework of the vehicle type and the driving mode definition, different vehicle type modes are different in setting, and different mode switch threshold values are different in setting. For example, 5 operation modes, i.e., 4WD mode, Auto mode, Power mode, Pure mode, and Save mode, are different in the restriction conditions in each mode.
S3: and setting a weight distribution scheme of the vehicle running condition according to the market sales distribution area data, the purchased vehicle distribution situation data and the plurality of components of the vehicle running condition. The weight distribution scheme of the vehicle running condition comprises a plurality of condition weight units, each condition weight unit comprises a vehicle simulation condition and a corresponding vehicle simulation condition weight value, and the vehicle simulation condition is formed by respectively selecting an element selection type from each constituent element.
Specifically, in one embodiment of the present invention, the template of the weight assignment scheme is shown in table 1:
TABLE 1
And according to the table 1, setting and adjusting the proportion of each element selection type according to the use condition of each working condition fed back by the user in market research. The proportion setting of the level/mountain roads and the driving mode is mainly to set the corresponding proportion according to the feedback result of market research users and adjust the proportion according to the actual application condition of each working condition; setting the proportion of load distribution, namely setting the corresponding proportion according to the feedback result of market research users; the SOC is adjusted according to the actual running condition of the whole vehicle corresponding to each driving mode setting proportion; the temperature ratio setting process is to count the ratios of the cold mode, the standard mode, and the hot mode on the basis of the temperature region division, and thereby set the ratio corresponding to each mode as the ratio corresponding to the ambient temperature.
And (4) arranging and combining the conditions to obtain a plurality of working condition weight units. Each working condition weight unit comprises a vehicle simulation working condition and a corresponding vehicle simulation working condition weight value. In one example of the present invention, the duty weighting unit is [ flat, no load, Pure, highest SOC, standard ] ═ Y%.
In one embodiment of the invention, the weight distribution scheme of the vehicle driving condition further comprises a plurality of element weight units, and each element weight unit comprises an element selection type and an element weight value corresponding to the element selection type. For example: [ (road, a%), (idle, B%), (Pure, C%), (highest SOC, D%), (standard, E%) ]. The vehicle simulated condition weight values are obtained by a plurality of element weight values which are in one-to-one correspondence with a plurality of element selection types of the vehicle simulated conditions corresponding to the vehicle simulated condition weight values. For example, [ flat road, no load, Pure, maximum SOC, standard ] ═ Y% can be obtained.
In one embodiment of the present invention, the vehicle simulated condition weight value is obtained by a multiplication calculation of a plurality of element weight values corresponding to one-to-one correspondence to a plurality of element selection types constituting the vehicle simulated condition corresponding to the vehicle simulated condition weight value, that is, a% × B% × C% × D% × E% ═ Y%.
S4: and constructing a vehicle power assembly model of the vehicle with the preset model.
Specifically, a vehicle powertrain model is constructed through powertrain construction software according to the architecture of a predetermined model of vehicle.
S5: and selecting a preset number of working condition weight units from the plurality of working condition weight units according to the weight value sequence, and carrying out a simulation experiment on the vehicle simulation working conditions in the selected working condition weight units to obtain the durability evaluation result of the corresponding vehicle power system component.
Specifically, the plurality of working condition weight units are subjected to weight descending arrangement according to the weight values of the vehicle simulation working conditions, a preset number of vehicle simulation working conditions are selected from the descending arrangement for simulation experiments, and according to the simulation results, the subsequent processing is performed on the simulation results according to the bearing capacity of the parts, namely the durability of the power system parts is evaluated.
In one embodiment of the invention, after acquiring the market sales distribution regional data and the vehicle purchasing distribution data of the vehicles of the preset models, the method further comprises the following steps:
obtaining road condition information of a plurality of users according to market sales volume distribution area data and vehicle purchasing route distribution condition data of vehicles of preset models;
and combining the multiple pieces of user traffic information with the similarity higher than the similarity threshold value into one piece of user traffic information.
The weight distribution scheme of the vehicle driving pattern is further set by the plurality of user road condition information and the vehicle driving pattern in step S3. The similar road conditions can be combined into a working condition through the steps.
It should be noted that, in the method for evaluating the durability of the vehicle powertrain according to the embodiment of the present invention, the precedence relationship between step S1 and step S2 is not limited, and it is only necessary to ensure that the content corresponding to step S1 and step S2 is gathered before the content of step S3. In addition, the steps S1, S2, S3 as a whole and the step S4 do not define a precedence relationship, and it is only necessary to ensure that the content of the step S3 and the content of the step S4 are all before the step S5.
According to the durability evaluation method of the vehicle power system, the weight distribution scheme is set according to the market sales distribution regional data, the purchased vehicle use distribution situation data and the constituent elements of the vehicle running conditions of the vehicles with the preset models, then the preset number of working conditions are selected in the weight distribution scheme for simulation, finally the durability evaluation result of the vehicle power system is obtained, and the data obtained through the market is strong in pertinence and good in system integrity.
Fig. 2 is a block diagram of the structure of an endurance evaluating system of a vehicle powertrain according to an embodiment of the present invention. As shown in fig. 2, the durability evaluation system of a vehicle power system according to one embodiment of the invention includes: a data acquisition module 210, an element setting module 220, a weight distribution scheme setting module 230, a vehicle powertrain model building module 240, and an endurance evaluation module 250.
The data acquiring module 210 is configured to acquire market sales distribution area data and vehicle purchasing route distribution data of vehicles of predetermined models. The element setting module 220 is used for setting a plurality of components of the vehicle driving condition, and each component includes a plurality of element selection types. The weight distribution scheme setting module 230 is configured to set a weight distribution scheme of the vehicle driving condition according to the market sales distribution area data, the purchased vehicle use distribution situation data, and a plurality of components of the vehicle driving condition. The weight distribution scheme of the vehicle running condition comprises a plurality of condition weight units, each condition weight unit comprises a vehicle simulation condition and a corresponding vehicle simulation condition weight value, and the vehicle simulation condition is formed by respectively selecting an element selection type from each constituent element. The vehicle powertrain model building module 240 is used to build a vehicle powertrain model for a predetermined model of vehicle. The durability evaluation module 240 is configured to select a preset number of operating condition weight units from the plurality of operating condition weight units according to the weight value sequence, and perform a simulation experiment on the vehicle simulation operating conditions in the selected operating condition weight units to obtain a durability evaluation result of the corresponding vehicle power system.
According to the durability evaluation system of the vehicle power system, the weight distribution scheme is set according to the market sales distribution regional data, the purchased vehicle application distribution condition data and the constituent elements of the vehicle running conditions of the vehicles with the preset models, then the preset number of working conditions are selected in the weight distribution scheme for simulation, finally the durability evaluation result of the vehicle power system is obtained, and the data obtained through the market is strong in pertinence and good in system integrity.
In one embodiment of the invention, the weight distribution scheme of the vehicle driving condition further comprises a plurality of element weight units, and each element weight unit comprises an element selection type and an element weight value corresponding to the element selection type. The vehicle simulated condition weight values are obtained by a plurality of element weight values which are in one-to-one correspondence with a plurality of element selection types of the vehicle simulated conditions corresponding to the vehicle simulated condition weight values.
In one embodiment of the present invention, the vehicle simulated condition weight value is obtained by a superposition calculation using a plurality of element weight values corresponding to one-to-one correspondence with a plurality of element selection types constituting the vehicle simulated condition corresponding to the vehicle simulated condition weight value.
In one embodiment of the present invention, the plurality of constituents includes a plurality of road grade, vehicle load, vehicle initial battery charge, vehicle ambient temperature, and vehicle operating mode.
In one embodiment of the invention, the system for evaluating the durability of the vehicle power system further comprises a user road condition information determining module. The user traffic information determining module is used for obtaining a plurality of user traffic information according to the market sales distribution area data and the vehicle purchasing traffic distribution condition data of the vehicles with the preset models, and the user traffic information determining module is also used for combining the plurality of user traffic information with the similarity higher than the similarity threshold value into one user traffic information. The user traffic information determining module is connected to the weight distribution scheme setting module 230. The weight distribution scheme setting module 230 is further configured to set a weight distribution scheme of the vehicle driving condition according to the information of the plurality of user road conditions and the vehicle driving condition.
It should be noted that the specific implementation manner of the durability evaluation system of the vehicle powertrain system according to the embodiment of the present invention is similar to the specific implementation manner of the durability evaluation method of the vehicle powertrain system according to the embodiment of the present invention, and please refer to the description of the method part specifically, and details are not repeated here in order to reduce redundancy.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A durability evaluation method of a vehicular power system, characterized by comprising the steps of:
acquiring market sales distribution area data and vehicle purchasing path distribution condition data of vehicles of preset models;
setting a plurality of components of a vehicle running condition, wherein each component comprises a plurality of component selection types;
setting a weight distribution scheme of the vehicle running condition according to the market sales distribution area data, the purchased vehicle use distribution situation data and the plurality of components of the vehicle running condition, wherein the weight distribution scheme of the vehicle running condition comprises a plurality of condition weight units, each condition weight unit comprises a vehicle simulation condition and a vehicle simulation condition weight value corresponding to the vehicle simulation condition, the vehicle simulation condition is formed by respectively selecting one component selection type from each component, and the vehicle simulation condition weight value is obtained by calculating a plurality of components corresponding to the plurality of component selection types of the vehicle simulation condition corresponding to the vehicle simulation condition weight value in a stacking manner;
constructing a vehicle powertrain model of the vehicle with the preset model;
and selecting a preset number of working condition weight units from the plurality of working condition weight units according to the weight value sequence, and carrying out a simulation experiment on the vehicle simulation working conditions in the selected working condition weight units to obtain the durability evaluation result of the corresponding vehicle power system component.
2. The durability evaluation method of a vehicle power system according to claim 1, wherein the weight distribution scheme of the vehicle driving condition further includes a plurality of element weight units, each of which includes an element selection type and an element weight value corresponding thereto, and the vehicle simulated condition weight value is obtained by a plurality of element weight values corresponding one-to-one to a plurality of element selection types constituting a vehicle simulated condition corresponding to the vehicle simulated condition weight value.
3. The method of assessing the durability of a vehicular power system according to any one of claims 1-2, characterized in that the plurality of constituent elements include a plurality of road gradient, entire vehicle load, vehicle initial battery level, vehicle ambient temperature, and vehicle operating mode.
4. The durability evaluation method of a vehicular power system according to claim 1, further comprising, after said acquiring market sales distribution area data and purchased vehicle distribution situation data of a predetermined model of vehicle:
obtaining road condition information of a plurality of users according to the market sales volume distribution area data and the purchased vehicle route distribution condition data of the vehicles with the preset models;
merging a plurality of user road condition information with the similarity higher than a similarity threshold value into one user road condition information;
the weight distribution scheme of the vehicle running condition is further set through the road condition information of a plurality of users and the vehicle running condition.
5. A durability evaluation system of a vehicle powertrain system, comprising:
the data acquisition module is used for acquiring market sales distribution area data and vehicle purchasing route distribution situation data of vehicles of preset models;
the vehicle driving condition setting module is used for setting a plurality of components of a vehicle driving condition, and each component comprises a plurality of component selection types;
a weight distribution scheme setting module, configured to set a weight distribution scheme of a vehicle driving condition according to the market sales distribution area data, the purchased vehicle and vehicle path distribution situation data, and the plurality of constituent elements of the vehicle driving condition, where the weight distribution scheme of the vehicle driving condition includes a plurality of condition weight units, each of the condition weight units includes a vehicle simulated condition and a vehicle simulated condition weight value corresponding to the vehicle simulated condition, the vehicle simulated condition is formed by respectively selecting one element selection type from each of the constituent elements, and the vehicle simulated condition weight value is obtained by stacking and multiplying a plurality of element weight values corresponding to a plurality of element selection types of the vehicle simulated condition corresponding to the vehicle simulated condition weight value;
the vehicle powertrain model building module is used for building a vehicle powertrain model of the vehicle with the preset model;
and the durability evaluation module is used for selecting a preset number of working condition weight units from the plurality of working condition weight units according to the weight value sequence, and carrying out simulation experiment on the vehicle simulation working conditions in the selected working condition weight units to obtain a corresponding durability evaluation result of the vehicle power system.
6. The durability evaluation system according to claim 5, wherein the weighting scheme of the vehicle driving condition further comprises a plurality of element weighting units, each of which comprises an element selection type and an element weighting value corresponding thereto, and the vehicle simulated condition weighting value is obtained by a plurality of element weighting values corresponding one-to-one to a plurality of element selection types constituting a vehicle simulated condition corresponding to the vehicle simulated condition weighting value.
7. The durability evaluation system of a vehicle powertrain of claim 5, wherein the plurality of constituents includes a plurality of road grade, vehicle load, vehicle initial battery charge, vehicle ambient temperature, and vehicle operating mode.
8. The durability evaluation system of a vehicular power system according to claim 5, characterized by further comprising:
the system comprises a user traffic information determining module, a traffic information acquiring module and a traffic information acquiring module, wherein the user traffic information determining module is used for acquiring a plurality of pieces of user traffic information according to market sales distribution area data and purchased vehicle traffic distribution condition data of vehicles of preset models, and is also used for combining a plurality of pieces of user traffic information with similarity higher than a similarity threshold value in the plurality of pieces of user traffic information into one piece of user traffic information;
the user road condition information determining module is connected with the weight distribution scheme setting module, and the weight distribution scheme setting module is further used for setting the weight distribution scheme of the vehicle running condition according to a plurality of user road condition information and the vehicle running condition.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104251781A (en) * | 2013-06-28 | 2014-12-31 | 上海汽车集团股份有限公司 | Automotive power assembly suspension system durability test method |
| CN105095542A (en) * | 2014-05-13 | 2015-11-25 | 广州汽车集团股份有限公司 | Automobile suspension key structure element optimization design method |
| JP2016021172A (en) * | 2014-07-15 | 2016-02-04 | トヨタ自動車株式会社 | Vehicle simulation system |
-
2016
- 2016-08-30 CN CN201610762125.7A patent/CN107784140B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104251781A (en) * | 2013-06-28 | 2014-12-31 | 上海汽车集团股份有限公司 | Automotive power assembly suspension system durability test method |
| CN105095542A (en) * | 2014-05-13 | 2015-11-25 | 广州汽车集团股份有限公司 | Automobile suspension key structure element optimization design method |
| JP2016021172A (en) * | 2014-07-15 | 2016-02-04 | トヨタ自動車株式会社 | Vehicle simulation system |
Non-Patent Citations (1)
| Title |
|---|
| 基于真实路况的车身结构疲劳寿命预测方法研究;吴振宇;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20150415;第C035-148页 * |
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