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Ride Comfort Research Of EV Based On Adams And MATLAB

Posted on:2017-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2348330488979398Subject:Software engineering
Abstract/Summary:PDF Full Text Request
"The basic necessities of life", the car is the eternal subject of the progress of human civilization Driving smoothness has been a hot scientific research field that attracted close attentions of institutions and enterprise at home and abroad. However, for the actual demand of specific vehicle, conducting a deep simulation research combined with the actual has a positive practical significance. Based on multi-body system dynamics theory and method, considering the advantages and disadvantages of several existing simulation software(MATLAB and Adams), the paper made a co-simulation of the ride comfort analysis of a small four-wheel double electric vehicle and optimized it. Taking the four-wheel double electric vehicle as an engineering example, using the three-dimensional modeling software CATIA, virtual prototyping software ADAMS and the mathematical calculation software MATLAB simulation software, the co-simulation completed the modeling work of smooth problems and simulation optimization work, with good results. it provides a reference value for the vehicle ride comfort simulation of the actual engineering application problems.First of all, we must fully understand and master the virtual prototype technology and methods of this type of vehicle, related theory of ADAMS simulation software and model construction and dynamic analysis, etc.. According to the specific requirements of the research content of the subject and considering the complexity of the shape of the actual vehicle suspension system parts, models of each system of the vehicle are modeled in this paper with the combined application of the parametric 3D solid modeling software CATIA and dynamics simulation software ADAMS. What's more, with full consideration to the advantages of the two kinds of softwares, simulation model is also established. Specifically speaking, to ensure accurate quality characteristics, spatial location and other information, the precise entity model of the vehicle is established in the CATIA software, and then imported into the ADAMS environment. Furthermore, this method is used to establish the vehicle dynamics model of the vehicle's front and rear suspension system in ADAMS. In order to verify the accuracy of the whole vehicle model, under the environment of Adams, based on multi-body rigid flexible coupling dynamic simulation model, according to related national test standard, the ride comfort simulation experiment is carried out. the experimental results are significantly remarkable and indicate that the model reaches a smooth research needs.The ADAMS software has powerful dynamics calculation function, but less embedded optimization program, and it is not easy to search the global optimization solution. Considering the actual requirements of this research topic, this paper used the MATLAB programming language to achieve the optimization algorithm.The basic algorithm steps of the co-simulation of MATLAB and ADAMS is as follows.1)Establishing optimization program based on genetic algorithm in MATLAB;2)Using MATLAB and ADAMS data interface to monitor and modify the corresponding parameter in the ADAMS model with the optimization results of smooth performance obtained in MATLAB;3)Calculation results in ADAMS will return to the MATLAB, to optimize the computation again, until obtain better optimization results.The research, through the co-simulation comprehensive method of MATLAB and Adams, completed the ride comfort optimization works of the small four-wheel double electric vehicle. The simulation and optimization results show that: the co-simulation research method can provide valuable reference for practical engineering problems, with positive practical significance.
Keywords/Search Tags:electric vehicle, ADAMS, MATLAB, co-simulation, genetic algorithm
PDF Full Text Request
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