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Research On Parameter Matching And Optimization Of Power System Of The Dual Motor Pure Electric Vehicle

Posted on:2021-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:N WuFull Text:PDF
GTID:2392330632454263Subject:Vehicle Engineering
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Today with the rapid development of the automotive industry,the consumption of non-renewable energy is increasingly huge,and at the same time it has imposed tremendous pressure on the ecological environment.New energy vehicles have emerged as an important method to solve this series of problems.In the context of environmental problems and the energy crisis,new energy vehicles using clean energy are recognized as one of the main development directions of the future automotive industry.However,with the rapid development of vehicles,consumers' requirements for automobiles have become increasingly high.As a new generation of products,new energy vehicles still has a certain gap with traditional vehicles in some aspect such as power performance,economy performance and comfort performance,so it is difficult to widely recognized by the public.Therefore,It have also invested a lot of manpower and financial resources in improving the performance of electric vehicles Governments and companies around the world,but there are still many bottlenecks to be broken.If we make the electric vehicle completely replace traditional vehicles,we still need to improve its power performance and economy performance.In this paper,a pure electric vehicle drive system composed of a dual-drive motor with a planetary structure is designed by rationally distributing the performance of each component and changing the driving mode.According to the formulated design goals,the main components of the target vehicle were matched with parameters.A complete vehicle simulation model of a dual-motor pure electric vehicle is built in the AVL CRUISE simulation software,and a dual-motor drive control strategy is built in MATLAB / SIMULINK.The two simulations jointly build a dual-motor pure electric vehicle simulation platform.In order to further optimize the performance of dual-motor pure electric vehicles,this paper uses the improved genetic algorithm with an elite strategy to optimize the transmission ratio of the main reducer in the ISIGHT optimization platform,thereby achieving the goal to improve vehicle's power and economy.The main tasks are as follows:(1)Consult a large number of domestic and foreign literature,the development of pure electric vehicles at home and abroad is summarized,and the research significance of dual-motor pure electric vehicles and its research status quo is analyzed.(2)By analyzing different power system layout forms,the planetary row dual motor drive structure is proposed,and the working principle and working state of the planetary row dual motor are studied.(3)Through the design goals and the given vehicle parameters,the calculation method in the vehicle theory is used to calculate the vehicle's climbing power,acceleration power and power at the highest speed,and finally the parameters of the motor are matched,and the vehicle needs to continue driving The mileage matches the battery pack parameters,and by calculating the values of the maximum and minimum transmission ratios,the value range of the transmission ratio is matched.(4)The vehicle model is built in the AVL CRUISE simulation software,the dual-motor drive control strategy is built in MATLAB/SIMULINK,and the control strategy is embedded in the simulation software.The simulation results of the two are jointly simulated,and its power and economic simulation The results have reached the design standards,verify the accuracy of the simulation platform.(5)The AVL CRUISE simulation software is embedded in the ISIGHT optimization platform to form a joint simulation optimization platform.The genetic algorithm with elite strategy is selected to optimize the target parameter main reducer transmission ratio.The optimized simulation results through 241 iteration calculations show that The power and economy of the vehicle have been improved,which proves that this optimization method has certain research significance.
Keywords/Search Tags:dual motors of planetary row, parameter matching, AVL Cruise, control strategy, joint simulation
PDF Full Text Request
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