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Research On Control Strategy For Electric Vehicle Based On MotoTron

Posted on:2018-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:G S XueFull Text:PDF
GTID:2322330518962868Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
Haze pollution has been a big environment problem in our country.With the advantage of low-emission and fuel-efficient,electric vehicle becomes an important means to control pollution.Furthermore,the techinque level is the point of power performance and fuel economy of electric vehicle.Aiming at the problems of weak power and short mileage of electric vehicle,this paper focused on the control strategy of electric vehicle to improve the power and fuel economy.It mainly researched four aspects as following:the modeling method of electric vehicle,the research and design of electric vehicle control strategy,the realization of the vehicle control strategy model and the simulation of the bench test.(1)This paper built the physical model of vehicle physical structure and mathematical model of control strategy bythe hybrid modeling method,which is based on MATLAB/Simscape physical modeling and Simulink mathematical modeling.(2)To improve the performance in power and economy of electric vehicle,this paper proposeda control strategy of electric vehiclewhich was safety,reliability andgood performanceincluding power on and off control,torque output control,energy recovery and charging management.(3)By using the software of MotoTron rapid prototyping platform to set the underlying environment of the controller system.This paper builta settable vehicle control strategy model.Compared with the basic control model,the designed control strategy showed that the accelerated performance rate has been increased by 30.7%and the energy recovery rate has been increased by 22.2%.(4)Vehicle control strategy was verified by bench test.The experimental results showed that the vehicle control strategycould effectively improve the performance in power and economy of electric vehicle.In the ECE condition,the actual energy recovery ratewas up to 26.5%.The performance of electric vehicle,such as power output,energy recovery and mileage,was improved.The control strategy was proven to be correct and effective by bench test.
Keywords/Search Tags:vehicle control strategy, physical modeling, MotoTron, bench test
PDF Full Text Request
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