Dissertation
Dissertation > Transportation > Road transport > Automotive Engineering > A variety of automotive > Various energy vehicles

Simulation and Test on the Control Strategy for Four-wheel Drive Hybrid Electric Vehicle

Author MaDongBing
Tutor GuLiQiang
School Shanghai Jiaotong University
Course Vehicle Engineering
Keywords Four-wheel Drive HEV Control Strategy Simulation HIL
CLC U469.7
Type Master's thesis
Year 2013
Downloads 146
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Four-wheel drive vehicles are increasingly favored by the market,because of the high maneuverability and stability. But they also have manyproblems, such as high fuel consumption, high emissions and other issues.Before finding a better alternative energy, many car manufacturers havechosen to adopt the hybrid technology.In this essay, a model of Four-wheel drive HEV is studied. The basicobject is to improve the fuel economy as well as the automotive dynamics.This essay is divided into three sections: the drivetrain design, the controlstrategy design and simulation analysis, and the Hardware-In-the-Loop(HIL) simulation.Firstly, In order to satisfy the demands of the vehicle, the parameters ofthe engine, electric motor and HV battery are designed.Secondly, the control strategy is developed and the simulationanalysis is made based on analysis of the structure of power system. Thecontrol model of logic threshold value based on the rules on the modelingplatform of MATLAB/Simulink is built. By using the CRUISE software,the vehicle model is set up. Simulation under different initial conditions ofState of Charge (SOC) on the NEDC cycle is made. The effectiveness ofthe design of the control strategy is verified by way of comparing thecomprehensive fuel consumption with that of the traditional vehicle.Finally, built the CRUISE-ETAS HIL system, and done the related tests.The results showed that the rules-based logic threshold energy managementstrategy achieved the torque distribution, and made the engine work in thehigh-efficiency field and TM motor recovery the braking energy. In short,the control strategy can improve the fuel economy.

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