Control Strategies of Handling Improvement of Distributed Drive Electric Vehicle
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1.Automotive College,Tongji University;2.Clean Energy Automotive Engineering Center, Tongji University,1.Automotive College,Tongji University;2.Clean Energy Automotive Engineering Center, Tongji University,1.Automotive College,Tongji University;2.Clean Energy Automotive Engineering Center, Tongji University,1.Automotive College,Tongji University;2.Clean Energy Automotive Engineering Center, Tongji University,1.Automotive College,Tongji University;2.Clean Energy Automotive Engineering Center, Tongji University

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U426

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    Abstract:

    A control strategy of Handling improvement was proposed for the distributed drive electric vehicle with electric motored wheels which featured the independent and accurate driving/braking of individual wheel. Considering the ideal assistant power character curve under different vehicle velocities, a control strategy of differential drive assist steering was developed, as well as the torque vectoring control strategy according to the optimized reference model of yaw rate. A joint control strategy which was a combination of the differential drive assisted steering strategy and torque vectoring control strategy was presented based on a longitudinal force distribution algorithm. The results of vehicle tests indicate that on the premise to guarantee the road feeling, with the joint control strategy the steering torque and angle are decreased markedly, which means the workload of driver is lowered. The yaw rate response is enhanced obviously, the accelerating understeer is restrained effectively and the handling of the distributed drive electric vehicle is improved significantly.

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YU Zhuoping, LIU Jun, XIONG Lu, FENG Yuan. Control Strategies of Handling Improvement of Distributed Drive Electric Vehicle[J].同济大学学报(自然科学版),2014,42(7):1088~1095

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History
  • Received:July 24,2013
  • Revised:March 22,2014
  • Adopted:February 07,2014
  • Online: June 23,2014
  • Published:
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