Journal of South China University of Technology (Natural Science Edition) ›› 2018, Vol. 46 ›› Issue (2): 65-72.doi: 10.3969/j.issn.1000-565X.2018.02.010

• Mechanical Engineering • Previous Articles     Next Articles

Longitudinal Dynamic Analysis and Parameter Optimization of Electric Vehicle Driven by In-wheel Motor
 

 ZUO Shuguang LI Duoqiang MAO Yu WU Xudong    

  1.   Clean Energy Automotive Engineering Center,Tongji University,Shanghai 201804,China
  • Received:2017-02-28 Revised:2017-09-20 Online:2018-02-25 Published:2018-01-02
  • Contact: 吴旭东( 1983-) ,男,助理教授,主要从事汽车振动、噪声及系统动力学研究 E-mail:wuxudong@tongji.edu.cn
  • About author:左曙光( 1968-) ,男,教授,博士生导师,主要从事汽车系统动力学与控制研究
  • Supported by:
     Supported by the National Natural Science Foundation of China ( 51375343)

Abstract:  The in-wheel motor produces torque ripple,which exerts the wheel boss directly. It causes the longitudinal dynamic problems,such as fluctuation of tire slip rate and longitudinal force. Accordingly, the model characteristic of electric wheel is firstly analyzed and three indexes are proposed to evaluate the longitudinal performance of electric wheel. Secondly, the sensitivity of system parameter is analyzed,and the law is detected of longitudinal acceleration which is mainly affected by the mass of vehicle body and in-wheel motor. The error of slip ratio and fluctuation of load torque depend on mass parameters,circumferential rigidity of tire and tread rigidity. Finally, the parameter optimization determines the improvement of the parameter value of the three indexes and it is found that parameter optimization is able to cause each index to be radically reduced in maximum value under the condition of corresponding models. 

Key words: electric wheel system, longitudinal vibration, dynamic index, sensitivity, parameter optimization 

CLC Number: