中国机械工程

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基于调速能量的EMCVT电动汽车全局优化

叶明;任洪;李鑫   

  1. 重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆,400054
  • 出版日期:2016-05-10 发布日期:2016-05-05
  • 基金资助:
    国家自然科学基金资助项目(51275549);重庆市科技攻关计划资助项目(cstc2012gg-yyjsB60002)

Global Optimization for Electric Vehicle Equipped with EMCVT Based on Shifting Energy

Ye Ming;Ren Hong;Li Xin#br#   

  1. Key Laboratory of Advanced Manufacturing Techniques for Automobile Parts,Ministry of Education,Chongqing University of Technology,Chongqing,400054
  • Online:2016-05-10 Published:2016-05-05
  • Supported by:

摘要: 综合考虑电机、电池、机电控制无级自动变速器效率,采用全局动态规划的方法,以电池荷电状态值为状态变量、变速器速比为决策变量,获取装备机电控制无级自动变速器的电动汽车在NEDC工况下的全局最优控制策略。建立了机电控制无级自动变速器调速模型,获取调速过程中的能量消耗。在全局优化控制策略的基础上,将调速能量消耗纳入指标函数,进一步优化无级变速器速比和电机扭矩。优化结果表明,采取所提出的优化策略可有效减少调速次数,进一步降低系统能量消耗。

关键词: 电动汽车, 机电控制CVT, 全局优化, 调速能量

Abstract: Integrating motor efficiency, battery state of charge (SOC) and EMCVT efficiency, the global optimization of EV equipped with EMCVT running in new Europe driving cycle (NEDC) was carried out based on dynamic programming. In this optimization, SOC and transmission ratio were state variable and decision variable respectively. Ratio shifting model was built to estimate energy consumption during shifting. New optimal control strategies were achieved by taking shifting energy consumption into cost function. With this control strategy, shift times and fuel consumed are both reduced.

Key words: electric vehicle(EV), electric-mechanical continuously variable transmission(EMCVT), global optimization, shifting energy

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