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纯电动汽车再生制动系统的建模与仿真 被引量:27

Modeling and Simulation of Regenerative Braking System for Pure Electric Vehicle
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摘要 为提高纯电动汽车的再生制动能量回收率,通过分析制动系统的工作原理,建立了纯电动汽车制动力分配的数学模型,并根据制动强度和储能元件荷电状态的大小,设计了基于模糊逻辑的制动力分配控制策略,以实现制动能量的高效回收利用。结合典型道路循环工况,利用电动汽车仿真软件ADVISOR2002对制动力分配的模糊控制策略进行了整车运行仿真验证。结果表明,该制动力分配控制策略改善了制动能量回收率,有利于合理利用其有限的能量延长电动汽车的续驶里程。 In order to enhance the recycling efficiency of regenerative braking energy for pure electric vehicles(PEV),the braking system model of PEV is proposed on the basis of analyzing the braking operation principle.Together with the braking severity and the state of charge(SOC) of energy storage element,a novel control strategy of braking force distribution based on fuzzy logic is designed,which can realize the high efficiency recycling of braking energy.The simulation of the fuzzy control strategy for braking force distribution is carried out in typical driving cycle by the electric vehicle simulation software ADVISOR2002.The simulation results show that the braking force distribution control strategy can improve the recycling efficiency of regenerative braking energy,and prolong PEV's driving range by rational use of the limited energy.
出处 《武汉理工大学学报》 CAS CSCD 北大核心 2010年第15期90-94,98,共6页 Journal of Wuhan University of Technology
关键词 纯电动汽车 再生制动系统 制动力分配 控制策略 pure electric vehicle regenerative braking system braking force distribution control strategy
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  • 1过学迅,张靖.混合动力电动汽车再生制动系统的建模与仿真[J].武汉理工大学学报(信息与管理工程版),2005,27(1):116-120. 被引量:29
  • 2Gao Yimin,Chen Liping,Ehsani Mehrdad.Investigation of the effectiveness of regenerative braking for EV and HEV[J].SAE,1999,29(10):26-28.
  • 3Gao Hongwei,GAO Yimin,Ehsani Mehrdad.A neural based SRM drive control strategy for regenerative braking in EV and HEV[C].IEEE International Electric Machines and Drives Conference,2001.571-575.
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