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基于模糊逻辑的电动汽车制动能量回馈系统
引用本文:张健,王耀南,曹松波.基于模糊逻辑的电动汽车制动能量回馈系统[J].交通与计算机,2005,23(4):3-7.
作者姓名:张健  王耀南  曹松波
作者单位:湖南大学,长沙,410082
基金项目:湖南省“十五”科技重大专项攻关项目资助(批准号:02GKY1003)
摘    要:分析了电动汽车制动能量回馈的特点,针对电动汽车制动能量回馈时强鲁棒性的需求,设计了一种基于Sugeno模糊逻辑的制动能量回馈系统,以满足能量回馈的要求,该回馈系统提高了整车的制动性能以及续驶里程,也使整车的动力性、安全性和舒适性达到较好的平衡,文章同时估算了这种控制策略的能量回收效率。经仿真和实际测试,结果表明所提策略满足总体设计的性能指标要求。

关 键 词:制动能量回馈  模糊逻辑  混合动力汽车
收稿时间:04 8 2005 12:00AM
修稿时间:2005年4月8日

Electric Vehicle Regenerative Braking Power System Based on Fuzzy Logic
ZHANG Jian,WANG Yaonan,CAO Songbo.Electric Vehicle Regenerative Braking Power System Based on Fuzzy Logic[J].Computer and Communications,2005,23(4):3-7.
Authors:ZHANG Jian  WANG Yaonan  CAO Songbo
Abstract:The characteristics of the regenerative braking power in EV and HEV are analyzed in this paper. According to the characteristics of robustness in regenerative braking, a system based on Sugeno fuzzy logic is developed to meet the requirement of regenerative braking in EV, thus enhancing the capability of braking and mileage, and making it balance during the power performance, security and comfort while driving. The energy recovery efficiency of the proposed control strategy is also evaluated. The results of simulation and test show that the strategy can significantly satisfy the performance index of the whole design.
Keywords:regenerative braking power  fuzzy logic  hybrid electric vehicle
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