| 基于粒子群优化模糊控制器的电动汽车再生制动控制策略研究 |
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| 引用本文： | 谢长君,全书海,姚玲.基于粒子群优化模糊控制器的电动汽车再生制动控制策略研究[J].武汉理工大学学报(交通科学与工程版),2008,32(4). |
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| 作者姓名： | 谢长君 全书海 姚玲 |
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| 作者单位： | 武汉理工大学自动化学院,武汉,430070 |
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| 摘 要： | 为提高电动汽车一次续驶里程,引入双锂离子电池组供电模式和电机再生制动能量回收系统,设计电动汽车的动力系统结构.通过对电动汽车制动模式进行分析,提出了基于粒子群优化算法的电机制动力矩模糊控制策略,并给出粒子群优化策略的算法实现.通过硬件在环仿真,证实了该控制策略能提高能量利用率.
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| 关 键 词： | 电池组充放电模式 粒子群优化 模糊控制策略 硬件在环仿真 |
Research on Control Strategy of Regenerative Braking in Electric Vehicle Based on Particle Swarm Optimization Fuzzy Logical Controller |
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| Xie Changjun,Quan Shuhai,Yao Ling.Research on Control Strategy of Regenerative Braking in Electric Vehicle Based on Particle Swarm Optimization Fuzzy Logical Controller[J].journal of wuhan university of technology(transportation science&engineering),2008,32(4). |
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| Authors: | Xie Changjun Quan Shuhai Yao Ling |
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| Institution: | School of Automation;Wuhan University of Technology;Wuhan 430070 |
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| Abstract: | In order to increase the driving range of electric vehicle in one charge,a structure of power system is designed by applying power supply model of two Li-ion battery series and control system for regenerative braking in electric vehicle.By analyzing vehicle braking scheme,adaptive choice control strategy on charge and discharge model of battery series is proposed,and then,fuzzy control strategy for motor braking torque based on Particle Swarm Optimization algorithm is built.Especially,algorithm process abou... |
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| Keywords: | charge and discharge model of battery series particle swarm optimization fuzzy control strategy the hardware in the loop simulation |
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