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作 者:李志豪[1] 阮喻[1] 沈卫东[1] 杜明磊[1] 李勇[1]
机构地区:[1]重庆通信学院,重庆400035
出 处:《移动电源与车辆》2016年第1期31-36,50,共7页Movable Power Station & Vehicle
基 金:重庆市应用开发计划重大项目(cstc2013yykfc60002)
摘 要:为了增加混动汽车行驶里程,提高制动能量回收控制系统的回收效率,依据前、后轮制动力分配曲线算法,采用模糊控制理论,研究再生制动力与摩擦制动力的分配。在Matlab/Simulink环境下搭建基于Mamdani型模糊控制器的制动能量回收仿真模型,再把该模型嵌入到Advisor仿真环境中,在CYC_UDDS道路工况下进行仿真,与Advisor软件自带缺省制动力分配算法仿真比较,得出:采用基于模糊逻辑的制动能量回收控制策略后,蓄电池SOC值提高了7%,验证了基于模糊逻辑的制动能量回收控制策略的有效性。In order to increase the hybrid electric vehicle (HEV) driving distance and improve recovery ciency of braking energy recovery system, according to the algorithm of the front and the rear wheel braking effi- force distribution curve, using fuzzy control theory, the distribution between regenerative braking force and frictional bra- king force is studied. Based on the fuzzy controller of Mamdani, the braking energy recovery simulation model is es- tablished in the Matlab/Simulink environment,put this model into the advisor simulation environment, a simulation in the CYC_UDDS road condition is performed and compared indicate that utilizing the braking energy recovery control with the counterpart in advisor software. The results strategy based on the fuzzy logic, battery SOC value in- creased by 7%, braking energy recovery based on fuzzy logic is verified the effectiveness.
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