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作 者:袁师召 李军[1] 周舟[2] YUAN Shizhao;LI Jun;ZHOU Zhou(School of Mechanotronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China;China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, China)
机构地区:[1]重庆交通大学机电与车辆工程学院,重庆400074 [2]中国汽车工程研究院股份有限公司,重庆401122
出 处:《合肥工业大学学报(自然科学版)》2022年第2期158-164,共7页Journal of Hefei University of Technology:Natural Science
基 金:国家自然科学基金资助项目(51305472);重庆市轨道交通车辆系统集成与控制重点实验室资助项目(CSTC2015yfpt-zdsys30001)。
摘 要:制动能量回收对增加纯电动汽车续驶里程具有重要作用,文章根据驾驶员制动操纵中制动踏板开度、制动踏板开度变化率的变化特点和特性,使用模糊推理工具搭建Simulink制动意图识别模型,将驾驶员制动意图分为小强度、中度、大强度以及紧急制动4种制动强度,并基于电机特性、理想制动力分配曲线以及欧洲经济委员会(Economic Commission for Europe,ECE)法规等约束提出一种再生制动控制策略以满足电机效率最优要求,提高制动能量回收。Matlab/Simulink与AVL Cruise仿真结果表明,该控制策略能够在车辆制动时回收更多能量,在100 km/h初始车速单次制动工况中小强度、中等强度、大强度制动下制动能量回收分别提高了3.44%、4.61%、2.03%。Braking energy recovery plays an important role in increasing the driving range of pure electric vehicles.According to the characteristics of brake pedal opening and the change rate of brake pedal opening in driver’s braking control,this paper uses the fuzzy reasoning tool to build the Simulink braking intention recognition model,and divides the driver’s braking intention into four kinds of braking strength:low intensity,medium intensity,high intensity and emergency braking.Based on the motor characteristics,ideal braking force distribution curve and regulations of Economic Commission for Europe(ECE),a regenerative braking control strategy is proposed to meet the optimal requirements of motor efficiency and improve braking energy recovery.The simulation results of Matlab/Simulink and AVL Cruise show that the control strategy can recover more energy when the vehicle is braking,and the energy recovery level increases by 3.44%,4.61%and 2.03%respectively under the condition of low intensity,medium intensity and high intensity braking at the initial speed of 100 km/h.
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