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作 者:郑晨飞 姚晓山[3] 曹晓雨 黄震 严彦 ZHENG Chenfei;YAO Xiaoshan;CAO Xiaoyu;HUANG Zhen;YAN Yan(SAIC General Motors Co., Ltd. Wuhan Branch, Wuhan, Hubei 430070, China;School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China;Air Force Early Warning Academy, Wuhan, Hubei 430070, China;Dongfeng Motor Corporation Technology Center, Wuhan, Hubei 430070, China)
机构地区:[1]上汽通用汽车有限公司武汉分公司,湖北武汉430070 [2]武汉理工大学汽车工程学院,湖北武汉430070 [3]空军预警学院,湖北武汉430070 [4]东风汽车集团股份有限公司技术中心,湖北武汉430070
出 处:《江苏大学学报(自然科学版)》2021年第1期22-27,共6页Journal of Jiangsu University:Natural Science Edition
基 金:国家“863”计划项目(2011AA11A260)。
摘 要:以一款国产燃油汽车为平台,确定了两轴驱动混合动力系统的结构形式,基于逻辑门限值的整车控制策略,研究了整车在不同驾驶工况下的工作模式以及转矩分配情况,采用Matlab/Simulink软件,对整车控制策略进行建模.在性能优化方面,以发动机100 km耗油量和驱动电动机100 km耗电量为优化目标,以车辆后轴的结构参数以及控制策略参数为优化变量,利用经过改进的非支配排序遗传算法(NSGA-Ⅱ),采用Isight优化软件,进行了整车动力系统的优化计算,并借助AVL Cruise和Matlab/Simulink对整车的经济性和动力性进行了仿真分析.结果表明:优化后整车动力性能与优化前基本保持一致,整车综合能耗降低了5.4%.With a traditional fuel vehicle as research platform,the structure of the two-axle drive hybrid power system was determined.The vehicle control strategy was selected based on the logic threshold,and the all work modes and the torque distribution of vehicle were investigated.The model of the vehicle control strategy was established by Matlab/Simulink.To minimize the fuel consumption per hundred kilometers of engine and the power consumption per hundred kilometers of drive motor,the improved non-dominated sorting genetic algorith(NSGA-Ⅱ)was proposed to optimize the structural parameters and control strategy parameters of the rear axle of vehicle by the optimization software of Isight.The vehicle simulation model was established by AVL Cruise and Matlab/Simulink,and the economic and dynamic proferties of vehicle were simulated.The optimization results show that the overall vehicle dynamic performance is basically consistent with that before optimization,and the overall energy consumption of vehicle is reduced by 5.4%.
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