ISG型混合动力汽车模糊控制策略及仿真  

Fuzzy Control Strategy and Simulation for ISG-Type Hybrid Electric Vehicles

作　　者：胡洪祥[1] 秦大同[1] 舒红[1] 杨亚联[1] 丁李辉[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030

出　　处：《重庆大学学报（自然科学版）》2006年第11期1-5,共5页Journal of Chongqing University

基　　金：国家自然科学基金资助项目(50305037);重庆市科委自然科学基金资助项目(8718);教育部长江学者奖励计划

摘　　要：针对配备CVT的ISG型混合动力汽车,采用模糊控制策略对整车燃油经济性进行了研究.以整车瞬时状态为基础,燃油消耗最小为目标,建立了模糊控制器.为了消除模糊控制规则获取过程中的不确定性因素,以序列二次规划法的优化计算结果作为制定模糊控制规则的基础,制定了模糊控制规则.结合本文研究车型,对ADVISOR仿真软件进行二次开发,并对整车燃油经济性进行了仿真计算.仿真结果表明,模糊控制策略能够有效提高ISG型混合动力汽车的燃油经济性.Fuzzy control strategy is used to study the fuel economy of ISG-Type hybrid electric vehicle with CVT. Based on the instantaneous state of vehicle, the fuzzy logic controller is built aiming to get minimum fuel consumption. In order to avoid the subjective factor, the control rules are established with the optimized results from the sequence quadratic programming （SQP） method. Through the second development of ADVISOR, the simulation for ISG hybrid electric vehicle at different cycles has been accomplished. The results show that the fuzzy logic control strategy is efficient in improving the fuel economy of hybrid electric vehicle.

关 键 词：混合动力汽车 模糊控制策略 仿真ADVISOR 燃油经济性 

分 类 号：U469.2[机械工程—车辆工程]