中文摘要：

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．

英文摘要：

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.