摘要
以并联混合动力系统的工作模式为基础,结合发动机和电机的性能特性,利用需求转矩与发动机最佳转矩之差和电池电荷状态(SOC)作为输入,以发动机实际输出和最佳转矩值的比值作为输出,构建了模糊推理规则和推理器,用以确定发动机和电机的最佳转矩分配,实现系统的总体能量转换效率最高。仿真结果表明,与采用精确门限参数的策略相比,所设计的模糊逻辑转矩管理策略的燃油经济性有较大提高,并能控制电池SOC在工作区保持稳定。
Based on the operating modes of parallel hybrid powertrain and the attribute of engine and electric motor, a fuzzy logic-based control model was built by using the difference between the requested torque and optimal engine torque and the battery State - of- Charge （SOC） as inputs, and the proportion of output engine torque to optimal engine torque as the output. It works as the kernel of a fuzzy torque distribution controller determines the optimal torque distribution between the engine and the electric motor to optimize the overall energy conversion efficiency of the PHEV.The simulation results reveal that compared with the con- ventional strategy which uses precise threshold parameters, the proposed fuzzy logic-based control model improves fuel economy and maintains battery SOC within its steady operation range more effectively.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2008年第4期561-564,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
天津市自然科学基金资助项目(023800911)
关键词
混合动力汽车
转矩管理策略
模糊逻辑
整车性能仿真
hybrid electric vehicle
torque management strategy
fuzzy logic
vehicle simulation
