摘要
为实现ISG混合动力汽车燃油消耗和排放性能的优化,提出了一种实时转矩分配模型的建立方法.根据发动机的万有特性和ISG电机效率特性进行了混合动力系统性能的数值模拟,采用求解多元函数极值的方法确定混合动力汽车最佳工作点,作为ANFIS系统的先验知识,建立实时转矩分配控制模型,并对整车性能进行仿真.仿真结果表明,车辆经济性和排放性能得到优化,转矩分配模型的有效性得到验证.
In order for ISG hybrid electric vehicles to reduce fuel consumption and emissions, a controller model for timely distributing driving torque to the internal combustion engine and ISG motor based on the adaptive neuralfuzzy inference system （ANFIS） algorithm is established. The performance model of the vehicle is based on the characteristics of internal combustion engine and ISG motor. Data of optimal operating points for training ANFIS system is obtained by finding the extremum of a multivariable function. An ANFIS system is designed and developed to control the torque distribution for ISG hybrid vehicles. Simulation results show improved performance and validity of the energy management strategy based on ANFIS.
出处
《应用科学学报》
CAS
CSCD
北大核心
2008年第5期541-546,共6页
Journal of Applied Sciences
基金
国家"863"高技术研究发展计划资助项目(No.2006AA11A109)
关键词
ISG混合动力汽车
转矩分配
最佳工作点
ISG hybrid electric vehicles, torque distribution, optimal operating points
