混合动力汽车与传统车有很大区别，目前的混合动力AMT多采用传统的单参数或双参数换档规律，难以充分发挥混合动力的优势。基于简化后混合动力系统模型，建立了混合动力客车燃油经济性、排放性最优和换档频率较低的目标泛函，并设计了基于动态规划的新型求解算法。最后得出了在中国典型城市公交循环工况下的最优换档决策序列。在中国典型城市公交工况下分别使用传统双参数和基于动态规划的换档决策进行仿真和实车试验，结果表明混合动力公交客车应用最优换档决策序列后，其燃油经济性有了明显提高，换档次数明显减少。

Most HEBs with AMT adopt the traditional single or two parameter shift schedule,however,HEB is very different from traditional bus,this approach cannot make full use of the advantage of hybrid. In order to obtain the optimal fuel economy,emission and low shift frequency, an objective functional is established for hybrid electric bus based on simplified models of hybrid system,and a new solving algorithm based on dynamic programming (DP)is also presented. In the end,the best shift decision points in Chinese typical urban transit bus driving-cycle are obtained. After comparison between the traditional two parameter shift schedule and the shift decision based on DP,it’s proved that the best shift decision points can improve the fuel economy of the HEB obviously through simulation and road test under Chinese typical urban transit bus driving-cycle,and the number of gear shift is also obviously reduced.

国家高技术研究发展计划项目(2011AA11A206)