摘要
建立了混合动力客车的数学模型,以及动态规划的目标函数、状态转移方程和迭代方程。提出基于状态转移概率的混合动力客车动态规划控制策略。基于状态转移概率对驾驶循环工况进行预测,使动态规划迭代过程中状态转移的燃油消耗为基于车速状态转移概率的加权平均值。改进后的控制策略可用于实时在线控制,无需预先得知驾驶循环工况,提高了动态规划的实时应用能力。台架试验结果表明,改进后的控制策略可以在线对发动机和电机所需转矩进行合理分配,使电池的电荷状态处于平衡状态且换挡平稳,优化了发动机工作点,提高了整车的燃油经济性。
A mathematical model for hybrid electric bus and the objective function,state transition equations and iterative equations of dynamic programming（ DP） are established and an improved DP control strategy for hybrid electric bus based on state transition probability is proposed. Driving cycle is predicted based on state transition probability,to make the fuel consumption by state transition in the process of DP iteration be the weighted mean based on the state transition probability of vehicle speed. The improved control strategy can be used for real time online control without given driving cycle,enhancing the real time application capability of DP. The results of bench test indicate that the improved control strategy can reasonably assign the required torques between engine and electric motor online,resulting in a balance of battery SOC,a smooth gear shift with the working points of engine optimized and the fuel economy of vehicle improved.
出处
《汽车工程》
EI
CSCD
北大核心
2016年第3期263-268,287,共7页
Automotive Engineering
基金
国家自然科学基金青年基金(51505414)
国家自然科学基金(51175449)
河北省高等学校科学研究项目(Z2015081)
国家自然科学基金青年基金(51406174)
燕山大学博士基金项目(B794)资助
