基于动态规划的PHEV全程能量管理策略研究

Research on trip based optimal power management for plug-in hybrid electric vehicles

在电动汽车仿真平台上,根据实际车型及技术现状合理地设置动力参数,搭建了外接充电式混合动力电动汽车(PHEV)整车模型,在此基础上,结合PHEV的特点,分析了PHEV的控制系统结构,提出了一种以提高燃油经济性为目标的全新的基于动态规划(DP)的PHEV全程能量控制策略。该策略突破了目前PHEV采用的电量消耗-电量保持模式的能量优化管理思路。为了最大限度地使用电池能量,以电池荷电状态(SOC)在路程起点处达到上限值,在终点达到安全下限值为限制条件,运用动态规划算法使得全程燃料经济性最高。仿真结果表明,与传统的能量管理策略相比,基于DP的全程能量管理可大大提高燃料经济性。

The paper proposes a novel dynamic programming-based whole-trip power management strategy for plug-in hybrid electric vehicles （PHEVs） after the construction of a H-IEV model on the electric vehicle simulation platform based on se-lecting rational dynamics parameters, with the purpose of economizing fuel. Different from the present charge-depletingcharge sustaining power management strategy for PHEVs, the new trip based optimal power management strategy gives the limitation that the state of charge （SOC） reaches the maxim level at the starting point trip and reaches the healthy lowest level at the destination of the trip, and uses the dynamic progamming algorithm to economize fuel. The simulation results demonstrates the new strategy can greatly economize fuel compared with the present method.