汽车工程 ›› 2018, Vol. 40 ›› Issue (6): 625-.doi: 10.19562/j.chinasae.qcgc.2018.06.001

• •    下一篇

插电式混合动力公交车电池配置和能量管理策略协同优化的研究

解少博,辛宗科,李会灵,刘通,魏朗   

  • 出版日期:2018-06-25 发布日期:2018-06-25

A Study on Coordinated Optimization on Battery Capacity and Energy Management Strategy for a Plug in Hybrid Electric Bus

Xie Shaobo, Xin Zongke, Li Huiling, Liu Tong & Wei Lang   

  • Online:2018-06-25 Published:2018-06-25

摘要: 本文针对一款插电式混合动力城市客车,以电池购置成本和使用过程中的能耗成本两者构成的综合成本最小化为目标,进行电池电量选择和能量管理策略的协同优化。首先,设计了双环优化流程,外环为不同电量电池组的选择,内环则施行选定电池组下基于庞特里亚金极小值原理(PMP)的能量管理策略。基于中国典型城市客车运行循环进行仿真分析。结果表明,以综合成本最小化为目标的PHEB的最优电池组配置受行驶里程需求、电池单价等多种因素的影响。最后,基于一组选定的电池组,分别应用PMP、动态规划、电量消耗电量维持策略和等效能耗最小化策略进行能量管理的对比仿真,得到了4种策略的能耗特征。

关键词: 插电式混合动力城市客车, 电池容量, 能量管理策略, 协同优化, 庞特里亚金极小值原理, 动态规划

Abstract: In this paper, the selection of battery capacity and a coordinated optimization on energy management strategy are conducted for a plugin hybrid electric bus (PHEB) with minimizing the overall cost (consisting of battery purchase cost and energy consumption cost during operation) as objective. Firstly a biloop optimizing procedure is devised, in which the outer loop is for choosing battery with different capacities while the inner loop performs the energy management strategy based on Pontryagins minimum principle (PMP) with the battery pack chosen. Then a simulation is conducted based on Chinese typical urban citybus driving cycle and the results show that the optimal battery pack capacity of PHEB is affected by multiple factors including the required driving range and the unitprice of battery etc. Finally, with the battery pack chosen, a comparative simulation on energy management is carried out with strategies of PMP, dynamic programming, chargedepleting / chargingsustaining and equivalent energy consumption minimization strategy respectively, and the energy consumption characteristics of four strategies are obtained.

Key words: plug in hybrid electric bus, battery capacity, energy management strategy, coordinated optimization, Pontryagins minimum principle, dynamic programming