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燃料电池汽车改进型状态机能量管理策略研究 被引量:1

Study on Improved State Machine Energy Management Strategy for Fuel Cell Vehicles
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摘要 车用燃料电池“电-电”混合动力能量管理系统优化可有效提升整车燃油经济性,并可增加燃料电池系统使用寿命。针对“燃料电池+蓄电池”混合动力系统,利用动态规划原理得出其在JN1015和MANHATTAN两种循环工况下的离线优化结果。分析并提取优化结果中分配给燃料电池的功率与需求功率之间的线性关系,建立一种改进型状态机能量管理策略。在NEDC和UDDS两种循环工况下,对提出的策略在MATLAB/Simulink环境中进行仿真验证,结果表明改进后的策略可达到与动态规划接近的最优效果,且其控制效果与离线最优的功率分配结果的相似度可达到96.83%和98.88%。 Automotive fuel cell hybrid power system has the promise of high fuel economy of fuel cell vehicles and can prolong the span of life of fuel cell systems.In this paper,the off-line optimization results under JN1015 and MANHATTAN driving cycles are obtained by using the dynamic programming for fuel cell/battery hybrid power systems.The linear relationship between the power of fuel cell and the required power is extracted in the optimization results,and an improved state machine energy management strategy is developed.The proposed EMS is verified by NEDC and UDDS driving cycles in MATLAB/Simulink.The results show that the proposed strategy can achieve optimal control effects approximate DP-based EMS,and the similarity between its control effect and offline optimal power distribution results can reach 96.83%and 98.88%respectively.
作者 丁阿鑫 张晨阳 沈英 DING Axin;ZHANG Chenyang;SHEN Ying(School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou,350108,China)
出处 《机械制造与自动化》 2021年第2期181-184,204,共5页 Machine Building & Automation
基金 福建省科技厅引导性项目(2017N0013)。
关键词 燃料电池汽车 动态规划 有限状态机 能量管理策略 fuel cell vehicles finite state machine dynamic programming energy management strategy
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