| 引用本文: | 付江涛,胡喆,强志尧,苑学广.自适应调整燃料电池混合动力汽车能量管理策略[J].控制理论与应用,2025,42(7):1388~1396.[点击复制] |
| FU Jiang-tao,HU Zhe,QIANG Zhi-yao,YUAN Xue-guang.Self-adaptive adjustment energy management strategy for fuel cell hybrid vehicle[J].Control Theory & Applications,2025,42(7):1388~1396.[点击复制] |
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| 自适应调整燃料电池混合动力汽车能量管理策略 |
| Self-adaptive adjustment energy management strategy for fuel cell hybrid vehicle |
| 摘要点击 2764 全文点击 285 投稿时间：2023-03-06 修订日期：2025-04-30 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30108 |
| 2025,42(7):1388-1396 |
| 中文关键词 燃料消耗 燃料电池混合动力汽车 能量管理策略 Metropolis-Hastings采样 庞特里亚金最小原理优化 |
| 英文关键词 fuel consumption fuel cell hybrid electrical vehicle energy management strategies Metropolis-Hastings sampling Pontryagin’s minimum principle optimization |
| 基金项目 国家自然科学基金项目(61473115), 多离合器ISG混合动力汽车分层多模式切换协调控制与优化项目资助. |
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| 中文摘要 |
| 针对燃料电池混合动力汽车(FCHEV), 提出一种基于庞特里亚金最小值原理(PMP)优化的自适应调整的分
层能量管理策略(EMS). 首先, 提出的EMS利用马尔可夫链Metropolis-Hastings(MC-MH)采样估计未来功率需求; 其
次, 根据超级电容器(SC)的充电状态(SOC)估计调整低通滤波器的参数; 最后, 基于庞特里亚金最小原理的优化实
现最佳的燃料经济性. 通过仿真和台架实验验证了所提出的EMS的有效性, 并将结果与采用动态规划(DP)方法的
全局等效燃料消耗量 EMS 进行比较. 结果表明, 本文所提出的 EMS 能够充分发挥 SC 的功能, 在仿真和台架实验中
分别提高 0.3%和8.8%的燃料经济性. |
| 英文摘要 |
| For the fuel cell hybrid electrical vehicle (FCHEV), a hierarchical energy management strategy (EMS) with
integrated self-adaptive adjustment and optimization based on Pontryagin’s minimum principle (PMP) is proposed. Firstly,
the proposed EMS uses Markov chain Metropolis-Hastings (MC-MH) sampling to estimate future power requirements;
Secondly, the parameters of the low-pass filter are adjusted according to the state of charge (SOC) of the super capacitor;
Finally, optimization based on the Pontryagins minimum principle achieves optimal fuel economy. The effectiveness of the
EMS is verified by simulation and bench test, and the results are compared with the globally equivalent fuel consumption
EMS with dynamic programming (DP). The results show that the proposed EMS can give full play to the function of the
SC and improve fuel economy by 0.3% and 8.8% in the simulation and bench test, respectively. |