| 引用本文: | 付江涛,司秀丽,来国梁,刘佳豪.考虑温度影响的FCHEV等效燃油消耗最优控制策略[J].控制理论与应用,2025,42(12):2508~2516.[点击复制] |
| FU Jiang-tao,SI Xiu-li,LAI Guo-liang,LIU Jia-hao.Best equivalent hydrogen consumption control strategy for fuel cell vehicle considering temperature affection[J].Control Theory & Applications,2025,42(12):2508~2516.[点击复制] |
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| 考虑温度影响的FCHEV等效燃油消耗最优控制策略 |
| Best equivalent hydrogen consumption control strategy for fuel cell vehicle considering temperature affection |
| 摘要点击 105 全文点击 16 投稿时间：2024-05-30 修订日期：2025-04-13 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40306 |
| 2025,42(12):2508-2516 |
| 中文关键词 混合动力电动汽车(HEV) 燃料电池系统 优化控制 荷电状态(SOC) 功率需求预测 等效燃油经济性 |
| 英文关键词 hybrid electric vehicle (HEV) fuel cell system optimal control state of charge (SOC) power requirement prediction equivalent fuel economy |
| 基金项目 国家自然科学基金项目(61473115)资助. |
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| 中文摘要 |
| 燃料电池堆(FCS)是新能源汽车应用的一种主要能源,等效燃油经济性是许多研究人员关注的问题.本文
提出了一种自适应的实施控制策略,通过在燃料电池和动力电池之间进行功率需求的分配,实现最优的等效燃油经
济性. 为了在控制策略中体现温度的影响,建立了包含热模型的FCS模型以及包含了温度的动力电池模型.通过贝
叶斯估计理论预测未来的功率需求.基于FCS模型、电池模型和预测的功率需求,设计了实时控制策略,并在优化范
围内以庞特里亚金最小化原理进行优化.通过仿真和硬件在环(Hil)实验在40kW的FCS上验证了所提出的控制策
略. 通过和基于规则的策略(RB)以及和最小损失策略(LMS)的对比表明,在考虑温度影响的情况下,本文所提出的
控制策略可以有效地将等效燃料消耗降低4%. |
| 英文摘要 |
| Fuel cell stack (FCS) is one of the primary energy sources for the application of new energy vehicles, and the
equivalent fuel economy is a focal point of concern for many researchers. This article proposes an adaptive implementation
control strategy to achieve optimal equivalent fuel economy by allocating power demand between the fuel cell and the power
battery. In order to incorporate the influence of temperature into the control strategy, an FCS model with a thermal model
and a power battery model considering temperature are established. Bayesian inference is employed to analyze and predict
future power demand. Based on the FCS model, battery model, and predicted power demand, a real-time control strategy
is designed, and optimization is conducted within the Pontryagin minimum principle. The proposed control strategy is
validated through simulations and hardware-in-the-loop (Hil) experiments on an FCS with power of 40 kW. Comparison
with rule-based control strategy and loss minimum strategy indicates that, considering the influence of temperature, the
proposed control strategy effectively reduces equivalent fuel consumption by 4%. |
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