Efficient Multidimensional Dynamic Programming-Based Energy Management Strategy for Global Composite Operating Cost Minimization for Fuel Cell Trams
Efficient Multidimensional Dynamic Programming-Based Energy Management Strategy for Global Composite Operating Cost Minimization for Fuel Cell Trams
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DOI：
10.1109/tte.2021.3120425
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发表时间：
2022-06
影响因子：
7
通讯作者：
Xiang Meng;Qi Li;Guorui Zhang;Wei-rong Chen
中科院分区：
文献类型：
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作者：
Xiang Meng;Qi Li;Guorui Zhang;Wei-rong Chen
能量管理是提高混合动力系统性能的关键。目前认为，在已知运行条件下，基于全局优化的能量管理策略(EMS)具有最好的优化效果。然而，传统的基于全局优化的EMS往往非常耗时，给调试和获得最优解带来了极大的不便。此外，在文献中，大多数工作仍然只将油耗引入到目标函数中，而没有考虑燃料电池的耐久性。为了弥补这些不足，本文在混合动力系统建模的基础上，首次提出了一种综合考虑燃料消耗和燃料电池购买成本折旧的全局综合运行成本最小化策略。然后，本文提出了计算高效的多维动态规划(EMDP)来求解所研究问题的最优控制轨迹。最后，基于半实物仿真平台，对本文提出的EMDP算法和CMS策略与传统的EMDP算法和CMS策略进行了对比测试。结果表明，与传统的动态规划算法相比，EMDP算法能有效地提高计算速度。此外，所提出的CMS策略将主要通过降低燃料电池的降解成本来降低运营成本，从而也可以延长燃料电池的寿命。
Energy management is key to improve the performance of hybrid system. At present, the global optimization-based energy management strategy (EMS) is considered to have the best optimization effect under a known operating condition. However, the traditional global optimization-based EMS is often very time-consuming, which brings great inconvenience to debug and obtain the optimal result. Besides, in the literature, most works still introduce only the fuel consumption into the objective function while failing to consider the durability of fuel cells. In order to make up for these shortcomings, based on the modeling of hybrid system, this article first proposes a global composite operating cost minimization strategy (CMS) both considering fuel consumption and depreciation of purchase cost of fuel cells. Then, this article proposes computationally efficient multidimensional dynamic programming (EMDP) to resolve the optimal control trajectory of the studied issue. Finally, based on the hardware-in-the-loop platform, this article carries out comparative tests of the proposed EMDP algorithm and CMS strategy with traditional ones. Results show that the EMDP algorithm can effectively speed up the computation compared with the traditional dynamic programming. Besides, the proposed CMS strategy would lead to lower operating cost mainly by reducing the degradation cost of fuel cells so that the lifetime of fuel cells could also be extended.