Multi-objective energy management optimization and parameter sizing for proton exchange membrane hybrid fuel cell vehicles
Multi-objective energy management optimization and parameter sizing for proton exchange membrane hybrid fuel cell vehicles
复制标题
质子交换膜混合燃料电池汽车多目标能量管理优化及参数调整
DOI：
10.1016/j.enconman.2016.09.082
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发表时间：
2016-12
影响因子：
10.4
通讯作者：
Gaihong Kou
中科院分区：
文献类型：
--
作者：
Zunyan Hu;Jianqiu Li;Liangfei Xu;Ziyou Song;Chuan Fang;Minggao Ouyang;Guowei Dou;Gaihong Kou
典型的质子电解质膜混合燃料电池汽车的动力系统由锂电池组和燃料电池组组成。本文讨论了考虑燃油经济性和系统耐久性的客车动力总成系统多目标优化问题。在分析动态规划优化结果的基础上，提出了一种用于实时多目标控制算法设计的软运行策略。在考虑锂电池容量的基础上，对软运行策略进行了优化，并用两种实时算法实现了软运行策略。与优化后的动态规划结果相比，基于功率需求的控制方法更适用于配备大容量蓄电池的动力总成系统，而基于荷电状态的控制方法在其他情况下更具优势。在此基础上，综合考虑锂电池尺寸和当量氢耗，对寿命周期成本进行了优化。事实证明，当动力总成系统配备更大容量的电池时，电池容量的选择更加灵活。最后，在燃料电池城市公交车上对该算法进行了验证。在三个月的示范运行中，取得了燃油经济性和系统耐用性的良好平衡。
The powertrain system of a typical proton electrolyte membrane hybrid fuel cell vehicle contains a lithium battery package and a fuel cell stack. A multi-objective optimization for this powertrain system of a passenger car, taking account of fuel economy and system durability, is discussed in this paper. Based on an analysis of the optimum results obtained by dynamic programming, a soft-run strategy was proposed for real-time and multi-objective control algorithm design. The soft-run strategy was optimized by taking lithium battery size into consideration, and implemented using two real-time algorithms. When compared with the optimized dynamic programming results, the power demand-based control method proved more suitable for powertrain systems equipped with larger capacity batteries, while the state of charge based control method proved superior in other cases. On this basis, the life cycle cost was optimized by considering both lithium battery size and equivalent hydrogen consumption. The battery capacity selection proved more flexible, when powertrain systems are equipped with larger capacity batteries. Finally, the algorithm has been validated in a fuel cell city bus. It gets a good balance of fuel economy and system durability in a three months demonstration operation.
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