New dynamic modeling of a real embedded metal hydride hydrogen storage system
New dynamic modeling of a real embedded metal hydride hydrogen storage system
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DOI：
10.1016/j.ijhydene.2019.02.087
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发表时间：
2019-11
影响因子：
7.2
通讯作者：
D. Zhu;Y. Ait-Amirat;A. N'Diaye;A. Djerdir
中科院分区：
文献类型：
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作者：
D. Zhu;Y. Ait-Amirat;A. N'Diaye;A. Djerdir
在这项工作中，基于燃料电池电动汽车运行实验收集的数据库，研究了带有商用金属氢化物罐的车载储氢系统的动态响应。建立了考虑温度控制系统测量的传热的数学模型来分析操作过程中的吸收和解吸反应。作为填充未知金属氢化物的密封容器，实际使用的储氢罐是嵌入式存储系统中的灰盒。在没有材料特性、当前运行状态和退化程度等信息的情况下，模型的参数是不确定的。应用粒子群优化（PSO）算法来搜索最优参数集。利用这些参数对储氢系统模型的仿真结果与不同温度条件下的实际运行数据吻合较好；最大误差低于9%。
In this work, the dynamic responses of the on board hydrogen storage system with commercially available metal hydride tanks are investigated based on the database collected from fuel cell electric vehicles operation experiments. A mathematical model considering the heat transfer measured by the temperature control system is developed to analyze the absorption and desorption reaction during operation. As a seal container filled with unknown metal hydride, the practical used hydrogen storage tank is a gray box in the embedded storage system. Without the information about characteristics of material, current operation state and degradation degree, the parameters of the model are uncertain. Particle swarm optimization (PSO) algorithm is applied to search for the optimal parameter set. The simulation results of the hydrogen storage system model using these parameters show great agreements with the real operating data under different temperature conditions; the maximal error is lower than 9%.