尺寸
汽车工程
能源管理
电池(电)
混合动力系统
储能
超级电容器
电源管理
功率(物理)
能源管理系统
计算机科学
燃料效率
混合动力
计算机数据存储
工程类
能量(信号处理)
计算机硬件
物理化学
视觉艺术
电化学
艺术
化学
物理
机器学习
统计
数学
电极
量子力学
作者
Hui Chen,Zehui Zhang,Cong Guan,Haibo Gao
出处
期刊:Energy
[Elsevier]
日期:2020-04-01
卷期号:197: 117285-117285
被引量:96
标识
DOI:10.1016/j.energy.2020.117285
摘要
The fuel cell is generally coupled with the hybrid energy storage system (HESS) to improve power system dynamic performance and prolong the fuel cell lifetime. Therefore, the sizing of HESS and design of energy management strategy (EMS) have already become key research points. Based on support vector machine and frequency control, a novel EMS is proposed. As the sizing of HESS and the design of energy management strategy have a strong inner link, a multi-objective optimization method for the HESS and EMS is proposed. After that, simulations are used to compare the performance of the optimal hybrid power system. Compared with the different hybrid power system structures, the optimal HESS can meet power demand and reduce the cost of the energy storage device. Compared with the rule-based energy management strategy, the energy consumption of the optimal hybrid power system reduces 5.4%, and improves power quality and prolongs the device life. The results indicate that the proposed method can achieve excellent performance and is easily applied.
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