能源管理
电池(电)
能源管理系统
电源管理
汽车工程
恒流
功率(物理)
电压
控制理论(社会学)
计算机科学
电气工程
工程类
能量(信号处理)
控制(管理)
人工智能
物理
统计
量子力学
数学
作者
Rong‐Jong Wai,Shih-Jie Jhung,Jun‐Jie Liaw,Yung‐Ruei Chang
标识
DOI:10.1109/tpel.2012.2219323
摘要
In this study, an intelligent optimal energy management system is designed for hybrid power sources including a fuel cell (FC) system and a battery module. In the proposed intelligent optimal energy management system, a simple fan temperature control is introduced to reduce the possible energy waste during the startup of the FC system. Moreover, a fuzzy hydrogen control is designed to manipulate the FC system stably and generate the same unit power with less hydrogen. In addition, a stable adaptive current-voltage fast-charging control is investigated to improve the charge speed in conventional constant current/constant voltage (CC/CV) scheme with proportional-integral control. The objectives of fast charging, energy saving, power source protection, and system stability assurance can be simultaneously achieved. Furthermore, the effectiveness of the proposed intelligent optimal energy management system is verified by experimental results. Its merits are indicated by comparing a conventional management system without the fan temperature control and with a fixed hydrogen pressure and a CC/CV charging framework.
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