Chaos embedded particle swarm optimization algorithm-based solar optimal ReflexTM frequency charge

勤益科大機構典藏 > 電資學院 > 電機工程系(所) > 【電機工程系所】期刊論文 > Item 987654321/5873

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题名:	Chaos embedded particle swarm optimization algorithm-based solar optimal ReflexTM frequency charge
作者:	Jui-Ho Chen, Her-Terng Yau, Jin-Han Lu
贡献者:	圖書館
关键词:	CPSO ReflexTM Charge SOC
日期:	2015-04
上传时间:	2016-10-17
摘要:	The battery temperature rise and charge efficiency during the long-term charge in the sun are a very important topic. The traditional common constant current and constant voltage result in quick temperature rise and influence the charge efficiency indirectly. Therefore, the ReflexTM charge is adopted, the chemical reaction of electrolyte is buffered during discharge, so that the battery temperature rises slightly during charge. However, there is no optimum frequency for switching loss and charge efficiency during ReflexTM charge. Therefore, this paper proposes using chaos embedded particle swarm optimization algorithm (CPOS) to minimize the switching loss of battery in charge and discharge conditions. The battery module in Matlab/Simulink environment is used for solar charge, multiple charge modes are compared with traditional common methods. The simulation results show that the ReflexTM method has improved the battery temperature in Matlab/Simulink, and the State of Charge (SOC) is equivalent to other charge modes. It is proved that the method proposed in this paper has significant effect on switching loss and oscillation, and its charge efficiency is equivalent to traditional quick charge
關聯:	Journal of Applied Research and Technology
显示于类别:	[電機工程系(所)] 【電機工程系所】期刊論文

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