首页> 外文期刊>Computers & mathematics with applications >Maximum power point tracking and optimal Li-ion battery charging control for photovoltaic charging system
【24h】

Maximum power point tracking and optimal Li-ion battery charging control for photovoltaic charging system

机译:光伏充电系统的最大功率点跟踪和最佳锂离子电池充电控制

获取原文
获取原文并翻译 | 示例
           

摘要

Due to the severity of the global energy crisis and environmental pollution, the photovoltaic (PV) system has become one kind of important renewable energy source. Solar energy has the advantages of maximum reserve, inexhaustibleness, and is free from geographical restrictions, thus making PV technology a popular research topic. This study is aimed at developing a PV charging system for Li-ion batteries by integrating Maximum Power Point Tracking (MPPT) and charging control for the battery. In order to enable the solar cell to use the sunlight effectively, a DC/DC boost converter for solar power generation was first designed, which used the MPPT Algorithm of Variable Step Size Incremental Conductance Method (INC) to enable the solar cell to track the MPPT at any time. The output from the DC/DC boost converter then entered the DC/DC buck converter to reduce the voltage for charging purposes. The charging system uses a constant voltage method to charge the Li-ion battery. The PI controller design Constant Voltage (CV) charging method uses a genetic algorithm to determine the optimal gain value. The numerical simulation showed that the PV charging system proposed by this study is easily realized, and can resist the disturbance of external environmental changes, and achieve fast charging.
机译:由于全球能源危机和环境污染的严重性,光伏(PV)系统已成为一种重要的可再生能源。太阳能具有最大的储量,取之不尽,用不着地域限制的优点,因此使光伏技术成为热门的研究课题。这项研究旨在通过集成最大功率点跟踪(MPPT)和电池充电控制来开发用于锂离子电池的PV充电系统。为了使太阳能电池能够有效地利用太阳光,首先设计了用于太阳能发电的DC / DC升压转换器,该转换器使用MPPT可变步长增量电导法(INC)的算法来使太阳能电池能够跟踪太阳光的变化。随时都有MPPT。然后,DC / DC升压转换器的输出进入DC / DC降压转换器,以降低充电电压。充电系统使用恒压方法为锂离子电池充电。 PI控制器设计的恒压(CV)充电方法使用遗传算法来确定最佳增益值。数值模拟表明,本研究提出的光伏充电系统易于实现,可以抵抗外界环境变化的干扰,实现快速充电。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号