首页> 外文会议>Intelligent Information Technology Application, IITA, 2008 Second International Symposium on >Battery Chemistry Detection Algorithm Implementable with Intelligent Systems: A Step towards the Development of a Novel Charger Applicable for Multi-Chemistry Environment
【24h】

Battery Chemistry Detection Algorithm Implementable with Intelligent Systems: A Step towards the Development of a Novel Charger Applicable for Multi-Chemistry Environment

机译:可通过智能系统实现的电池化学检测算法:向适用于多化学环境的新型充电器迈出的一步

获取原文

摘要

This paper introduces a theory for the development of a fully automated multiple chemistry battery charger. This can be possible through the detection of battery chemistry. The paper presents an algorithm to differentiate between Ni based, Li-ion and Sealed Lead Acid (SLA) batteries through the analysis of voltage profile during charging and discharging periods. The algorithm was implemented and tested in an intelligent charger capable of charging aforementioned types of batteries without any prior identification of battery type from the user. This industrially viable solution for developing multiple chemistry charger can easily be incorporated in any embedded system using minimum input and circuit arrangement connected to the battery.
机译:本文介绍了开发全自动多化学电池充电器的理论。这可以通过检测电池化学成分来实现。本文提出了一种通过分析充电和放电期间的电压曲线来区分镍基,锂离子和密封铅酸(SLA)电池的算法。该算法是在智能充电器中实施和测试的,该充电器能够为上述类型的电池充电,而无需事先从用户那里识别出电池类型。这种开发多种化学充电器的工业可行解决方案可以轻松地集成到任何嵌入式系统中,只需使用最少的输入和连接到电池的电路装置即可。

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