{"title":"Online SoC estimation for Li-ion batteries: A survey explore the distributed secure cloud management to battery packs","authors":"F. Han, K. See, Yong Feng, Xinghuo Yu, X. Yi","doi":"10.1109/ICIEA.2017.8283137","DOIUrl":null,"url":null,"abstract":"Enlightened by the ”Totally Innovative Cloud Things of Connectedness” from the theme of 2017 round Australian National Wide Cyber Security Challenge1, cloud back-end and the hardware devices are identified as important components for cyber security investigation. On the other hand, rechargeable Lithium-ion (Li-ion) battery packs are widely used for energy storages and back-up power supplies. There are numerous embedded sensors in the Battery Management Systems, which provide the first hand data for optimizing the collective performance of the battery packs. Therefore, these sensor nodes are the desired initial starting points for exploring the vulnerabilities and security protections to the decentralized end nodes in IoT. This paper surveys the online SoC estimation of Li-ion batteries, endeavors to understand the models, control and management of the networked rechargeable batteries. This brief aims to initiate a research on decentralized secure cloud management to the end nodes of IoT.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8283137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Enlightened by the ”Totally Innovative Cloud Things of Connectedness” from the theme of 2017 round Australian National Wide Cyber Security Challenge1, cloud back-end and the hardware devices are identified as important components for cyber security investigation. On the other hand, rechargeable Lithium-ion (Li-ion) battery packs are widely used for energy storages and back-up power supplies. There are numerous embedded sensors in the Battery Management Systems, which provide the first hand data for optimizing the collective performance of the battery packs. Therefore, these sensor nodes are the desired initial starting points for exploring the vulnerabilities and security protections to the decentralized end nodes in IoT. This paper surveys the online SoC estimation of Li-ion batteries, endeavors to understand the models, control and management of the networked rechargeable batteries. This brief aims to initiate a research on decentralized secure cloud management to the end nodes of IoT.
受2017年澳大利亚全国网络安全挑战赛(Australian National Security challenge)主题“Totally Innovative Cloud Things of Connectedness”的启发,云后端和硬件设备被确定为网络安全调查的重要组成部分。另一方面,可充电锂离子(Li-ion)电池组被广泛用于能量存储和备用电源。电池管理系统中有许多嵌入式传感器,为优化电池组的整体性能提供第一手数据。因此,这些传感器节点是探索物联网中分散的终端节点的漏洞和安全保护的理想初始起点。本文对锂离子电池的在线SoC估计进行了研究,试图了解联网充电电池的模型、控制和管理。本简介旨在开展物联网终端节点分散安全云管理的研究。