使用放松电压识别电池健康状况

Liang He, K. Shin
{"title":"使用放松电压识别电池健康状况","authors":"Liang He, K. Shin","doi":"10.1145/3575813.3576875","DOIUrl":null,"url":null,"abstract":"Mobile devices are only as useful as their battery lasts. Unfortunately, the operation and life of a mobile device’s battery degrade over time and usage. The state-of-health (SoH) of batteries quantifies their degradation, but mobile devices are unable to support its accurate estimation — despite its importance — due mainly to their limited hardware and dynamic usage patterns, causing various problems such as unexpected device shutoffs or even fire/explosion. To remedy this lack of support, we design, implement and evaluate V-Health, a low-cost user-level SoH estimation service for mobile devices based only on their battery voltage, which is universally available on all commodity mobile devices. The design of V-Health is inspired by our empirical finding that the relaxing voltages of a device battery fingerprint its SoH, and is steered by extensive measurements with 15 batteries used for various commodity mobile devices, such as iPhone 6 Plus, Nexus 6P, Galaxy S3, etc. These measurements consist of 13,377 battery discharging/charging/resting cycles and have been conducted over 72 months cumulatively. V-Health has been evaluated via both laboratory experiments and field-tests with multiple Android devices over 4–6 months, showing < error in SoH estimation.","PeriodicalId":359352,"journal":{"name":"Proceedings of the 14th ACM International Conference on Future Energy Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fingerprinting Battery Health Using Relaxing Voltages\",\"authors\":\"Liang He, K. Shin\",\"doi\":\"10.1145/3575813.3576875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile devices are only as useful as their battery lasts. Unfortunately, the operation and life of a mobile device’s battery degrade over time and usage. The state-of-health (SoH) of batteries quantifies their degradation, but mobile devices are unable to support its accurate estimation — despite its importance — due mainly to their limited hardware and dynamic usage patterns, causing various problems such as unexpected device shutoffs or even fire/explosion. To remedy this lack of support, we design, implement and evaluate V-Health, a low-cost user-level SoH estimation service for mobile devices based only on their battery voltage, which is universally available on all commodity mobile devices. The design of V-Health is inspired by our empirical finding that the relaxing voltages of a device battery fingerprint its SoH, and is steered by extensive measurements with 15 batteries used for various commodity mobile devices, such as iPhone 6 Plus, Nexus 6P, Galaxy S3, etc. These measurements consist of 13,377 battery discharging/charging/resting cycles and have been conducted over 72 months cumulatively. V-Health has been evaluated via both laboratory experiments and field-tests with multiple Android devices over 4–6 months, showing < error in SoH estimation.\",\"PeriodicalId\":359352,\"journal\":{\"name\":\"Proceedings of the 14th ACM International Conference on Future Energy Systems\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th ACM International Conference on Future Energy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3575813.3576875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th ACM International Conference on Future Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3575813.3576875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

移动设备的用处取决于电池的续航能力。不幸的是,移动设备电池的运行和寿命会随着时间和使用而降低。电池的健康状态(SoH)量化了它们的退化,但移动设备无法支持其准确的估计——尽管它很重要——主要是由于它们有限的硬件和动态使用模式,导致各种问题,如意外的设备关闭甚至火灾/爆炸。为了弥补这种缺乏支持的情况,我们设计、实施和评估了V-Health,这是一种低成本的用户级SoH估计服务,仅基于移动设备的电池电压,该服务普遍适用于所有商用移动设备。V-Health的设计灵感来自于我们的经验发现,即设备电池的放松电压可以识别其SoH,并通过对各种商品移动设备(如iPhone 6 Plus, Nexus 6P, Galaxy S3等)使用的15块电池的广泛测量来指导。这些测量包括13,377个电池放电/充电/休息周期,累计进行了72个月。在4-6个月的时间里,V-Health通过实验室实验和多个Android设备的现场测试进行了评估,结果显示SoH估计误差< 0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fingerprinting Battery Health Using Relaxing Voltages
Mobile devices are only as useful as their battery lasts. Unfortunately, the operation and life of a mobile device’s battery degrade over time and usage. The state-of-health (SoH) of batteries quantifies their degradation, but mobile devices are unable to support its accurate estimation — despite its importance — due mainly to their limited hardware and dynamic usage patterns, causing various problems such as unexpected device shutoffs or even fire/explosion. To remedy this lack of support, we design, implement and evaluate V-Health, a low-cost user-level SoH estimation service for mobile devices based only on their battery voltage, which is universally available on all commodity mobile devices. The design of V-Health is inspired by our empirical finding that the relaxing voltages of a device battery fingerprint its SoH, and is steered by extensive measurements with 15 batteries used for various commodity mobile devices, such as iPhone 6 Plus, Nexus 6P, Galaxy S3, etc. These measurements consist of 13,377 battery discharging/charging/resting cycles and have been conducted over 72 months cumulatively. V-Health has been evaluated via both laboratory experiments and field-tests with multiple Android devices over 4–6 months, showing < error in SoH estimation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信