CPS:Small: Imposing Recovery Period for Battery Health Monitoring, Prognosis, and Optimization
CPS:Small: Imposing Recovery Period for Battery Health Monitoring, Prognosis, and Optimization
批准号:
1739577
负责人:
Kang Shin
金额:
$45.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31
中文摘要
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英文摘要
The prevalence of battery-powered systems such as electric vehicles, smartphones, and IoT devices has made batteries crucial to everyone's daily life and business. Battery health, however, degrades over time, not only decreasing system reliability such as unexpected system shutoffs, but also causing overheating/gassing which, in turn, increases safety risks such as thermal runaway or even battery fire/explosion. To address these problems, we must monitor, prognose, and optimize battery health throughout the physical system life. However, existing battery management systems (BMSes) are usually treated as complementary system components attached/embedded to/in batteries, and are unable to make optimal health management decisions adaptively based on system dynamics or user requirements. Our approach tightly integrates the cyber (battery management software) and the physical (sensing of battery state) to enable significant improvements in battery life and performance. The research, outreach, and education activities of this project will have broader impacts on the CPS research and industry communities, bridging the gap between them, providing environment-friendly solutions, increasing the awareness of CPS, and developing skilled human resources. It will also make significant economical and environmental impacts by enabling longer battery life and improved performance. This project will develop R-AWARE, a recovery period-assisted battery health management that schedules system operation while considering both system/user requirements and battery health. R-AWARE will improve battery health via relaxation-aware battery scheduling of battery charging/discharging, and recovery-based thermal control. It will advance the science of CPS by uncovering a thorough understanding of battery recovery and exploiting it via a recovery-aware scheduler during system operation. Specifically, R-AWARE is grounded on a thorough understanding of the physical recovery effects on battery health -- a new dimension for system optimization existing BMSes fail to exploit. R-AWARE then takes a cyber-physical approach for battery health management by adapting its decisions based on various physical properties of batteries/systems/environment. Finally, R-AWARE improves battery health by exploiting the opportunities offered by user behavior/requirements without degrading user experience. A performance goal of the project is to enable a 40% slowdown in battery health degradation.
期刊论文(7)
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Using Mobile Device Batteries as Thermometers
使用移动设备电池作为温度计
DOI:
10.1145/3471440.3471442
发表时间:
2021
期刊:
GetMobile: Mobile Computing and Communications
影响因子:
--
作者:
[He, Liang, Lee, Youngmoon, Shin, Kang]
通讯作者:
Shin, Kang
DOI:
10.1145/3302509.3313782
发表时间:
2019-04
期刊:
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems
影响因子:
--
作者:
[Liang He;Youngmoon Lee;Eugene Kim;K. Shin]
通讯作者:
Liang He;Youngmoon Lee;Eugene Kim;K. Shin
Causes and fixes of unexpected phone shutoffs
手机意外关机的原因及解决方法
DOI:
10.1145/3386901.3389024
发表时间:
2020
期刊:
ACM MobiSys'20
影响因子:
--
作者:
[Lee, Youngmoon, He, Liang, Shin, Kang G.]
通讯作者:
Shin, Kang G.
Power Guarantee for Electric Systems Using Real-Time Scheduling
利用实时调度为电力系统提供电力保证
DOI:
10.1109/tpds.2020.2977041
发表时间:
2020
期刊:
IEEE Transactions on Parallel and Distributed Systems
影响因子:
5.3
作者:
[Kim, Eugene, Lee, Youngmoon, He, Liang, Shin, Kang G., Lee, Jinkyu]
通讯作者:
Lee, Jinkyu
Mobile Device Batteries as Thermometers
移动设备电池作为温度计
DOI:
10.1145/3381015
发表时间:
2020
期刊:
Wearable and Ubiquitous Technologies
影响因子:
--
作者:
[He, Liang, Lee, Youngmoon, Shin, Kang G.]
通讯作者:
Shin, Kang G.
共 7 条
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CPS: Medium: Collaborative Research: Abstraction of Cyber-Physical Interplays and Its Application to CPS Design
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A Framework for Next-Generation Scheduling and Task Management for Extreme-Scale Computing
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MDARTS: A Multiprocessor Database Architecture for Real- Time Systems
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国内基金
海外基金
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