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Embedded distributed temperature sensing enabled multi-state joint observation of smart lithium-ion battery
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Wei, Zhongbao, Huang, Jian, He, Hongwen, Yu, Yifei and Marco, James (2023) Embedded distributed temperature sensing enabled multi-state joint observation of smart lithium-ion battery. IEEE Transactions on Industrial Electronics, 70 (1). pp. 555-565. doi:10.1109/TIE.2022.3146503 ISSN 0278-0046.
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WRAP-embedded-distributed-temperature-sensing-enabled-multi-state-joint-observation-smart-lithium-ion-battery-Yu-2022.pdf - Accepted Version - Requires a PDF viewer. Download (2107Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TIE.2022.3146503
Abstract
Accurate monitoring of the internal statuses are highly valuable for the management of lithium-ion battery (LIB). This paper proposes a thermal model-based method for multi-state joint observation, enabled by a novel smart battery design with embedded and distributed temperature sensor. In particular, a novel smart battery is designed by implanting the distributed fiber optical sensor (DFOS) internally and externally. This promises a real-time distributed measurement of LIB internal and surface temperature with a high space resolution. Following this endeavor, a low-order joint observer is proposed to co-estimate the thermal parameters, heat generation rate, state of charge, and maximum capacity. Experimental results disclose that the smart battery has space-resolved self-monitoring capability with high reproducibility. With the new sensing data, the heat generation rate, state of charge, and maximum capacity of LIB can be observed precisely in real time. The proposed method validates to outperform the commonly-used electrical model-based method regarding the accuracy and the robustness to battery aging.
| Item Type: | Journal Article | ||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Wireless sensor networks, Embedded computer systems, Intelligent sensors , Optical fiber detectors , Lithium ion batteries | ||||||||
| Journal or Publication Title: | IEEE Transactions on Industrial Electronics | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 0278-0046 | ||||||||
| Official Date: | January 2023 | ||||||||
| Dates: |
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| Volume: | 70 | ||||||||
| Number: | 1 | ||||||||
| Page Range: | pp. 555-565 | ||||||||
| DOI: | 10.1109/TIE.2022.3146503 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 18 February 2022 | ||||||||
| Date of first compliant Open Access: | 21 February 2022 | ||||||||
| RIOXX Funder/Project Grant: |
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