A review on various optical fibre sensing methods for batteries
A review on various optical fibre sensing methods for batteries
Batteries have rapidly evolved and are widely applied in both stationary and transport applications. The safe and reliable operation is of vital importance to all types of batteries, herein an effective battery sensing system with high performance and easy implementation is critically needed. This also requires the sensing system to monitor the states of batteries in real time. Among the available methods, optical fibre sensors have shown a significant advantage due to their advanced capabilities of which include the fast measurement of multiple parameters with high sensitivity, working without interfering the battery performance, being able to be composited in multiplexed configurations and being robust to various harsh environment conditions. This paper mainly discusses the current optical fibre sensing methods for batteries in terms of the working principles and critical reviews the sensing performance corresponding to different sensing parameters. Moreover, the challenges and outlooks for future research on battery sensing are derived.
Batteries, Battery instrumentation, Battery management system, Battery sensing, Optical fibre sensors, Smart sensing
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Han, Gaoce
122baece-e361-472a-8256-513369c62a78
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Guo, Zhen
a62fd8d4-88e7-4a8c-aa46-fabe92df589a
Greenwood, David
4e204d2c-ad21-4324-b1ba-479e767c864e
Marco, James
6049e510-55b6-4781-b871-99c9a15d28ff
Yu, Yifei
0421a794-b155-46e0-8cd7-5f66f3330a40
October 2021
Han, Gaoce
122baece-e361-472a-8256-513369c62a78
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Guo, Zhen
a62fd8d4-88e7-4a8c-aa46-fabe92df589a
Greenwood, David
4e204d2c-ad21-4324-b1ba-479e767c864e
Marco, James
6049e510-55b6-4781-b871-99c9a15d28ff
Yu, Yifei
0421a794-b155-46e0-8cd7-5f66f3330a40
Han, Gaoce, Yan, Jize, Guo, Zhen, Greenwood, David, Marco, James and Yu, Yifei
(2021)
A review on various optical fibre sensing methods for batteries.
Renewable and Sustainable Energy Reviews, 150 (111514), , [111514].
(doi:10.1016/j.rser.2021.111514).
Abstract
Batteries have rapidly evolved and are widely applied in both stationary and transport applications. The safe and reliable operation is of vital importance to all types of batteries, herein an effective battery sensing system with high performance and easy implementation is critically needed. This also requires the sensing system to monitor the states of batteries in real time. Among the available methods, optical fibre sensors have shown a significant advantage due to their advanced capabilities of which include the fast measurement of multiple parameters with high sensitivity, working without interfering the battery performance, being able to be composited in multiplexed configurations and being robust to various harsh environment conditions. This paper mainly discusses the current optical fibre sensing methods for batteries in terms of the working principles and critical reviews the sensing performance corresponding to different sensing parameters. Moreover, the challenges and outlooks for future research on battery sensing are derived.
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A review on various optical fibre sensing methods for batteries
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Submitted date: 22 November 2020
Accepted/In Press date: 16 July 2021
e-pub ahead of print date: 22 July 2021
Published date: October 2021
Additional Information:
Funding Information:
This work was funded by High Value Manufacturing Catapult , grant reference, 160080 CORE (WMG), titled ‘Smart Sensing for Future Batteries’ and the EPSRC (Engineering and Physical Sciences Research Council) , grant reference EP/R004927/1 , titled ‘Prosperity Partnership’. The author Gaoce Han would like to acknowledge the China Scholarship Council for sponsoring. The permission is attained for all copyrighted figures.
Publisher Copyright:
© 2021
Keywords:
Batteries, Battery instrumentation, Battery management system, Battery sensing, Optical fibre sensors, Smart sensing
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Local EPrints ID: 450496
URI: http://eprints.soton.ac.uk/id/eprint/450496
ISSN: 1364-0321
PURE UUID: 60339ec9-3442-4769-a15a-47ba769324dc
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Date deposited: 30 Jul 2021 16:31
Last modified: 27 Apr 2024 02:04
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Author:
Gaoce Han
Author:
Zhen Guo
Author:
David Greenwood
Author:
James Marco
Author:
Yifei Yu
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