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Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications

Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter me...

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Autores principales: Su, Yang D., Preger, Yuliya, Burroughs, Hannah, Sun, Chenhu, Ohodnicki, Paul R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923102/
https://www.ncbi.nlm.nih.gov/pubmed/33671244
http://dx.doi.org/10.3390/s21041397
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author Su, Yang D.
Preger, Yuliya
Burroughs, Hannah
Sun, Chenhu
Ohodnicki, Paul R.
author_facet Su, Yang D.
Preger, Yuliya
Burroughs, Hannah
Sun, Chenhu
Ohodnicki, Paul R.
author_sort Su, Yang D.
collection PubMed
description Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter measurements including local temperature, strain, pressure, and refractive index for general operation, as well as the external measurements such as temperature gradients and vent gas sensing for thermal runaway imminent detection. A reasonable matching is discussed between fiber optic sensors of different range capabilities with battery systems of three levels of scales, namely electric vehicle and heavy-duty electric truck battery packs, and grid-scale battery systems. The advantages of fiber optic sensors over electrical sensors are discussed, while electrochemical stability issues of fiber-implanted batteries are critically assessed. This review also includes the estimated sensing system costs for typical fiber optic sensors and identifies the high interrogation cost as one of the limitations in their practical deployment into batteries. Finally, future perspectives are considered in the implementation of fiber optics into high-value battery applications such as grid-scale energy storage fault detection and prediction systems.
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spelling pubmed-79231022021-03-03 Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications Su, Yang D. Preger, Yuliya Burroughs, Hannah Sun, Chenhu Ohodnicki, Paul R. Sensors (Basel) Review Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter measurements including local temperature, strain, pressure, and refractive index for general operation, as well as the external measurements such as temperature gradients and vent gas sensing for thermal runaway imminent detection. A reasonable matching is discussed between fiber optic sensors of different range capabilities with battery systems of three levels of scales, namely electric vehicle and heavy-duty electric truck battery packs, and grid-scale battery systems. The advantages of fiber optic sensors over electrical sensors are discussed, while electrochemical stability issues of fiber-implanted batteries are critically assessed. This review also includes the estimated sensing system costs for typical fiber optic sensors and identifies the high interrogation cost as one of the limitations in their practical deployment into batteries. Finally, future perspectives are considered in the implementation of fiber optics into high-value battery applications such as grid-scale energy storage fault detection and prediction systems. MDPI 2021-02-17 /pmc/articles/PMC7923102/ /pubmed/33671244 http://dx.doi.org/10.3390/s21041397 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Su, Yang D.
Preger, Yuliya
Burroughs, Hannah
Sun, Chenhu
Ohodnicki, Paul R.
Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title_full Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title_fullStr Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title_full_unstemmed Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title_short Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications
title_sort fiber optic sensing technologies for battery management systems and energy storage applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923102/
https://www.ncbi.nlm.nih.gov/pubmed/33671244
http://dx.doi.org/10.3390/s21041397
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