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

Li-ion battery battery management systems cost estimation electric vehicle fiber Bragg grating fiber optic sensor temperature monitoring thermal runaway

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 Feb 2021
Historique:
received: 25 01 2021
revised: 07 02 2021
accepted: 11 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33671244
pii: s21041397
doi: 10.3390/s21041397
pmc: PMC7923102
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Yang D Su (YD)

Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15260, USA.

Yuliya Preger (Y)

Sandia National Laboratories, Albuquerque, NM 87123, USA.

Hannah Burroughs (H)

Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

Chenhu Sun (C)

Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15260, USA.

Paul R Ohodnicki (PR)

Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.

Classifications MeSH