Efficient modeling and simulation of wear-out and state-of-charge in storage systems

Monika Sandelic

doi:10.1016/B978-0-323-85622-5.00001-8

Efficient modeling and simulation of wear-out and state-of-charge in storage systems

Monika Sandelic^*

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

Abstract

To achieve optimal battery energy storage operation and maximize its economic benefits, it is crucial to account for battery life-limiting aspects. One of the most important parameters to consider in such an analysis is battery performance degradation. To assess this parameter, it is necessary to model battery performance and wear-out aspects efficiently. A range of performance and offline lifetime models commonly used during design and planning are discussed in this chapter. Moreover, a novel approach to real-time battery degradation is discussed and demonstrated in the case study.

Original language	English
Title of host publication	Control of Power Electronic Converters and Systems : Volume 4
Editors	Frede Blaabjerg
Number of pages	21
Volume	4
Publisher	Academic Press
Publication date	2024
Pages	511-531
Chapter	16
ISBN (Print)	978-0-323-85623-2
ISBN (Electronic)	978-0-323-85622-5
DOIs	https://doi.org/10.1016/B978-0-323-85622-5.00001-8
Publication status	Published - 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Inc. All rights reserved.

Keywords

Battery degradation
Battery energy system
Real-time degradation assessment
State-of-charge
Wear-out modeling

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10.1016/B978-0-323-85622-5.00001-8

AUB Link

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AB - To achieve optimal battery energy storage operation and maximize its economic benefits, it is crucial to account for battery life-limiting aspects. One of the most important parameters to consider in such an analysis is battery performance degradation. To assess this parameter, it is necessary to model battery performance and wear-out aspects efficiently. A range of performance and offline lifetime models commonly used during design and planning are discussed in this chapter. Moreover, a novel approach to real-time battery degradation is discussed and demonstrated in the case study.

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KW - Battery energy system

KW - Real-time degradation assessment

KW - State-of-charge

KW - Wear-out modeling

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BT - Control of Power Electronic Converters and Systems

A2 - Blaabjerg, Frede

PB - Academic Press

ER -

Efficient modeling and simulation of wear-out and state-of-charge in storage systems

Abstract

Bibliographical note

Keywords

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AUB Link

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Control of Power Electronic Converters and Systems: Volume 4

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