A Comprehensive Review on the Characteristics and Modeling of Lithium-Ion Battery Aging
Battery aging is one of the critical problems to be tackled in battery research, as it limits the power and energy capacity during the battery’s life. Therefore, optimizing the design of battery systems requires a good understanding of aging behavior. Due to their simplicity, empirical and semiempirical models (EMs) are frequently used in smart charging studies, feasibility studies, and cost analyses studies, among other uses. Unfortunately, these models are prone to significant estimation errors without appropriate knowledge of their inherent limitations and the interdependence between stress factors. This article presents a review of empirical and semiempirical modeling techniques and aging studies, focusing on the trends observed between different studies and highlighting the limitations and challenges of the various models. First, the authors summarize the main aging mechanisms in lithium-ion batteries. Next, empirical modeling techniques are reviewed, followed by the current challenges and future trends, and a conclusion. The results indicate that the effect of stress factors is easily oversimplified, and their correlations are often not taken into account. The provided knowledge in this article can be used to evaluate the limitations of aging models and improve their accuracy for various applications.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
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Supplemental Notes:
- © 2022 Wiljan Vermeer et al.
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Authors:
- Vermeer, Wiljan
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0000-0001-6263-0735
- Chandra Mouli, Gautham Ram
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0000-0003-1997-4959
- Bauer, Pavol
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0000-0002-1171-9972
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 2205-2232
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Serial:
- IEEE Transactions on Transportation Electrification
- Volume: 8
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 2332-7782
- Serial URL: http://ieeexplore.ieee.org/servlet/opac?punumber=6687316
Subject/Index Terms
- TRT Terms: Aging (Materials); Deterioration; Empirical methods; Lithium batteries; Reviews
- Subject Areas: Energy; Highways; Maintenance and Preservation; Vehicles and Equipment;
Filing Info
- Accession Number: 01850599
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 29 2022 10:59AM