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Cited by 285

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles

Lam, Long, Bauer, Pavol·2013·IEEE Transactions on Power Electronics

Abstract

This paper proposes a practical capacity fading model for Li-ion cells based on real operating conditions in electric vehicles (EVs). Numerous LiFePO4cells have been cycled with a current profile containing regenerative braking to determine the capacity fading rate. The cells have been cycled at different temperatures with different initial state of charges, depth of discharges, or C-rates. From the experiments, an empirical model is constructed, which is capable of modeling the capacity fading in EV battery cells under most operating conditions. The capacity fading model can be used to estimate the state of health of EV battery cells, and simple ways to optimize the battery lifetime are proposed.

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Crossref · 10.1109/tpel.2012.2235083

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Metadata

Authors
Lam, L., & Bauer, P.
Venue
IEEE Transactions on Power Electronics
Published
2013-12
Volume
28
Issue
12
Pages
5910-5918
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2058845438
Cited by
285
References
3
FWCI
36.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles. https://app.cochat.ai/papers/10.1109/tpel.2012.2235083
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Lam, L., & Bauer, P. (2013). Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2012.2235083

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.