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Cited by 447

The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.

SoC Estimation for Lithium-ion Batteries: Review and Future Challenges

Open access
Rivera-Barrera, Juan, Muñoz-Galeano, Nicolás, Sarmiento-Maldonado, Henry·2017·Electronics
DOI 10.3390/electronics6040102
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Abstract

Energy storage emerged as a top concern for the modern cities, and the choice of the lithium-ion chemistry battery technology as an effective solution for storage applications proved to be a highly efficient option. State of charge (SoC) represents the available battery capacity and is one of the most important states that need to be monitored to optimize the performance and extend the lifetime of batteries. This review summarizes the methods for SoC estimation for lithium-ion batteries (LiBs). The SoC estimation methods are presented focusing on the description of the techniques and the elaboration of their weaknesses for the use in on-line battery management systems (BMS) applications. SoC estimation is a challenging task hindered by considerable changes in battery characteristics over its lifetime due to aging and to the distinct nonlinear behavior. This has led scholars to propose different methods that clearly raised the challenge of establishing a relationship between the accuracy and robustness of the methods, and their low complexity to be implemented. This paper publishes an exhaustive review of the works presented during the last five years, where the tendency of the estimation techniques has been oriented toward a mixture of probabilistic techniques and some artificial intelligence.

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Cites

Show all 136 references

Research works printed but not linked: 17

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Metadata

Authors
Rivera-Barrera, J., Muñoz-Galeano, N., & Sarmiento-Maldonado, H.
Venue
Electronics
Publisher
MDPI AG
Published
2017-11-23
Volume
6
Issue
4
Pages
102
ISSN
2079-9292 (ISSN-L)
DOI
10.3390/electronics6040102
OpenAlex
W2769684120
Cited by
447
References
136
FWCI
14.15
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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CoChat. (2026). Citation check: SoC Estimation for Lithium-ion Batteries: Review and Future Challenges. https://app.cochat.ai/papers/10.3390/electronics6040102
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Rivera-Barrera, J., Muñoz-Galeano, N., & Sarmiento-Maldonado, H. (2017). SoC Estimation for Lithium-ion Batteries: Review and Future Challenges. Electronics. https://doi.org/10.3390/electronics6040102

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