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Cited by 261

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Nonlinear State of Charge Estimator for Hybrid Electric Vehicle Battery

Il-Song Kim·2008·IEEE Transactions on Power Electronics

Abstract

A new method for battery state of charge estimation using a sliding mode observer has been developed. A nonlinear battery dynamic modeling technique is established and design methodology with the sliding mode observer is presented. Contrary to the conventional methods using complicated battery modeling, a simple resistor-capacitor battery model was used in this work. The modeling errors caused by the simple model are compensated by the sliding mode observer. The structure of the sliding mode observer is simple, but it shows robust control property against modeling errors and uncertainties. The convergence of the proposed observer has been proved by the equivalent control method. The performance of the system has been verified by the sequence of urban dynamometer driving schedule test. The test results of the proposed observer system shows robust tracking performance under real driving environments.

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Metadata

Authors
Kim, I.-S.
Venue
IEEE Transactions on Power Electronics
Published
2008-07
Volume
23
Issue
4
Pages
2027-2034
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2101226854
Cited by
261
References
0
FWCI
23.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nonlinear State of Charge Estimator for Hybrid Electric Vehicle Battery. https://app.cochat.ai/papers/10.1109/tpel.2008.924629
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Kim, I.-S. (2008). Nonlinear State of Charge Estimator for Hybrid Electric Vehicle Battery. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2008.924629

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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.