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Cited by 449

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A Model Predictive Control System for a Hybrid Battery-Ultracapacitor Power Source

Hredzak, Branislav, Agelidis, Vassilios G., Minsoo Jang·2014·IEEE Transactions on Power Electronics
DOI 10.1109/tpel.2013.2262003
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Abstract

A model predictive control system for a hybrid battery-ultracapacitor power source is proposed and experimentally verified in this paper. The main advantage of the proposed system is that the battery current, the battery state of charge, and the ultracapacitor current and voltage are maintained within predefined limits during the operation. In addition, the controller allocates fast current changes to the ultracapacitor while the battery responds mainly to slow current changes which helps to increase the battery lifetime. The presented experimental results verify operation of the proposed system.

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Metadata

Authors
Hredzak, B., Agelidis, V. G., & Jang, M.
Venue
IEEE Transactions on Power Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2014-03
Volume
29
Issue
3
Pages
1469-1479
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
DOI
10.1109/tpel.2013.2262003
OpenAlex
W2155944487
Cited by
449
References
0
FWCI
46.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Model Predictive Control System for a Hybrid Battery-Ultracapacitor Power Source. https://app.cochat.ai/papers/10.1109/tpel.2013.2262003
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Hredzak, B., Agelidis, V. G., & Jang, M. (2014). A Model Predictive Control System for a Hybrid Battery-Ultracapacitor Power Source. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2013.2262003

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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.