Energy Management Strategy Based on Rules in PHEV: A Review
Research Article
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Energy Management Strategy Based on Rules in PHEV: A Review

Jiahao Han 1*
1 Huazhong University of Science and Technology
*Corresponding author: 1539401837@qq.com
Published on 26 November 2025
Volume Cover
ACE Vol.209
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-80590-561-5
ISBN (Online): 978-1-80590-562-2
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Abstract

Electric vehicles (EVs) are gaining increasing attention due to their environmental friendliness. However, EVs still suffer from issues such as short driving range. Plug-in Hybrid Vehicles (PHEVs) have emerged as an intermediate step in the transition from fuel-powered vehicles to electric vehicles, utilizing both gasoline and batteries. The proper allocation of these two energy sources has become a key issue for PHEVs. This paper mainly summarizes and analyzes rule-based energy management strategies through literature analysis, case analysis, and review methods. By contrasting with the energy management based on optimization algorithm, the advantages and problems of rule-based energy management strategies are explored. This paper finds that rule-based energy management strategies offer advantages such as robustness, simple algorithms, and strong real-time performance, but they cannot achieve global optimization, and rule formulation relies heavily on the designer's experience. In addition, rule-based energy management strategies can be combined with multiple algorithms and have high improvement potential.

Keywords:

PHEV, rule-based, fuzzy rules

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Han,J. (2025). Energy Management Strategy Based on Rules in PHEV: A Review. Applied and Computational Engineering,209,37-43.

References

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Cite this article

Han,J. (2025). Energy Management Strategy Based on Rules in PHEV: A Review. Applied and Computational Engineering,209,37-43.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-MCEE 2026 Symposium: Advances in Sustainable Aviation and Aerospace Vehicle Automation

ISBN: 978-1-80590-561-5(Print) / 978-1-80590-562-2(Online)
Editor: Ömer Burak İSTANBULLU
Conference date: 14 November 2025
Series: Applied and Computational Engineering
Volume number: Vol.209
ISSN: 2755-2721(Print) / 2755-273X(Online)