A Overview of Energy Management Strategies for Hybrid Power Systems

Guoyu Feng, Zhishu Feng, Peng Sun, Lulu Guo and Zhiyong Chen ()
Additional contact information
Guoyu Feng: Aviation Operations Service College, Aviation University of Air Force, Changchun 130022, China
Zhishu Feng: Aviation Operations Service College, Aviation University of Air Force, Changchun 130022, China
Peng Sun: Aviation Operations Service College, Aviation University of Air Force, Changchun 130022, China
Lulu Guo: Research and Development Academy, China First Automobile Group Co., Ltd., Changchun 130022, China
Zhiyong Chen: School of Automotive Engineering, Jilin University, Changchun 130022, China

Energies, 2025, vol. 18, issue 17, 1-42

Abstract: This paper systematically reviews and analyzes various energy management strategies, as well as the characteristics, core challenges, and general processes of energy management for hybrid vehicles, aircraft, and ships. It also Analyzes the application scenarios, advantages, and limitations of rule-based energy management strategies. Based on the characteristics, design challenges, and general processes of optimized energy management strategies, a comparative analysis was conducted of mainstream strategies such as dynamic programming algorithms, Pontryagin’s minimum principle, equivalent energy consumption minimization, and multi-objective prediction. The focus was on analyzing intelligent control energy management strategies, including hybrid power system energy management strategies and their control effects based on neural network control, adaptive dynamic programming, reinforcement learning, and deep reinforcement learning. Finally, this paper addresses the challenges in applying energy management strategies, the limitations of modeling approaches, the validation of their effectiveness, and future research directions.

Keywords: hybrid power systems; energy management strategies; rule-based energy management strategies; optimized energy management strategies; intelligent control energy management strategies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/17/4769/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/17/4769/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:17:p:4769-:d:1744470

Access Statistics for this article

Energies is currently edited by Ms. Cassie Shen

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().