Battery Degradation Oriented Active Control Strategy by Using a Reinforcement Learning Algorithm in Hybrid Energy Storage System

The integration of ultracapacitors (UCs) into hybrid energy storage systems is a solution to mitigate battery degradation. Traditional strategies focus on fuel cell and battery power regulation while treating UC management as a passive element, resulting in suboptimal UC utilization. To optimize the...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 72; H. 5; S. 4922 - 4932
Hauptverfasser:	Lin, Xinyou, Huang, Hao, Xu, Xinhao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Active control Algorithms Batteries Control systems Deep reinforcement learning (RL) Degradation Electric charge Energy management Energy storage Energy utilization fuel cell hybrid electric vehicle (FCHEV) Fuel cells hybrid energy storage system (HESS) Hybrid systems Machine learning Numerical models Optimization Power generation Real time Real-time systems State of charge
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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