Power allocation strategy for urban rail HESS based on deep reinforcement learning sequential decision optimization

Wang, X., Luo, Y., Qin, B. et al. (1 more author) (2023) Power allocation strategy for urban rail HESS based on deep reinforcement learning sequential decision optimization. IEEE Transactions on Transportation Electrification, 9 (2). pp. 2693-2710. ISSN 2332-7782

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Wang, X.
  • Luo, Y.
  • Qin, B.
  • Guo, L.
Copyright, Publisher and Additional Information:

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Keywords: Regenerative braking energy; HESS; Power dynamic allocation; Deep reinforcement learning; SOC
Dates:
  • Published: June 2023
  • Published (online): 9 December 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Dec 2022 10:35
Last Modified: 26 Sep 2024 13:02
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/tte.2022.3227900
Open Archives Initiative ID (OAI ID):

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