The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control
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Hybrid energy storage systems (HESS), which combine fuel cells, power batteries, and supercapacitors, have been widely adopted in electric vehicles to enhance energy density, power density, and system efficiency.
“Among EV technologies, hybrid energy storage systems (HESS), which combine fuel cells, power batteries, and supercapacitors, have been widely adopted to enhance energy density, power density, and system efficiency.”
From Bidirectional DC-DC Converter Topologies for Hybrid Energy Storage Systems in Electric Vehicles: A Comprehensive Review (2025) · cites this paper as [16]
Citations
Cites
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Tong, Y., Salhi, I., Wang, Q., Lu, G., & Wu, S. (2025) · Energies · doi:10.3390/en18092312 · Cited by 60
“The Hybrid Energy Storage System (HESS), as an advanced energy storage solution, has been widely adopted in the field of EV, primarily to simultaneously meet the demands for power density and energy density, optimize energy management, and enhance both system efficiency and lifespan [16].”
Metadata
- Authors
- Jia, C., Liu, W., He, H., & Chau, K. T.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Beijing Institute of Technology (CN)
- Corresponding author
- Chau, K.T.
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 321
- Pages
- 119032
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W4402449372
- Cited by
- 125
- References
- 33
- Citations by year
- 2026: 33 · 2025: 88 · 2024: 4
- FWCI
- 13.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy Conversion and Management (publishedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Funders
- Hong Kong Polytechnic University (P0048560, P0051097)
- Research Grants Council, University Grants Committee
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- fuel cell buses, energy management strategy, air conditioning, battery degradation, deep reinforcement learning, TD3, energy efficiency, vehicle operating costs
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