Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114259
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.contributorResearch Centre for Electric Vehiclesen_US
dc.creatorJia, Cen_US
dc.creatorLiu, Wen_US
dc.creatorHe, Hen_US
dc.creatorChau, KTen_US
dc.date.accessioned2025-07-21T08:28:36Z-
dc.date.available2025-07-21T08:28:36Z-
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10397/114259-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectComprehensive thermal managementen_US
dc.subjectDeep reinforcement learningen_US
dc.subjectEnergy management strategyen_US
dc.subjectEnergy source systems health managementen_US
dc.subjectFuel cell busen_US
dc.titleHealth-conscious energy management for fuel cell vehicles : an integrated thermal management strategy for cabin and energy source systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume333en_US
dc.identifier.doi10.1016/j.energy.2025.137330en_US
dcterms.abstractOperating temperature significantly affects the efficiency and durability of the fuel cell (FC) system and lithium-ion battery (LIB). However, existing energy management strategies (EMS) tend to ignore the electric-thermal coupling characteristics of energy source systems during decision-making, which limits the economic potential of fuel cell vehicles (FCV). To address this challenge, this paper proposes a novel health-conscious energy management paradigm that integrates comprehensive thermal management of the energy source systems and cabin, aiming to maximize the overall performance and economy of FCVs. Specifically, by constructing electric-thermal coupling lifespan models of the LIB and FC system, as well as a cabin dynamic thermal load model, we developed a comprehensive control framework for energy- and thermal coupling. The objectives of this framework are to optimize energy consumption, thermal health management of the energy source systems, and cabin comfort. On this basis, the state-of-the-art twin delayed deep deterministic policy gradient (TD3) algorithm is employed to achieve collaborative optimization of the onboard energy source systems and air conditioning system. This collaborative optimization can further optimize vehicle energy consumption, achieving the best balance between fuel economy, cabin comfort, and energy source systems durability. The results show that, compared with conventional TD3 EMS, the proposed EMS extends the lifespan of the LIB by 32.16 % and the FC system by 14.63 % in terms of energy source system health management. Additionally, in terms of total operational costs, the proposed EMS enhances the driving economy by 11.19 %.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationEnergy, 1 Oct. 2025, v. 333, 137330en_US
dcterms.isPartOfEnergyen_US
dcterms.issued2025-10-01-
dc.identifier.scopus2-s2.0-105009263563-
dc.identifier.eissn1873-6785en_US
dc.identifier.artn137330en_US
dc.description.validate202507 bcwhen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000012/2025-07-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextFunding text 1: As shown in Fig. 1(a), the FC system serves as the core energy source, providing essential support for the FCB's driving power and the electrical demands of the AC system. Meanwhile, the LIB plays a crucial auxiliary role in this configuration. It not only supplies additional power to meet high load demands but also stores excess energy from the FC system and energy generated during braking, thereby maintaining state of charge (SOC) stability. The synergy between the FC system and the LIB ensures efficient operation of the FCB under various conditions. The power balance relationship for FCB can be expressed as:This work is supported in part by two grants (Project Nos. P0048560 and P0054038) from The Hong Kong Polytechnic University, and in part by a grant (Project No. P0051097) from the Wisdom Motors (HK) Limited, Hong Kong Special Administrative Region, China.; Funding text 2: This work is supported in part by two grants (Project Nos. P0048560 and P0054038) from The Hong Kong Polytechnic University , and in part by a grant (Project No. P0051097 ) from the Wisdom Motors (HK) Limited, Hong Kong Special Administrative Region, China.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-10-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2027-10-01
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.