IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v331y2025ics0360544225027094.html

Thermal management requirements in battery packs: An analysis of the effects of battery degradation

Author

Listed:
  • Yang, Rui
  • Li, Kuining
  • Xie, Yi
  • Zhang, Yihao
  • Xi, Chunfu
  • Zhang, Yangjun

Abstract

Battery degradation significantly affects a battery's thermal behaviour. This study developed a cell-level thermal model by considering the effects of ageing on both irreversible and reversible heat generation. A degradation-aware electro-thermal framework for battery packs with a pack-level electrical model and a thermal resistance network of a heat pipe-fan (HP-F)–based battery thermal management system (BTMS) was constructed for this research. The model predictions were validated using experiments at cell and pack levels, with root mean square errors within 2 °C and 1 °C, respectively. According to this framework, the thermal behaviour and management requirements of battery packs under different states of health (SOH) were analysed. The results demonstrated that aged batteries generate more heat due to increased internal resistance, leading to elevated average temperature (ΔTaᵥe) and temperature differences (Tdiff) within the pack. At 20 °C and 1C discharge, the ΔTaᵥe of a pack with SOH = 85 % increases by 51.72 % compared to SOH = 100 %, and the maximum Tdiff grows by 51.3 %. Enhanced cooling decreases the average temperature but enlarges temperature gradients, especially in aged packs, necessitating balanced control. As the battery ages, the required cooling intensity decreases under uniformity constraints but increases under temperature control needs, imposing stricter demands on thermal management design. Under HP-F-based BTMS, when SOH ≥87 %, the appropriate airflow ratio increases with cooling demands. When SOH<87 %, a constant airflow ratio is maintained to balance temperature, uniformity and energy consumption.

Suggested Citation

  • Yang, Rui & Li, Kuining & Xie, Yi & Zhang, Yihao & Xi, Chunfu & Zhang, Yangjun, 2025. "Thermal management requirements in battery packs: An analysis of the effects of battery degradation," Energy, Elsevier, vol. 331(C).
  • Handle: RePEc:eee:energy:v:331:y:2025:i:c:s0360544225027094
    DOI: 10.1016/j.energy.2025.137067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225027094
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.137067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Bamdezh, M.A. & Molaeimanesh, G.R., 2024. "The effect of active and passive battery thermal management systems on energy consumption, battery degradation, and carbon emissions of an electric vehicle," Energy, Elsevier, vol. 304(C).
    2. F. Degen & M. Winter & D. Bendig & J. Tübke, 2023. "Energy consumption of current and future production of lithium-ion and post lithium-ion battery cells," Nature Energy, Nature, vol. 8(11), pages 1284-1295, November.
    3. Garg, Harish, 2016. "A hybrid PSO-GA algorithm for constrained optimization problems," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 292-305.
    4. Liang, Lin & Zhao, Yaohua & Diao, Yanhua & Ren, Ruyang & Zhu, Tingting & Li, Yan, 2023. "Experimental investigation of preheating performance of lithium-ion battery modules in electric vehicles enhanced by bending flat micro heat pipe array," Applied Energy, Elsevier, vol. 337(C).
    5. Anselma, Pier Giuseppe & Kollmeyer, Phillip & Lempert, Jeremy & Zhao, Ziyu & Belingardi, Giovanni & Emadi, Ali, 2021. "Battery state-of-health sensitive energy management of hybrid electric vehicles: Lifetime prediction and ageing experimental validation," Applied Energy, Elsevier, vol. 285(C).
    6. Wu, Chunxia & Sun, Yalong & Tang, Heng & Zhang, Shiwei & Yuan, Wei & Zhu, Likuan & Tang, Yong, 2024. "A review on the liquid cooling thermal management system of lithium-ion batteries," Applied Energy, Elsevier, vol. 375(C).
    7. Liu, Zhangmiaoge & Liu, Zhouxiao & Liu, Jianzhao & Wang, Ning, 2023. "Thermal management with fast temperature convergence based on optimized fuzzy PID algorithm for electric vehicle battery," Applied Energy, Elsevier, vol. 352(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongkai Liu & Chentong Shi & Chenghao Liu & Wei Chang, 2025. "A Review of Lithium-Ion Battery Thermal Management Based on Liquid Cooling and Its Evaluation Method," Energies, MDPI, vol. 18(17), pages 1-27, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jiayi & Ma, Yan & Gao, Jinwu & Hu, Yunfeng, 2025. "A Jaya-driven quasi-predictive optimization strategy with adaptive window scheduling for EV thermal management," Energy, Elsevier, vol. 334(C).
    2. Luo, Ding & Wu, Zihao & Chen, Hao & Geng, Limin & Zhang, Wenbo, 2025. "Thermal performance of an active battery thermal management system combining annular thermoelectric coolers and phase change materials," Renewable Energy, Elsevier, vol. 249(C).
    3. Dwivedi, Ankur & Goel, Varun & Kumar, Anoop, 2025. "Experimental insights into application of helical liquid flow skeletons for thermal management of cylindrical lithium-ion batteries," Energy, Elsevier, vol. 323(C).
    4. Zhou, Yu & Liu, Yi & Zhang, Hanfei & Kou, Zihang & Sun, Yongkang & Zhao, Yanhua & Zhao, Luyao & Chen, Mingyi, 2025. "Aloe vera-inspired boron nitride/expanded graphite/melamine phosphate polymer composites for battery temperature management," Energy, Elsevier, vol. 336(C).
    5. Guo, Zixin & Zhao, Wenyang & Ma, Zhichao & Wang, Shenghui & Liu, Jiong & Zhao, Hongwei & Ren, Luquan, 2025. "Slight overdischarge cycling-induced severe degradation of electrochemical and mechanical properties of lithium-ion batteries," Applied Energy, Elsevier, vol. 393(C).
    6. Xu Wu & Xiaojing Shen & Chuanjiang Wei & Xinmin Xie & Jianshe Li, 2024. "A Hybrid Particle Swarm Optimization-Genetic Algorithm for Multiobjective Reservoir Ecological Dispatching," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(6), pages 2229-2249, April.
    7. Song, Jingeun & Cha, Junepyo & Choi, Mingi, 2024. "A study on 5-cycle fuel economy prediction model of electric vehicles using numerical simulation," Energy, Elsevier, vol. 309(C).
    8. Wang, Yuan & Wang, Yutao & He, Tianbiao & Mao, Ning, 2024. "A numerical study on a hybrid battery thermal management system based on PCM and wavy microchannel liquid cooling," Renewable Energy, Elsevier, vol. 235(C).
    9. Lili Zhao & Qingguo Bai & Shihao Liu, 2026. "Dynamic strategy of battery operation in a three-tier new energy vehicle supply chain considering carbon abatement," Operational Research, Springer, vol. 26(2), pages 1-39, June.
    10. Liu, Xingtao & Tang, Qinbin & Feng, Yitian & Lin, Mingqiang & Meng, Jinhao & Wu, Ji, 2023. "Fast sorting method of retired batteries based on multi-feature extraction from partial charging segment," Applied Energy, Elsevier, vol. 351(C).
    11. Anselma, Pier Giuseppe, 2022. "Computationally efficient evaluation of fuel and electrical energy economy of plug-in hybrid electric vehicles with smooth driving constraints," Applied Energy, Elsevier, vol. 307(C).
    12. Gheouany, Saad & Ouadi, Hamid & El Bakali, Saida, 2024. "Optimal active and reactive energy management for a smart microgrid system under the Moroccan grid pricing code," Energy, Elsevier, vol. 306(C).
    13. Zhu, Bo & Jia, Li & Pan, Quanke & Zhang, Hui, 2025. "Cross-domain battery SOH and RUL estimation via Domain-Adaptive Transformer," Energy, Elsevier, vol. 341(C).
    14. Taşcıkaraoğlu, Akın & Beyazıt, Muhammed Ali & Kleissl, Jan & Shi, Yuanyuan, 2025. "Coordinated Management of Mobile Charging Stations and Community Energy Storage for Electric Vehicle Charging," Applied Energy, Elsevier, vol. 393(C).
    15. Liu, Jia & Li, Chang & Liu, Hongao & Che, Yunhong & Li, Jinwen & Xie, Yang & Wu, Ranglei & Yang, Yalian & Hu, Xiaosong, 2025. "Rapid battery pack state of health estimation for electric vehicles considering polarization features in multi-stage charging," Energy, Elsevier, vol. 335(C).
    16. Li, Jingjing & Qiao, Lulu & Chen, Meng & Song, Dafeng & Zeng, Xiaohua, 2025. "Metal oxide nanofluid-enhanced closed-loop pulsating heat pipes considering the characteristics of base solution: Thermal performance improvement for battery thermal management in cryogenics," Energy, Elsevier, vol. 333(C).
    17. Ramesh Kumar Chidambaram & Dipankar Chatterjee & Barnali Barman & Partha Pratim Das & Dawid Taler & Jan Taler & Tomasz Sobota, 2023. "Effect of Regenerative Braking on Battery Life," Energies, MDPI, vol. 16(14), pages 1-24, July.
    18. Xu, Xinyue & Li, Peihang & Weng, Keyu & Zheng, Pengjun & Feng, Yufan & Liu, Da & Hu, ShengXin & Qu, Weiping & Shao, Jin & Zou, Deqiu, 2025. "Tubeless shape-stabilized phase change materials channels for all-climate battery thermal management," Energy, Elsevier, vol. 330(C).
    19. Adane Abebaw Gessesse & Rajashree Mishra & Mitali Madhumita Acharya & Kedar Nath Das, 2020. "Genetic algorithm based fuzzy programming approach for multi-objective linear fractional stochastic transportation problem involving four-parameter Burr distribution," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 93-109, February.
    20. Kronemeyer, Niklas & Wu, Xiaohan & Leker, Jens, 2026. "Profitability and carbon footprint of battery recycling and the potential impact on battery cost: A structured machine-learning based review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:331:y:2025:i:c:s0360544225027094. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.