IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i5p1248-d505304.html
   My bibliography  Save this article

Temperature, Ageing and Thermal Management of Lithium-Ion Batteries

Author

Listed:
  • Lena Spitthoff

    (Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway)

  • Paul R. Shearing

    (Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
    Department of Chemical Engineering, University College London (UCL), London WC1E 6BT, UK)

  • Odne Stokke Burheim

    (Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway)

Abstract

Heat generation and therefore thermal transport plays a critical role in ensuring performance, ageing and safety for lithium-ion batteries (LIB). Increased battery temperature is the most important ageing accelerator. Understanding and managing temperature and ageing for batteries in operation is thus a multiscale challenge, ranging from the micro/nanoscale within the single material layers to large, integrated LIB packs. This paper includes an extended literature survey of experimental studies on commercial cells investigating the capacity and performance degradation of LIB. It compares the degradation behavior in terms of the influence of operating conditions for different chemistries and cell sizes. A simple thermal model for linking some of these parameters together is presented as well. While the temperature appears to have a large impact on ageing acceleration above room temperature during cycling for all studied cells, the effect of SOC and C rate appear to be rather cell dependent.Through the application of new simulations, it is shown that during cell testing, the actual cell temperature can deviate severely from the reported temperature depending on the thermal management during testing and C rate. It is shown, that the battery lifetime reduction at high C rates can be for large parts due to an increase in temperature especially for high energy cells and poor cooling during cycling studies. Measuring and reporting the actual battery (surface) temperature allow for a proper interpretation of results and transferring results from laboratory experiments to real applications.

Suggested Citation

  • Lena Spitthoff & Paul R. Shearing & Odne Stokke Burheim, 2021. "Temperature, Ageing and Thermal Management of Lithium-Ion Batteries," Energies, MDPI, vol. 14(5), pages 1-30, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1248-:d:505304
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/5/1248/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/5/1248/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zubi, Ghassan & Dufo-López, Rodolfo & Carvalho, Monica & Pasaoglu, Guzay, 2018. "The lithium-ion battery: State of the art and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 292-308.
    2. Jie Zhao & Zhenda Lu & Nian Liu & Hyun-Wook Lee & Matthew T. McDowell & Yi Cui, 2014. "Dry-air-stable lithium silicide–lithium oxide core–shell nanoparticles as high-capacity prelithiation reagents," Nature Communications, Nature, vol. 5(1), pages 1-8, December.
    3. Xiaohong Wang & Shixiang Li & Lizhi Wang & Yaning Sun & Zhongxing Wang, 2020. "Degradation and Dependence Analysis of a Lithium-Ion Battery Pack in the Unbalanced State," Energies, MDPI, vol. 13(22), pages 1-25, November.
    4. Yang, Fangfang & Wang, Dong & Zhao, Yang & Tsui, Kwok-Leung & Bae, Suk Joo, 2018. "A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries," Energy, Elsevier, vol. 145(C), pages 486-495.
    5. Shah, K. & McKee, C. & Chalise, D. & Jain, A., 2016. "Experimental and numerical investigation of core cooling of Li-ion cells using heat pipes," Energy, Elsevier, vol. 113(C), pages 852-860.
    6. Chunyu Zhao & Beile Zhang & Yuanming Zheng & Shunyuan Huang & Tongtong Yan & Xiufang Liu, 2020. "Hybrid Battery Thermal Management System in Electrical Vehicles: A Review," Energies, MDPI, vol. 13(23), pages 1-18, November.
    7. Li, Xue & Jiang, Jiuchun & Wang, Le Yi & Chen, Dafen & Zhang, Yanru & Zhang, Caiping, 2016. "A capacity model based on charging process for state of health estimation of lithium ion batteries," Applied Energy, Elsevier, vol. 177(C), pages 537-543.
    8. Ankur Bhattacharjee & Rakesh K. Mohanty & Aritra Ghosh, 2020. "Design of an Optimized Thermal Management System for Li-Ion Batteries under Different Discharging Conditions," Energies, MDPI, vol. 13(21), pages 1-21, October.
    9. Christian M. Julien & Alain Mauger, 2020. "NCA, NCM811, and the Route to Ni-Richer Lithium-Ion Batteries," Energies, MDPI, vol. 13(23), pages 1-46, December.
    10. Saw, Lip Huat & Poon, Hiew Mun & Thiam, Hui San & Cai, Zuansi & Chong, Wen Tong & Pambudi, Nugroho Agung & King, Yeong Jin, 2018. "Novel thermal management system using mist cooling for lithium-ion battery packs," Applied Energy, Elsevier, vol. 223(C), pages 146-158.
    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. Mario Eduardo Carbonó dela Rosa & Graciela Velasco Herrera & Rocío Nava & Enrique Quiroga González & Rodolfo Sosa Echeverría & Pablo Sánchez Álvarez & Jaime Gandarilla Ibarra & Víctor Manuel Velasco H, 2023. "A New Methodology for Early Detection of Failures in Lithium-Ion Batteries," Energies, MDPI, vol. 16(3), pages 1-18, January.
    2. Xingxing Wang & Shengren Liu & Yujie Zhang & Shuaishuai Lv & Hongjun Ni & Yelin Deng & Yinnan Yuan, 2022. "A Review of the Power Battery Thermal Management System with Different Cooling, Heating and Coupling System," Energies, MDPI, vol. 15(6), pages 1-29, March.
    3. Román-Ramírez, L.A. & Marco, J., 2022. "Design of experiments applied to lithium-ion batteries: A literature review," Applied Energy, Elsevier, vol. 320(C).
    4. Nathan Guignard & Christian Cristofari & Vincent Debusschere & Lauric Garbuio & Tina Le Mao, 2022. "Micro Pumped Hydro Energy Storage: Sketching a Sustainable Hybrid Solution for Colombian Off-Grid Communities," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    5. Thomas Imre Cyrille Buidin & Florin Mariasiu, 2021. "Battery Thermal Management Systems: Current Status and Design Approach of Cooling Technologies," Energies, MDPI, vol. 14(16), pages 1-32, August.
    6. Dimitrios Rimpas & Stavrοs D. Kaminaris & Dimitrios D. Piromalis & George Vokas & Konstantinos G. Arvanitis & Christos-Spyridon Karavas, 2023. "Comparative Review of Motor Technologies for Electric Vehicles Powered by a Hybrid Energy Storage System Based on Multi-Criteria Analysis," Energies, MDPI, vol. 16(6), pages 1-24, March.
    7. Nisitha Padmawansa & Kosala Gunawardane & Samaneh Madanian & Amanullah Maung Than Oo, 2023. "Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept," Energies, MDPI, vol. 16(12), pages 1-18, June.
    8. Maio, Marco & Marrasso, Elisa & Roselli, Carlo & Sasso, Maurizio & Fontana, Nicola & Marini, Gustavo, 2024. "An innovative approach for optimal selection of pumped hydro energy storage systems to foster sustainable energy integration," Renewable Energy, Elsevier, vol. 227(C).

    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. Akash Samanta & Sheldon S. Williamson, 2021. "A Comprehensive Review of Lithium-Ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems," Energies, MDPI, vol. 14(18), pages 1-25, September.
    2. Lin, Xiang-Wei & Li, Yu-Bai & Wu, Wei-Tao & Zhou, Zhi-Fu & Chen, Bin, 2024. "Advances on two-phase heat transfer for lithium-ion battery thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    3. Wang, Zengkai & Zeng, Shengkui & Guo, Jianbin & Qin, Taichun, 2019. "State of health estimation of lithium-ion batteries based on the constant voltage charging curve," Energy, Elsevier, vol. 167(C), pages 661-669.
    4. Tao Zhang & Ningyuan Guo & Xiaoxia Sun & Jie Fan & Naifeng Yang & Junjie Song & Yuan Zou, 2021. "A Systematic Framework for State of Charge, State of Health and State of Power Co-Estimation of Lithium-Ion Battery in Electric Vehicles," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    5. Thomas Imre Cyrille Buidin & Florin Mariasiu, 2021. "Battery Thermal Management Systems: Current Status and Design Approach of Cooling Technologies," Energies, MDPI, vol. 14(16), pages 1-32, August.
    6. Jie Yang & Fu Gu & Jianfeng Guo & Bin Chen, 2019. "Comparative Life Cycle Assessment of Mobile Power Banks with Lithium-Ion Battery and Lithium-Ion Polymer Battery," Sustainability, MDPI, vol. 11(19), pages 1-24, September.
    7. Cadini, F. & Sbarufatti, C. & Cancelliere, F. & Giglio, M., 2019. "State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters," Applied Energy, Elsevier, vol. 235(C), pages 661-672.
    8. Jacob J. Lamb & Odne S. Burheim, 2021. "Lithium-Ion Capacitors: A Review of Design and Active Materials," Energies, MDPI, vol. 14(4), pages 1-28, February.
    9. Angeles Cabañero, Maria & Altmann, Johannes & Gold, Lukas & Boaretto, Nicola & Müller, Jana & Hein, Simon & Zausch, Jochen & Kallo, Josef & Latz, Arnulf, 2019. "Investigation of the temperature dependence of lithium plating onset conditions in commercial Li-ion batteries," Energy, Elsevier, vol. 171(C), pages 1217-1228.
    10. Mohammed, Abubakar Gambo & Elfeky, Karem Elsayed & Wang, Qiuwang, 2022. "Recent advancement and enhanced battery performance using phase change materials based hybrid battery thermal management for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    11. Wang, Bin & Wang, Shifeng & Tang, Yuanyuan & Tsang, Chi-Wing & Dai, Jinchuan & Leung, Michael K.H. & Lu, Xiao-Ying, 2019. "Micro/nanostructured MnCo2O4.5 anodes with high reversible capacity and excellent rate capability for next generation lithium-ion batteries," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    12. Liming Deng & Wenjing Shen & Kangkang Xu & Xuhui Zhang, 2024. "An Adaptive Modeling Method for the Prognostics of Lithium-Ion Batteries on Capacity Degradation and Regeneration," Energies, MDPI, vol. 17(7), pages 1-15, April.
    13. Pietro Iurilli & Luigi Luppi & Claudio Brivio, 2022. "Non-Invasive Detection of Lithium-Metal Battery Degradation," Energies, MDPI, vol. 15(19), pages 1-14, September.
    14. Md. Mosaraf Hossain Khan & Amran Hossain & Aasim Ullah & Molla Shahadat Hossain Lipu & S. M. Shahnewaz Siddiquee & M. Shafiul Alam & Taskin Jamal & Hafiz Ahmed, 2021. "Integration of Large-Scale Electric Vehicles into Utility Grid: An Efficient Approach for Impact Analysis and Power Quality Assessment," Sustainability, MDPI, vol. 13(19), pages 1-18, October.
    15. Li, Yi & Liu, Kailong & Foley, Aoife M. & Zülke, Alana & Berecibar, Maitane & Nanini-Maury, Elise & Van Mierlo, Joeri & Hoster, Harry E., 2019. "Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    16. Zhang, Yajun & Liu, Yajie & Wang, Jia & Zhang, Tao, 2022. "State-of-health estimation for lithium-ion batteries by combining model-based incremental capacity analysis with support vector regression," Energy, Elsevier, vol. 239(PB).
    17. Raja Mazuir Raja Ahsan Shah & Mansour Al Qubeissi & Hazem Youssef & Hakan Serhad Soyhan, 2023. "Battery Thermal Management: An Application to Petrol Hybrid Electric Vehicles," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    18. Ma, Guijun & Zhang, Yong & Cheng, Cheng & Zhou, Beitong & Hu, Pengchao & Yuan, Ye, 2019. "Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    19. Yang, Yang & Yuan, Wei & Zhang, Xiaoqing & Yuan, Yuhang & Wang, Chun & Ye, Yintong & Huang, Yao & Qiu, Zhiqiang & Tang, Yong, 2020. "Overview on the applications of three-dimensional printing for rechargeable lithium-ion batteries," Applied Energy, Elsevier, vol. 257(C).
    20. Lin, Yuan-Qing & Wu, Chun-Mei & Li, You-Rong, 2023. "Experimental investigation on the effect of vapor environment on the pattern evolutions during sessile water droplet evaporation at low pressures," Applied Energy, Elsevier, vol. 331(C).

    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:gam:jeners:v:14:y:2021:i:5:p:1248-:d:505304. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.