IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipbs0360544221023409.html
   My bibliography  Save this article

Multiphysics simulation optimization framework for lithium-ion battery pack design for electric vehicle applications

Author

Listed:
  • Astaneh, Majid
  • Andric, Jelena
  • Löfdahl, Lennart
  • Stopp, Peter

Abstract

Large-scale commercialization of electric vehicles (EVs) seeks to develop battery systems with higher energy efficiency and improved thermal performance. Integrating simulation-based design optimization in battery development process expands the possibilities for novel design exploration. This study presents a dual-stage multiphysics simulation optimization methodology for comprehensive concept design of Lithium-ion (Li-ion) battery packs for EV applications. At the first stage, multi-objective optimization of electrochemical thermally coupled cells is performed using genetic algorithm considering the specific energy and the maximum temperature of the cells as design objectives. At the second stage, the energy efficiency and the thermal performances of each optimally designed cell are evaluated under pack operation to account for cell-to-pack interactions under realistic working scenarios. When operating at 1.5 C discharge current, the battery pack comprising optimally designed cells for which the specific energy and the maximum temperature are equally weighted delivers the highest specific energy with enhanced thermal performance. The most favorable pack design shows 8% reduction in maximum pack temperature and 16.1% reduction in module-to-module temperature variations compared to commercially available pack. The methodology for design optimization presented in this work is generic, providing valuable knowledge for future cell and pack designs that employ different chemistries and configurations.

Suggested Citation

  • Astaneh, Majid & Andric, Jelena & Löfdahl, Lennart & Stopp, Peter, 2022. "Multiphysics simulation optimization framework for lithium-ion battery pack design for electric vehicle applications," Energy, Elsevier, vol. 239(PB).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023409
    DOI: 10.1016/j.energy.2021.122092
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221023409
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122092?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Hosseinzadeh, Elham & Arias, Sebastian & Krishna, Muthu & Worwood, Daniel & Barai, Anup & Widanalage, Dhammika & Marco, James, 2021. "Quantifying cell-to-cell variations of a parallel battery module for different pack configurations," Applied Energy, Elsevier, vol. 282(PA).
    2. Basu, Suman & Hariharan, Krishnan S. & Kolake, Subramanya Mayya & Song, Taewon & Sohn, Dong Kee & Yeo, Taejung, 2016. "Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system," Applied Energy, Elsevier, vol. 181(C), pages 1-13.
    3. Markus C. Becker & Pasquale Salvatore & Francesco Zirpoli, 2005. "The impact of virtual simulation tools on problem-solving and new product development organization," Post-Print hal-00279174, HAL.
    4. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    5. Zahid, Taimoor & Xu, Kun & Li, Weimin & Li, Chenming & Li, Hongzhe, 2018. "State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles," Energy, Elsevier, vol. 162(C), pages 871-882.
    6. Elsewify, O. & Souri, M. & Esfahani, M.N. & Hosseinzadeh, E. & Jabbari, M., 2021. "A new method for internal cooling of a large format lithium-ion battery pouch cell," Energy, Elsevier, vol. 225(C).
    7. Majid Astaneh & Jelena Andric & Lennart Löfdahl & Dario Maggiolo & Peter Stopp & Mazyar Moghaddam & Michel Chapuis & Henrik Ström, 2020. "Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications," Energies, MDPI, vol. 13(14), pages 1-27, July.
    8. Becker, Markus C. & Salvatore, Pasquale & Zirpoli, Francesco, 2005. "The impact of virtual simulation tools on problem-solving and new product development organization," Research Policy, Elsevier, vol. 34(9), pages 1305-1321, November.
    9. Liang, Jialin & Gan, Yunhua & Tan, Meixian & Li, Yong, 2020. "Multilayer electrochemical-thermal coupled modeling of unbalanced discharging in a serially connected lithium-ion battery module," Energy, Elsevier, vol. 209(C).
    10. Xu, Meng & Reichman, Benjamin & Wang, Xia, 2019. "Modeling the effect of electrode thickness on the performance of lithium-ion batteries with experimental validation," Energy, Elsevier, vol. 186(C).
    11. Elham Hosseinzadeh & James Marco & Paul Jennings, 2017. "Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance," Energies, MDPI, vol. 10(9), pages 1-22, August.
    12. Liu, Xinhua & Ai, Weilong & Naylor Marlow, Max & Patel, Yatish & Wu, Billy, 2019. "The effect of cell-to-cell variations and thermal gradients on the performance and degradation of lithium-ion battery packs," Applied Energy, Elsevier, vol. 248(C), pages 489-499.
    13. Liang, Jialin & Gan, Yunhua & Li, Yong & Tan, Meixian & Wang, Jianqin, 2019. "Thermal and electrochemical performance of a serially connected battery module using a heat pipe-based thermal management system under different coolant temperatures," Energy, Elsevier, vol. 189(C).
    14. Heewon Choi & Nam-gyu Lim & Seong Jun Lee & Jungsoo Park, 2020. "Feasibility Study for Sustainable Use of Lithium-Ion Batteries Considering Different Positive Electrode Active Materials under Various Driving Cycles by Using Cell to Electric Vehicle (EV) Simulation," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    15. Wu, Nan & Ye, Xiaolin & Li, Junjie & Lin, Boshen & Zhou, Xuelong & Yu, Bin, 2021. "Passive thermal management systems employing hydrogel for the large-format lithium-ion cell: A systematic study," Energy, Elsevier, vol. 231(C).
    16. Gao, Yizhao & Zhu, Chong & Zhang, Xi & Guo, Bangjun, 2021. "Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system," Energy, Elsevier, vol. 221(C).
    17. Huang, Deyang & Chen, Ziqiang & Zheng, Changwen & Li, Haibin, 2019. "A model-based state-of-charge estimation method for series-connected lithium-ion battery pack considering fast-varying cell temperature," Energy, Elsevier, vol. 185(C), pages 847-861.
    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. Zha, Yunfei & Meng, Xianfeng & Qin, Shuaishuai & Hou, Nairen & He, Shunquan & Huang, Caiyuan & Zuo, Hongyan & Zhao, Xiaohuan, 2023. "Performance evaluation with orthogonal experiment method of drop contact heat dissipation effects on electric vehicle lithium-ion battery," Energy, Elsevier, vol. 271(C).
    2. Couto, Luis. D. & Charkhgard, Mohammad & Karaman, Berke & Job, Nathalie & Kinnaert, Michel, 2023. "Lithium-ion battery design optimization based on a dimensionless reduced-order electrochemical model," Energy, Elsevier, vol. 263(PE).
    3. Lin, Xinyou & Li, Yalong & Zhang, Guangji, 2022. "Bi-objective optimization strategy of energy consumption and shift shock based driving cycle-aware bias coefficients for a novel dual-motor electric vehicle," Energy, Elsevier, vol. 249(C).
    4. Ma, Chen & Chang, Long & Cui, Naxin & Duan, Bin & Zhang, Yulong & Yu, Zhihao, 2022. "Statistical relationships between numerous retired lithium-ion cells and packs with random sampling for echelon utilization," Energy, Elsevier, vol. 257(C).
    5. Jie Liu & Santosh Chavan & Sung-Chul Kim, 2023. "Investigation of the Electrochemical and Thermal Characteristics of NCM811-21700 Cylindrical Lithium-Ion Battery: A Numerical Study and Model Validation," Energies, MDPI, vol. 16(17), pages 1-16, September.

    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. Gao, Yizhao & Zhu, Chong & Zhang, Xi & Guo, Bangjun, 2021. "Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system," Energy, Elsevier, vol. 221(C).
    2. Anandh Ramesh Babu & Jelena Andric & Blago Minovski & Simone Sebben, 2021. "System-Level Modeling and Thermal Simulations of Large Battery Packs for Electric Trucks," Energies, MDPI, vol. 14(16), pages 1-15, August.
    3. Shan, Shuai & Li, Li & Xu, Qiang & Ling, Lei & Xie, Yajun & Wang, Hongkang & Zheng, Keqing & Zhang, Lanchun & Bei, Shaoyi, 2023. "Numerical investigation of a compact and lightweight thermal management system with axially mounted cooling tubes for cylindrical lithium-ion battery module," Energy, Elsevier, vol. 274(C).
    4. Jun Wang & Lin Ruan & Ruiwei Li, 2022. "Parametric Investigation on the Electrical-Thermal Performance of Battery Modules with a Pumped Two-Phase Cooling System," Energies, MDPI, vol. 15(21), pages 1-18, October.
    5. Li, Changlong & Cui, Naxin & Wang, Chunyu & Zhang, Chenghui, 2021. "Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods," Energy, Elsevier, vol. 221(C).
    6. Li, Changlong & Cui, Naxin & Chang, Long & Cui, Zhongrui & Yuan, Haitao & Zhang, Chenghui, 2022. "Effect of parallel connection topology on air-cooled lithium-ion battery module: Inconsistency analysis and comprehensive evaluation," Applied Energy, Elsevier, vol. 313(C).
    7. Kim, Hong-Keun & Lee, Kyu-Jin, 2023. "Use of a multiphysics model to investigate the performance and degradation of lithium-ion battery packs with different electrical configurations," Energy, Elsevier, vol. 262(PB).
    8. Chen, Haosen & Fan, Jinbao & Zhang, Mingliang & Feng, Xiaolong & Zhong, Ximing & He, Jianchao & Ai, Shigang, 2023. "Mechanism of inhomogeneous deformation and equal-stiffness design of large-format prismatic lithium-ion batteries," Applied Energy, Elsevier, vol. 332(C).
    9. Mohammad Al-Amin & Anup Barai & T.R. Ashwin & James Marco, 2021. "An Insight to the Degradation Behaviour of the Parallel Connected Lithium-Ion Battery Cells," Energies, MDPI, vol. 14(16), pages 1-18, August.
    10. Zhu, Wenhao & Lei, Fei & Zhong, Hao & Wang, Dongjie, 2023. "An improved reliability assessment method for lithium-ion battery system considering imbalanced current and uneven cooling," Energy, Elsevier, vol. 276(C).
    11. Khan, F.M. NizamUddin & Rasul, Mohammad G. & Sayem, A.S.M. & Mandal, Nirmal K., 2024. "A computational analysis of effects of electrode thickness on the energy density of lithium-ion batteries," Energy, Elsevier, vol. 288(C).
    12. Antonino Vaccaro & Stefano Brusoni & Francisco Veloso, 2007. "The Role of Virtual Design Tools on Knowledge Replication and Recombination: An Empirical Investigation," KITeS Working Papers 198, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Feb 2007.
    13. Song, Ziyou & Yang, Niankai & Lin, Xinfan & Pinto Delgado, Fanny & Hofmann, Heath & Sun, Jing, 2022. "Progression of cell-to-cell variation within battery modules under different cooling structures," Applied Energy, Elsevier, vol. 312(C).
    14. Li, Dongdong & Yang, Lin & Li, Chun, 2021. "Control-oriented thermal-electrochemical modeling and validation of large size prismatic lithium battery for commercial applications," Energy, Elsevier, vol. 214(C).
    15. 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.
    16. Jordan, S.M. & Schreiber, C.O. & Parhizi, M. & Shah, K., 2024. "A new multiphysics modeling framework to simulate coupled electrochemical-thermal-electrical phenomena in Li-ion battery packs," Applied Energy, Elsevier, vol. 360(C).
    17. Spethmann, Philipp & Thomke, Stefan H. & Herstatt, Cornelius, 2006. "The impact of crash simulation on productivity and problem-solving in automotive R&D," Working Papers 43, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    18. Pritika Rao, 2020. "Behavioral economics in the time of coronavirus: rebellion or “willful ignorance” in the face of “grand challenges”," Review of Evolutionary Political Economy, Springer, vol. 1(1), pages 137-143, May.
    19. Marina van Geenhuizen & Peter Nijkamp, 2011. "Knowledge Virtualization and Local Connectedness among Smart High-tech Companies," Tinbergen Institute Discussion Papers 11-119/3, Tinbergen Institute.
    20. Sheng, Lei & Zhang, Hengyun & Su, Lin & Zhang, Zhendong & Zhang, Hua & Li, Kang & Fang, Yidong & Ye, Wen, 2021. "Effect analysis on thermal profile management of a cylindrical lithium-ion battery utilizing a cellular liquid cooling jacket," Energy, Elsevier, vol. 220(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:eee:energy:v:239:y:2022:i:pb:s0360544221023409. 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.