Comprehensive review of multi-scale Lithium-ion batteries modeling: From electro-chemical dynamics up to heat transfer in battery thermal management system

被引:20
作者
Mama, Magui [1 ]
Solai, Elie [1 ]
Capurso, Tommaso [1 ]
Danlos, Amelie [1 ]
Khelladi, Sofiane [1 ]
机构
[1] Arts & Metiers Inst Technol, le CNAM, LIFSE, F-75013 Paris, France
关键词
Lithium-ion batteries; Multi-scale modeling; Battery thermal management; Degradation mechanism; Thermal runaway; Energy storage; Battery safety; SINGLE-PARTICLE MODEL; OF-THE-ART; EXPERIMENTAL VALIDATION; ELECTRIC VEHICLES; POUCH CELL; TEMPERATURE; STATE; GENERATION; RUNAWAY; PERFORMANCE;
D O I
10.1016/j.enconman.2024.119223
中图分类号
O414.1 [热力学];
学科分类号
摘要
The growing development of lithium-ion battery technology goes along with the new energy storage era across various sectors, e.g., mobility (electric vehicles), power generation and dispatching. The need for sophisticated modeling approaches has become a crucial tool to predict and optimize battery behavior given the demand of ever-higher performance, longevity, and safety. This review integrates the state-of-the-art in lithium-ion battery modeling, covering various scales, from particle-level simulations to pack-level thermal management systems, involving particle scale simplifications, microscale electrochemical models, and battery scale electrical models with thermal and heat generation prediction. Beyond that, authors highlight the growing trend in integrating highly accurate physics-based with thermal approaches such as the electrochemical-thermal coupled model to fully answer the multiscale challenges. Through capturing the electrochemical phenomena and thermal dynamics, and developing a comprehensive understanding of battery kinetics, safety risks such as thermal runaway can be thoroughly mitigated. Authors emphasize the trade-offs between computational efficiency and model complexity, explaining the limitations, strengths, and applications of diverse modeling approaches. This review illuminates the integration of battery management systems and cooling strategies.
引用
收藏
页数:27
相关论文
共 190 条
[61]   Progressive growth of the solid-electrolyte interphase towards the Si anode interior causes capacity fading [J].
He, Yang ;
Jiang, Lin ;
Chen, Tianwu ;
Xu, Yaobin ;
Jia, Haiping ;
Yi, Ran ;
Xue, Dingchuan ;
Song, Miao ;
Genc, Arda ;
Bouchet-Marquis, Cedric ;
Pullan, Lee ;
Tessner, Ted ;
Yoo, Jinkyoung ;
Li, Xiaolin ;
Zhang, Ji-Guang ;
Zhang, Sulin ;
Wang, Chongmin .
NATURE NANOTECHNOLOGY, 2021, 16 (10) :1113-+
[62]   An improved thermal single particle model and parameter estimation for high-capacity battery cell [J].
Hong, Changbeom ;
Cho, Hyeonwoo ;
Hong, Daeki ;
Oh, Se-Kyu ;
Kim, Yeonsoo .
ELECTROCHIMICA ACTA, 2023, 439
[63]  
Hosseini Moghaddam SM, 2018, Designing battery thermal management systems (BTMS) for cylindrical Lithium-ion battery modules using CFD
[64]   State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review [J].
How, Dickson N. T. ;
Hannan, M. A. ;
Lipu, M. S. Hossain ;
Ker, Pin Jern .
IEEE ACCESS, 2019, 7 :136116-136136
[65]   A hybrid cooling method with low energy consumption for lithium-ion battery under extreme conditions [J].
Hu, Sihang ;
Wang, Shijie ;
Ma, Chuyuan ;
Li, Siyang ;
Liu, Xiaojie ;
Zhang, Ying .
ENERGY CONVERSION AND MANAGEMENT, 2022, 266
[66]   Thermal management of high-energy lithium titanate oxide batteries using an effective channeled dielectric fluid immersion cooling system [J].
Hussain, Mazhar ;
Khan, Mohd. Kaleem ;
Pathak, Manabendra .
ENERGY CONVERSION AND MANAGEMENT, 2024, 313
[67]  
International Energy Agency, 2024, World Energy Outlook Special Report
[68]   Streamline three-dimensional thermal model of a lithium titanate pouch cell battery in extreme temperature conditions with module simulation [J].
Jaguemont, Joris ;
Omar, Noshin ;
Martel, Francois ;
Van den Bossche, Peter ;
Van Mierlo, Joeri .
JOURNAL OF POWER SOURCES, 2017, 367 :24-33
[69]   A user-friendly lithium battery simulator based on open-source CFD [J].
Jiang, Yang ;
Zhang, Lingding ;
Offer, Gregory ;
Wang, Huizhi .
DIGITAL CHEMICAL ENGINEERING, 2022, 5
[70]  
Jie Liu, 2024, Int J Heat Mass Transfer, V218