电池(电)
电子设备和系统的热管理
锂(药物)
传热
锂离子电池
热的
核工程
系统动力学
材料科学
工艺工程
机械工程
环境科学
工程类
计算机科学
热力学
物理
功率(物理)
医学
人工智能
内分泌学
作者
Magui Mama,Elie Solaï,Tommaso Capurso,Amélie Danlos,Sofiane Khelladi
标识
DOI:10.1016/j.enconman.2024.119223
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. • Lithium-ion battery electrochemical and thermal dynamics are comprehensively reviewed. • Multiscale modeling is analyzed, considering physical limits and computational costs. • Systematic physics-based model comparison: strengths and limitations are detailed. • Scale-specific physical complexities are schematized for clarity.
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