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.

中文翻译：

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多尺度锂离子电池建模综合综述：从电化学动力学到电池热管理系统中的传热


锂离子电池技术的不断发展伴随着新能源时代的到来，涉及移动出行（电动汽车）、发电和调度等各个领域。鉴于对越来越高性能、使用寿命和安全性的需求，对复杂建模方法的需求已成为预测和优化电池行为的关键工具。本综述整合了锂离子电池建模的最新技术，涵盖各种尺度，从颗粒级仿真到电池组级热管理系统，涉及颗粒级简化、微观级电化学模型和电池级电气模型以及热和热生成预测。除此之外，作者还强调了将高精度基于物理学的方法与热方法（如电化学-热耦合模型）相结合以充分应对多尺度挑战的增长趋势。通过捕获电化学现象和热动力学，并全面了解电池动力学，可以彻底降低热失控等安全风险。作者强调了计算效率和模型复杂性之间的权衡，解释了不同建模方法的局限性、优势和应用。这篇评论阐明了电池管理系统和冷却策略的集成。