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储能系统技术
★ 5.0
锂离子电池多尺度建模综合综述:从电化学动力学到电池热管理系统中的传热
Comprehensive review of multi-scale Lithium-ion batteries modeling: From electro-chemical dynamics up to heat transfer in battery thermal management system
| 作者 | Magui Mam · Elie Solai · Tommaso Capurs · Amelie Danlo · Sofiane Khelladi |
| 期刊 | Energy Conversion and Management |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 325 卷 |
| 技术分类 | 储能系统技术 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Lithium-ion battery electrochemical and thermal dynamics are comprehensively reviewed. |
语言:
中文摘要
摘要 锂离子电池技术的快速发展伴随着新能源存储时代在各个领域的到来,例如交通(电动汽车)、电力生产与调度。随着对更高性能、更长寿命和更高安全性的需求不断增长,开发复杂的建模方法已成为预测和优化电池行为的关键工具。本综述整合了当前锂离子电池建模领域的最新进展,涵盖从颗粒级模拟到电池包级热管理系统的多个尺度,涉及粒子尺度的简化方法、微观尺度的电化学模型以及包含热效应和产热预测的电池尺度电气模型。此外,作者强调了将高精度的基于物理机制的模型与热力学方法(如电化学-热耦合模型)相结合的日益增长趋势,以全面应对多尺度挑战。通过捕捉电化学现象与热动态过程,并建立对电池动力学行为的全面理解,诸如热失控等安全风险可被有效缓解。作者重点讨论了计算效率与模型复杂性之间的权衡关系,系统阐述了不同建模方法的局限性、优势及其适用场景。本综述还阐明了电池管理系统与冷却策略之间的集成路径。
English Abstract
Abstract 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.
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SunView 深度解读
该多尺度锂电池建模技术对阳光电源ST系列储能变流器和PowerTitan系统具有重要应用价值。电化学-热耦合模型可优化BMS热管理策略,提升电池安全性和寿命预测精度。粒子级到Pack级的多尺度仿真方法可指导储能系统热失控防护设计,增强iSolarCloud平台的预测性维护能力。该建模框架亦可应用于充电桩产品的电池健康状态评估,支撑阳光电源在储能和充电领域的系统级优化创新。