Investigating the impact of battery arrangements on thermal management performance of lithium-ion battery pack design

IF 2.1 4区 工程技术 Advances in Mechanical Engineering Pub Date : 2024-09-10 DOI:10.1177/16878132241272144
Haibing Li, Yaoliang Ye, Zhenjie Zhang, Wei Yu, Zhongbo Zhang, Wenbo Zhu
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Abstract

The working temperature is one of the key factors affecting the efficiency and safety performance of automotive power batteries. Current battery pack design primarily focuses on single layout configurations, overlooking the potential impact of mixed arrangements on thermal management performance. This study presents a module-based optimization methodology for comprehensive concept design of Lithium-ion (Li-ion) battery pack. Firstly, the arrangement modules is optimized and performed using particle swarm optimization algorithms considering various arrangement layout (i.e. rectangular, diamond, and staggered arrangements) by taking the intercell spacing and maximum temperature of the modules as design objectives. Secondly, the battery pack configuration design is performed employing a neural network model reflect diverse battery module configurations within the pack, exploring their impact on thermal management performance. The hybrid battery arrangement effectively improves thermal management, and the module spacing helps to enhance heat dissipation. The staggered arrangement has a greater impact on the heat dissipation performance of the battery pack, but the spacing between different modules varies with the position of the modules. When all configuration schemes are staggered modules, the optimal range of the spacing between modules is between 6 and 7 mm. However, the study observes a non-linear relationship between module spacing and the maximum temperature difference within the battery pack. While increasing module spacing initially decreases temperature differences, it eventually reverses, suggesting that spacing alone may not consistently enhance thermal management. Validation with a lithium-ion battery pack case study demonstrates the method’s effectiveness, providing valuable knowledge for future cell and pack designs that employ different battery cell arrangements and diverse cooling strategies.
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研究电池排列对锂离子电池组设计热管理性能的影响
工作温度是影响汽车动力电池效率和安全性能的关键因素之一。目前的电池组设计主要关注单一布局配置,忽略了混合布局对热管理性能的潜在影响。本研究针对锂离子(Li-ion)电池组的综合概念设计提出了一种基于模块的优化方法。首先,以电池单元间距和模块最高温度为设计目标,采用粒子群优化算法对各种排列布局(即矩形、菱形和交错排列)的排列模块进行优化。其次,采用神经网络模型进行电池组配置设计,反映电池组内不同的电池模块配置,探索它们对热管理性能的影响。混合电池排列有效改善了热管理,模块间距有助于提高散热性能。交错排列对电池组的散热性能影响更大,但不同模块之间的间距随模块位置的变化而变化。当所有配置方案都采用交错模块时,模块间距的最佳范围为 6 至 7 毫米。然而,研究发现模块间距与电池组内最大温差之间存在非线性关系。虽然增加模块间距最初会减小温差,但最终会发生逆转,这表明仅靠间距可能无法持续增强热管理。锂离子电池组案例研究验证了该方法的有效性,为未来采用不同电池单元排列和不同冷却策略的电池单元和电池组设计提供了宝贵的知识。
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来源期刊
Advances in Mechanical Engineering
Advances in Mechanical Engineering Engineering-Mechanical Engineering
自引率
4.80%
发文量
353
期刊介绍: Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering
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