汽车工业
电池(电)
计算机科学
汽车工程
电池组
透视图(图形)
失效物理学
钥匙(锁)
工作(物理)
系统工程
可靠性(半导体)
可靠性工程
工程类
机械工程
航空航天工程
功率(物理)
计算机安全
人工智能
物理
量子力学
作者
Jie Deng,Chulheung Bae,James Marcicki,Alvaro Masias,Theodore Miller
出处
期刊:Nature Energy
[Nature Portfolio]
日期:2018-04-12
卷期号:3 (4): 261-266
被引量:317
标识
DOI:10.1038/s41560-018-0122-3
摘要
To optimize the safety of batteries, it is important to understand their behaviours when subjected to abuse conditions. Most early efforts in battery safety modelling focused on either one battery cell or a single field of interest such as mechanical or thermal failure. These efforts may not completely reflect the failure of batteries in automotive applications, where various physical processes can take place in a large number of cells simultaneously. In this Perspective, we review modelling and testing approaches for battery safety under abuse conditions. We then propose a general framework for large-scale multi-physics modelling and experimental work to address safety issues of automotive batteries in real-world applications. In particular, we consider modelling coupled mechanical, electrical, electrochemical and thermal behaviours of batteries, and explore strategies to extend simulations to the battery module and pack level. Moreover, we evaluate safety test approaches for an entire range of automotive hardware sets from cell to pack. We also discuss challenges in building this framework and directions for its future development. Battery safety is a key focus in the design of electrified vehicles. Here, the authors survey literature approaches for modelling and testing battery safety under abuse conditions, and propose a multi-physics modelling and testing framework for real applications.
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