Edge Jacqueline S, O'Kane Simon, Prosser Ryan, Kirkaldy Niall D, Patel Anisha N, Hales Alastair, Ghosh Abir, Ai Weilong, Chen Jingyi, Yang Jiang, Li Shen, Pang Mei-Chin, Bravo Diaz Laura, Tomaszewska Anna, Marzook M Waseem, Radhakrishnan Karthik N, Wang Huizhi, Patel Yatish, Wu Billy, Offer Gregory J
Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK.
The Faraday Institution, Quad One, Becquerel Avenue, Harwell Campus, Didcot, OX11 0RA, UK and Dyson School of Design Engineering, Imperial College London, London SW7 2AZ, UK.
Phys Chem Chem Phys. 2021 Apr 14;23(14):8200-8221. doi: 10.1039/d1cp00359c. Epub 2021 Mar 26.
The expansion of lithium-ion batteries from consumer electronics to larger-scale transport and energy storage applications has made understanding the many mechanisms responsible for battery degradation increasingly important. The literature in this complex topic has grown considerably; this perspective aims to distil current knowledge into a succinct form, as a reference and a guide to understanding battery degradation. Unlike other reviews, this work emphasises the coupling between the different mechanisms and the different physical and chemical approaches used to trigger, identify and monitor various mechanisms, as well as the various computational models that attempt to simulate these interactions. Degradation is separated into three levels: the actual mechanisms themselves, the observable consequences at cell level called modes and the operational effects such as capacity or power fade. Five principal and thirteen secondary mechanisms were found that are generally considered to be the cause of degradation during normal operation, which all give rise to five observable modes. A flowchart illustrates the different feedback loops that couple the various forms of degradation, whilst a table is presented to highlight the experimental conditions that are most likely to trigger specific degradation mechanisms. Together, they provide a powerful guide to designing experiments or models for investigating battery degradation.
锂离子电池从消费电子产品扩展到更大规模的运输和储能应用,使得了解导致电池退化的多种机制变得越来越重要。关于这个复杂主题的文献数量大幅增长;本观点旨在将当前知识提炼成简洁的形式,作为理解电池退化的参考和指南。与其他综述不同,这项工作强调了不同机制之间的耦合,以及用于触发、识别和监测各种机制的不同物理和化学方法,还有试图模拟这些相互作用的各种计算模型。退化被分为三个层次:实际机制本身、在电池层面可观察到的后果(称为模式)以及诸如容量或功率衰减等运行效应。发现了五种主要机制和十三种次要机制,这些通常被认为是正常运行期间退化的原因,所有这些机制都会导致五种可观察到的模式。一个流程图展示了耦合各种退化形式的不同反馈回路,同时还给出了一个表格,以突出最有可能触发特定退化机制的实验条件。它们共同为设计用于研究电池退化的实验或模型提供了有力指导。