Life prediction of batteries for selecting the technically most suitable and cost effective battery
Life prediction of batteries for selecting the technically most suitable and cost effective battery
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DOI：
10.1016/j.jpowsour.2004.11.045
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发表时间：
2005-06
影响因子：
9.2
通讯作者：
H. Wenzl;I. Baring-Gould;R. Kaiser;B. Liaw;Per Lundsager;Jim Manwell;Alan Ruddell;V. Svoboda
中科院分区：
文献类型：
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作者：
H. Wenzl;I. Baring-Gould;R. Kaiser;B. Liaw;Per Lundsager;Jim Manwell;Alan Ruddell;V. Svoboda
为了在系统设计阶段做出合理的技术和商业决策，必须能够预测目标应用中电池的寿命。一般来说，准确的寿命预测需要的不仅仅是老化过程和电池型号的可用性知识。必须使用一种简明的程序，将电池的用户要求、操作制度和操作条件与老化过程和性能损失联系起来。量化的生命周期终止标准的定义必须考虑到应用程序要求的细节。为了验证寿命预测模型，需要有新电池时和紧接更换之前的数据、尸检分析结果和操作的详细数据。本文介绍了一种可用于寿命预测的程序，概述了预测的一些要求，并讨论了电池模型的原理及其在寿命预测中的潜在应用。
It is necessary to be able to predict the lifetime of a battery in target applications in order to make sound technical and commercial decisions at the system design stage. In general, accurate lifetime prediction requires more than knowledge of ageing processes and the availability of battery models. A concise procedure linking user requirements, operating regimes and operating conditions of batteries to ageing processes and loss of performance has to be used. Quantified end-of-life criteria have to be defined with the details of the application requirements in mind. To verify lifetime prediction models it is necessary to have data of the battery when new and immediately before replacement, results of post mortem analysis and detailed data of the operation. This paper describes a procedure that can be used for lifetime prediction, outlines some of the requirements for a prediction and discusses the principles of battery models and their potential use for lifetime prediction.