电池(电)
计算机科学
可靠性工程
锂离子电池
机器学习
工程类
功率(物理)
物理
量子力学
出处
期刊:Nature
[Nature Portfolio]
日期:2019-04-01
卷期号:568 (7752): 325-326
被引量:86
标识
DOI:10.1038/d41586-019-01138-1
摘要
Highly reliable methods for predicting battery lives are needed to develop safe, long-lasting battery systems. Accurate predictive models have been developed using data collected from batteries early in their lifetime. Models of lithium-ion battery life produced using data from batteries early in their lifetime.
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