Performance comparison of four lithium–ion battery technologies under calendar aging

By A. Eddahech, O. Briat, J. Vinassa. 2015

163 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1cd5761932eff103758b46cbba491ae79e3cbe02

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1. Qiaochu Tang
2. Yunwei Zhang
3. Jiabin Wang
4. Yao Zhang
5. Alpha Albert Lee
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7. Billy Wu

Citations in the corpus

• Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning (2020, background): “…impedance spectroscopy (EIS), which obtains the impedance over a wide range of frequencies by measuring the current response to a voltage perturbation or vice versa 19 – 21 , is known to contain rich information on all materials properties, interfacial phenomena and electrochemical reactions.”