Second-Life Battery Capacity Estimation and Method Comparison

Jingxi Yang (), Matthew Beatty, Dani Strickland, Mina Abedi-Varnosfaderani and Joe Warren
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Jingxi Yang: Centre for Renewable Energy Systems Technology, Loughborough University, Loughborough LE11 3TU, UK
Matthew Beatty: Centre for Renewable Energy Systems Technology, Loughborough University, Loughborough LE11 3TU, UK
Dani Strickland: Centre for Renewable Energy Systems Technology, Loughborough University, Loughborough LE11 3TU, UK
Mina Abedi-Varnosfaderani: Centre for Renewable Energy Systems Technology, Loughborough University, Loughborough LE11 3TU, UK
Joe Warren: PowerVault Ltd., Garrick Industrial Centre, Garrick Industrial Estate, Irving Way, London NW9 6AQ, UK

Energies, 2023, vol. 16, issue 7, 1-17

Abstract: There is increased talk about using second-life batteries in applications. In first-life applications, the batteries start from new, and a range of life cycle estimation techniques are applied. However, it is not clear how second-life batteries should be monitored compared to first life batteries. This paper investigated different algorithms from first-life applications for estimating and forecasting battery cell state of health in conjunction with capacity calculations using second life cells under long term durability testing. The paper looks at how close these models predict capacity fade based on a set of second-life batteries that have been undertaking sweat testing over six different applications. The paper concludes that there are two methods that could be suitable candidates for predicting lifespan. One of these needed to be modified from the original.

Keywords: energy storage; second-life battery; capacity estimation; capacity fade remaining useful life (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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