Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells
Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells
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Date
2019-07-29
Authors
Diao, Weiping
Saxena, Saurabh
Han, Bongtae
Pecht, Michael
Advisor
Citation
Diao, W.; Saxena, S.; Han, B.; Pecht, M. Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells. Energies 2019, 12, 2910.
Abstract
Lithium-ion batteries typically exhibit a transition to a more rapid capacity fade trend when subjected to extended charge–discharge cycles and storage conditions. The identification of the knee point can be valuable to identify the more severe degradation trend, and to provide guidance when scheduling battery replacements and planning secondary uses of the battery. However, a concise and repeatable determination of a knee point has not been documented. This paper provides a definition of the knee point which can be used as a degradation metric, and develops an algorithm to identify it. The algorithm is implemented on various data cases, and the results indicate that the approach provides repeatable knee point identification.