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Conference Papers Year : 2016

A Temperature-Aware Battery Cycle Life Model for Different Battery Chemistries

Enrico Macii
  • Function : Author
  • PersonId : 1015129
Massimo Poncino
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  • PersonId : 1015130
Alberto Bocca
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  • PersonId : 1015131
Donghwa Shin
  • Function : Author
  • PersonId : 1015133
Alberto Macii
  • Function : Author
  • PersonId : 1015134

Abstract

With the remarkable recent rise in the production of battery-powered devices, their reliability analysis cannot disregard the assessment of battery life. In the literature, there are several battery cycle life models that exhibit a generic trade-off between generality and accuracy.In this work we propose a compact cycle life model for batteries of different chemistries. Model parameters are obtained by fitting the curve based on information reported in datasheets, and can be adapted to the quantity and type of available data. Furthermore, we extend the basic model by including some derating factors when considering temperature and current rate as stress factors in cycle life.Applying the model to various commercial batteries yields an average estimation error, in terms of the number of cycles, generally smaller than 10 %. This is consistent with the typical tolerance provided in the datasheets.
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hal-01578612 , version 1 (29-08-2017)

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Enrico Macii, Massimo Poncino, Alberto Bocca, Alessandro Sassone, Donghwa Shin, et al.. A Temperature-Aware Battery Cycle Life Model for Different Battery Chemistries. 23th IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip (VLSI-SoC), Oct 2015, Daejeon, South Korea. pp.109-130, ⟨10.1007/978-3-319-46097-0_6⟩. ⟨hal-01578612⟩
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