Quantitative analysis of lithium-Ion battery capacity prediction via adaptive bathtub-shaped function

Yi Chen; Qiang  Miao; Bin  Zheng; Shaomin  Wu; Michael  Pecht

doi:10.3390/en6063082

Quantitative analysis of lithium-Ion battery capacity prediction via adaptive bathtub-shaped function

Yi Chen, Qiang Miao, Bin Zheng, Shaomin Wu, Michael Pecht

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Batteries are one of the most important components in many mechatronics systems, as they supply power to the systems and their failures may lead to reduced performance or even catastrophic results. Therefore, the prediction analysis of remaining useful life (RUL) of batteries is very important. This paper develops a quantitative approach for battery RUL prediction using an adaptive bathtub-shaped function (ABF). ABF has been utilised to model the normalised battery cycle capacity prognostic curves, which attempt to predict the remaining battery capacity with given historical test data.

Original language	English
Pages (from-to)	3082-3096
Number of pages	15
Journal	Energies
Volume	6
Issue number	6
DOIs	https://doi.org/10.3390/en6063082
Publication status	Published - 21 Jun 2013

Keywords

lithium battery
mechatronics
battery capacity

Documents and Links

10.3390/en6063082

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title = "Quantitative analysis of lithium-Ion battery capacity prediction via adaptive bathtub-shaped function",

abstract = "Batteries are one of the most important components in many mechatronics systems, as they supply power to the systems and their failures may lead to reduced performance or even catastrophic results. Therefore, the prediction analysis of remaining useful life (RUL) of batteries is very important. This paper develops a quantitative approach for battery RUL prediction using an adaptive bathtub-shaped function (ABF). ABF has been utilised to model the normalised battery cycle capacity prognostic curves, which attempt to predict the remaining battery capacity with given historical test data. ",

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AB - Batteries are one of the most important components in many mechatronics systems, as they supply power to the systems and their failures may lead to reduced performance or even catastrophic results. Therefore, the prediction analysis of remaining useful life (RUL) of batteries is very important. This paper develops a quantitative approach for battery RUL prediction using an adaptive bathtub-shaped function (ABF). ABF has been utilised to model the normalised battery cycle capacity prognostic curves, which attempt to predict the remaining battery capacity with given historical test data.

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KW - mechatronics

KW - battery capacity

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