Adaptive state-of-charge indication system for Li-ion battery-powered devices

V. Pop; H. J. Bergveld; D. Danilov; P. P.H. Notten; P. P.L. Regtien

doi:10.3390/wevj1010038

Adaptive state-of-charge indication system for Li-ion battery-powered devices

V. Pop^*, H. J. Bergveld, D. Danilov, P. P.H. Notten, P. P.L. Regtien

^*Corresponding author for this work

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

9 Citations (Scopus)

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Abstract

An algorithm that combines adaptive system with Electro-Motive-Force (EMF) measurements during equilibrium and current measurement and integration during (dis)charge states has been implemented in a real-time SoC evaluation system. During the discharge state also the effect of the overpotential is considered. The overpotential model includes a variety of parameters that are changing during cycling of the battery. Adaptive methods for the battery maximum capacity and for the overpotential model parameters are presented in this paper. The final aim is to predict the SoC and the remaining run-time of a Li-ion battery within 1% inaccuracy under all realistic user conditions.

Original language	English
Pages (from-to)	38-45
Number of pages	8
Journal	World Electric Vehicle Journal
Volume	1
Issue number	1
DOIs	https://doi.org/10.3390/wevj1010038
Publication status	Published - 1 Dec 2007

Keywords

Li-ion batteries
Portable energy
State-of-Charge (SoC)
State-of-Health (SoH)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/wevj1010038Licence: CC BY

10.3390_wevj1010038Final published version, 541 KBLicence: CC BY

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AU - Bergveld, H. J.

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AU - Notten, P. P.H.

AU - Regtien, P. P.L.

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KW - Li-ion batteries

KW - Portable energy

KW - State-of-Charge (SoC)

KW - State-of-Health (SoH)

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Adaptive state-of-charge indication system for Li-ion battery-powered devices

Abstract

Keywords

UN SDGs

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