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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
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Article

Adaptive State-of-Charge Indication System for Li-ion Battery-Powered Devices

by
V. Pop
1,*,
H.J. Bergveld
2,
D. Danilov
3,
P.P.H. Notten
3,4 and
P.P.L. Regtien
5
1
Holst Centre / IMEC-NL, High Tech Campus 48, 5656AE, Eindhoven, the Netherlands
2
NXP Research, High Tech Campus 5, 5656AE, Eindhoven, the Netherlands
3
Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, the Netherlands
4
Philips Research Laboratories, High Tech Campus 4, 5656AE, Eindhoven, the Netherlands
5
University of Twente, P.O. Box 217, 7500AE, Enschede, the Netherlands
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2007, 1(1), 38-45; https://0-doi-org.brum.beds.ac.uk/10.3390/wevj1010038
Published: 28 March 2008
Versions Notes

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.
Keywords: portable energy; Li-ion batteries; State-of-Charge (SoC); State-of-Health (SoH) portable energy; Li-ion batteries; State-of-Charge (SoC); State-of-Health (SoH)

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MDPI and ACS Style

Pop, V.; Bergveld, H.J.; Danilov, D.; Notten, P.P.H.; Regtien, P.P.L. Adaptive State-of-Charge Indication System for Li-ion Battery-Powered Devices. World Electr. Veh. J. 2007, 1, 38-45. https://0-doi-org.brum.beds.ac.uk/10.3390/wevj1010038

AMA Style

Pop V, Bergveld HJ, Danilov D, Notten PPH, Regtien PPL. Adaptive State-of-Charge Indication System for Li-ion Battery-Powered Devices. World Electric Vehicle Journal. 2007; 1(1):38-45. https://0-doi-org.brum.beds.ac.uk/10.3390/wevj1010038

Chicago/Turabian Style

Pop, V., H.J. Bergveld, D. Danilov, P.P.H. Notten, and P.P.L. Regtien. 2007. "Adaptive State-of-Charge Indication System for Li-ion Battery-Powered Devices" World Electric Vehicle Journal 1, no. 1: 38-45. https://0-doi-org.brum.beds.ac.uk/10.3390/wevj1010038

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