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Batteries 2016, 2(2), 7; doi:10.3390/batteries2020007

Fast Characterization Method for Modeling Battery Relaxation Voltage

1
SERT Metal of VESUVIUS Group, 69150 Décines, France
2
Univ Lyon, IFSTTAR-AME-LTE, 69675 Bron Cedex, France
3
Univ Lyon, Lyon 1 University, Ampere laboratory UMR CNRS 5005, 69622 Villeurbanne Cedex, France
4
Renault, 78280 Guyancourt, France
Former Ph.D. Student Funded by Renault at Ampere Laboratory, Lyon 1 University, 69622 Villeurbanne Cedex, France
*
Author to whom correspondence should be addressed.
Academic Editor: Juan Carlos Álvarez Antón
Received: 29 January 2016 / Revised: 21 March 2016 / Accepted: 23 March 2016 / Published: 6 April 2016
(This article belongs to the Special Issue Battery Modeling)
View Full-Text   |   Download PDF [4057 KB, uploaded 6 April 2016]   |  

Abstract

After the end of a charging or discharging sequence, the battery voltage keeps evolving towards a finite value, during hours or even days, although no current is exchanged with the battery. This corresponds to the battery relaxation. In the context of electric vehicles (EV), a good measurement of the voltage at rest allows an accurate estimation of the battery state of charge (SoC). The characterization of the battery voltage at different levels of SoC after the full relaxation would be very time consuming. In this paper, a fast method to extrapolate long relaxation voltage is proposed. It needs only one complete measurement of relaxation at one given SoC and could give accurate voltage estimation at other states of charge from short and partial measurement. This generic method was validated on three different cells and could be easily extended to any type of battery. View Full-Text
Keywords: batteries; relaxation; characterization; modeling batteries; relaxation; characterization; modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, A.; Pelissier, S.; Venet, P.; Gyan, P. Fast Characterization Method for Modeling Battery Relaxation Voltage. Batteries 2016, 2, 7.

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