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Batteries 2016, 2(2), 7;

Fast Characterization Method for Modeling Battery Relaxation Voltage

SERT Metal of VESUVIUS Group, 69150 Décines, France
Univ Lyon, IFSTTAR-AME-LTE, 69675 Bron Cedex, France
Univ Lyon, Lyon 1 University, Ampere laboratory UMR CNRS 5005, 69622 Villeurbanne Cedex, France
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)
Full-Text   |   PDF [4057 KB, uploaded 6 April 2016]   |  


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

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

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