Experimentally Validated Coulomb Counting Method for Battery State-of-Charge Estimation under Variable Current Profiles

Bachir Zine, Haithem Bia, Amel Benmouna (), Mohamed Becherif () and Mehroze Iqbal
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Bachir Zine: Mechanical Engineering Department, Faculty of Technology, University of Eloued, El Oued 39000, Algeria
Haithem Bia: Mechanical Engineering Department, Faculty of Technology, University of Eloued, El Oued 39000, Algeria
Amel Benmouna: ESTA, School of Business and Engineering, 90000 Belfort, France
Mohamed Becherif: Femto-ST, FCLAB, University Bourgogne Franche-Comte, CNRS, UTBM, 91110 Belfort, France
Mehroze Iqbal: Femto-ST, FCLAB, University Bourgogne Franche-Comte, CNRS, UTBM, 91110 Belfort, France

Energies, 2022, vol. 15, issue 21, 1-15

Abstract: Battery state of charge as an effective operational indicator is expected to play a crucial role in the advancement of electric vehicles, improving the battery capacity and energy utilization, avoiding battery overcharging and over-discharging, extending the battery’s useful lifespan, and extending the autonomy of electric vehicles. In context, this article presents a computationally efficient battery state-of-charge estimator based on the Coulomb counting technique with constant and variable discharging current profiles for an actual battery pack in real time. A dedicated experimental bench is developed for validation purposes, where pivotal measurements such as current, voltage, and temperature are initially measured during the charging/discharging cycle. The state of charge thus obtained via these measurements is then compared with the value estimated through the battery generic model. Detailed analysis with conclusive outcomes is finally presented to exhibit the flexible nature of the proposed method in terms of the precise state-of-charge estimation for a variety of batteries, ranging from lead–acid batteries for domestic applications to Li-ion batteries inside electric vehicles.

Keywords: state of charge; electric vehicle; coulomb counting approach; battery generic model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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