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

被引:9
|
作者
Zine, Bachir [1 ]
Bia, Haithem [1 ]
Benmouna, Amel [2 ,3 ]
Becherif, Mohamed [3 ]
Iqbal, Mehroze [3 ]
机构
[1] Univ Eloued, Fac Technol, Mech Engn Dept, El Oued 39000, Algeria
[2] ESTA, Sch Business & Engn, F-90000 Belfort, France
[3] Univ Bourgogne Franche Comte, Femto ST, FCLAB, CNRS,UTBM, F-91110 Belfort, France
关键词
state of charge; electric vehicle; coulomb counting approach; battery generic model; LITHIUM-ION BATTERY; LEAD-ACID-BATTERIES; NEURAL-NETWORK; ACCURATE STATE; KALMAN FILTER; MODEL; IMPEDANCE; HEALTH; VOLTAGE;
D O I
10.3390/en15218172
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
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页数:15
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