Peukert-Equation-Based State-of-Charge Estimation for LiFePO4 Batteries Considering the Battery Thermal Evolution Effect

Jiale Xie, Jiachen Ma and Jun Chen
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Jiale Xie: School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Jiachen Ma: School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Jun Chen: Department of Mechanical Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China

Energies, 2018, vol. 11, issue 5, 1-14

Abstract: To achieve accurate state-of-charge (SoC) estimation for LiFePO 4 (lithium iron phosphate) batteries under harsh conditions, this paper resorts to the Peukert’s law to accommodate different temperatures and load excitations. By analyzing battery heat generation and dissipation, a thermal evolution model (TEM) is elaborated and exploited for on-line parameter identification of the equivalent circuit model (ECM). Then, a SoC estimation framework is proposed based on the Adaptive Extended Kalman Filter (AEKF) algorithm. Experimental results on a LiFePO 4 pack subject to the Federal Urban Driving Schedule (FUDS) profile under different temperatures and initial states suggest that the proposed SoC estimator provides good robustness and accuracy against changing temperature and highly dynamic loads.

Keywords: state-of-charge; thermal evolution model; Peukert equation; adaptive extended Kalman filter (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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