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Energies 2018, 11(9), 2467; https://doi.org/10.3390/en11092467

Nonlinear Temperature-Dependent State Model of Cylindrical LiFePO4 Battery for Open-Circuit Voltage, Terminal Voltage and State-of-Charge Estimation with Extended Kalman Filter

1
Faculty of Science, Agriculture and Engineering, Newcastle University Singapore, Singapore 599493, Singapore
2
School of Engineering, Temasek Polytechnic, Singapore 529757, Singapore
3
School of Automotive Engineering, Chongqing University, Chongqing 400044, China
*
Author to whom correspondence should be addressed.
Received: 27 August 2018 / Revised: 13 September 2018 / Accepted: 15 September 2018 / Published: 17 September 2018
(This article belongs to the Special Issue 10 Years Energies - Horizon 2028)
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Abstract

Ambient temperature affects the performance of a battery power system and its accuracy in state-of-charge (SOC) estimation for electric vehicles and smart grid systems. This paper proposes a battery model that considered ambient temperature, cell temperature, hysteresis voltage and thermal aging on capacity due to multiple charging and discharging. The SOC is then estimated using an extended Kalman filter. Several forms of validation were tested on an actual cell battery under specific ambient temperatures to verify the battery cell model, terminal voltage and SOC estimation performance. The SOC estimation results show an improvement in root-mean-squared error as compared to Extended Kalman Filter (EKF) without considering the temperature dependency. The proposed battery temperature-dependent model gave a smaller root-mean square error in SOC and terminal voltage at 5 °C, 15 °C and 45 °C. View Full-Text
Keywords: lithium iron phosphate battery cell (ANR26650M1-B); ambient temperature; cell temperature; hysteresis voltage; thermal aging; static capacity; extended Kalman filter; terminal voltage; state of charge lithium iron phosphate battery cell (ANR26650M1-B); ambient temperature; cell temperature; hysteresis voltage; thermal aging; static capacity; extended Kalman filter; terminal voltage; state of charge
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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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Chin, C.S.; Gao, Z.; Chiew, J.H.K.; Zhang, C. Nonlinear Temperature-Dependent State Model of Cylindrical LiFePO4 Battery for Open-Circuit Voltage, Terminal Voltage and State-of-Charge Estimation with Extended Kalman Filter. Energies 2018, 11, 2467.

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