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Energies 2017, 10(10), 1560;

State of Charge Estimation for Lithium-Ion Battery with a Temperature-Compensated Model

School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Author to whom correspondence should be addressed.
Received: 3 September 2017 / Revised: 29 September 2017 / Accepted: 30 September 2017 / Published: 11 October 2017
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Accurate estimation of the state of charge (SOC) of batteries is crucial in a battery management system. Many studies on battery SOC estimation have been investigated recently. Temperature is an important factor that affects the SOC estimation accuracy while it is still not adequately addressed at present. This paper proposes a SOC estimator based on a new temperature-compensated model with extended Kalman Filter (EKF). The open circuit voltage (OCV), capacity, and resistance and capacitance (RC) parameters in the estimator are temperature dependent so that the estimator can maintain high accuracy at various temperatures. The estimation accuracy decreases when applied in high current continuous discharge, because the equivalent polarization resistance decreases as the discharge current increases. Therefore, a polarization resistance correction coefficient is proposed to tackle this problem. The estimator also demonstrates a good performance in dynamic operating conditions. However, the equivalent circuit model shows huge uncertainty in the low SOC region, so measurement noise variation is proposed to improve the estimation accuracy there. View Full-Text
Keywords: Lithium-ion batteries; state of charge; temperature-compensated model; EKF Lithium-ion batteries; state of charge; temperature-compensated model; EKF

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Yang, S.; Deng, C.; Zhang, Y.; He, Y. State of Charge Estimation for Lithium-Ion Battery with a Temperature-Compensated Model. Energies 2017, 10, 1560.

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