A Novel Observer for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles Based on a Second-Order Equivalent Circuit Model

Bizhong Xia, Wenhui Zheng, Ruifeng Zhang, Zizhou Lao and Zhen Sun
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Bizhong Xia: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Wenhui Zheng: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Ruifeng Zhang: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Zizhou Lao: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Zhen Sun: Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China

Energies, 2017, vol. 10, issue 8, 1-20

Abstract: Accurate state of charge (SOC) estimation can prolong lithium-ion battery life and improve its performance in practice. This paper proposes a new method for SOC estimation. The second-order resistor-capacitor (2RC) equivalent circuit model (ECM) is applied to describe the dynamic behavior of lithium-ion battery on deriving state space equations. A novel method for SOC estimation is then presented. This method does not require any matrix calculation, so the computation cost can be very low, making it more suitable for hardware implementation. The Federal Urban Driving Schedule (FUDS), The New European Driving Cycle (NEDC), and the West Virginia Suburban Driving Schedule (WVUSUB) experiments are carried to evaluate the performance of the proposed method. Experimental results show that the SOC estimation error can converge to 3% error boundary within 30 seconds when the initial SOC estimation error is 20%, and the proposed method can maintain an estimation error less than 3% with 1% voltage noise and 5% current noise. Further, the proposed method has excellent robustness against parameter disturbance. Also, it has higher estimation accuracy than the extended Kalman filter (EKF), but with decreased hardware requirements and faster convergence rate.

Keywords: state of charge; lithium-ion battery; electric vehicles; novel observer (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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