State Estimation Technique for VRLA Batteries for Automotive Applications

Van Huan Duong; Ngoc Tham Tran; Woojin Choi; Dae-Wook Kim

State Estimation Technique for VRLA Batteries for Automotive Applications

Vol. 16, No. 1, pp. 238-248, Jan. 2016

10.6113/JPE.2016.16.1.238

Dual Extended Kalman Filter (DEFK)

Hysteresis Effect

Diffusion Effect

Idle Start?Stop (ISS) System

State-of-Charge (SOC)/State-of-Health (SOH) Estimation

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Abstract

The state-of-charge (SOC) and state-of-health (SOH) estimation of batteries play important roles in managing batteries for automotive applications. However, an accurate state estimation of a battery is difficult to achieve because of certain factors, such as measurement noise, highly nonlinear characteristics, strong hysteresis phenomenon, and diffusion effect of batteries. In certain vehicular applications, such as idle stop?start systems (ISSs), significant errors in SOC/SOH estimation may lead to a failure in restarting a combustion engine after the shut-off period of the engine when the vehicle is at rest, such as at a traffic light. In this paper, a dual extended Kalman filter algorithm with a dynamic equivalent circuit model of a lead?acid battery is proposed to deal with this problem. The proposed algorithm adopts a battery model by taking into account the hysteresis phenomenon, diffusion effect, and parameter variations for accurate state estimations of the battery. The validity of the proposed algorithm is verified through experiments by using an absorbed glass mat valve-regulated lead?acid battery and a battery sensor cable for commercial ISS vehicles.

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Cite this article

[IEEE Style]

V. H. Duong, N. T. Tran, W. Choi, D. Kim, "State Estimation Technique for VRLA Batteries for Automotive Applications," Journal of Power Electronics, vol. 16, no. 1, pp. 238-248, 2016. DOI: 10.6113/JPE.2016.16.1.238.

[ACM Style]

Van Huan Duong, Ngoc Tham Tran, Woojin Choi, and Dae-Wook Kim. 2016. State Estimation Technique for VRLA Batteries for Automotive Applications. Journal of Power Electronics, 16, 1, (2016), 238-248. DOI: 10.6113/JPE.2016.16.1.238.