An Estimation Strategy of Lithium Battery SOC Based on Gauss-Hermite Filter

Jin Zhi Zhou; Wen Yu Jian

doi:10.4028/www.scientific.net/AMM.492.147

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 492An Estimation Strategy of Lithium Battery SOC...

An Estimation Strategy of Lithium Battery SOC Based on Gauss-Hermite Filter

Abstract:

Battery state of charge (SOC) can directly reflect its sustainable power supply capacity and health. It is important basis to formulate balance and energy management strategy for battery management system (BMS). In this paper, a second-order RC battery model with factors affected battery characteristics was established based on the Gauss-Hermite quadrature filter (GHQF) theory. According to Kirchhoffs law a state space model was established and the parameters in the model were identified. The GHQF algorithm and model were verified, and comparison was made to an extended Kalman filter (EKF) algorithm on the Matlab and Simulink simulation platform.

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Periodical:

Applied Mechanics and Materials (Volume 492)

Pages:

147-150

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.492.147

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Online since:

January 2014

Authors:

Jin Zhi Zhou*, Wen Yu Jian

Keywords:

Battery Management System (BMS), Extended Kalman Flter (EKF), Gauss-Hermite Quadrature Filter (GHQF), State of Charge (SOC)

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