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Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model

机译:基于组合电池等效电路模型的自适应增益滑模观测器用于充电状态估计

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摘要

An adaptive gain sliding mode observer (AGSMO) for battery state of charge (SOC) estimation based on a combined battery equivalent circuit model (CBECM) is presented. The error convergence of the AGSMO for the SOC estimation is proved by Lyapunov stability theory. Comparing with conventional sliding mode observers for the SOC estimation, the AGSMO can minimise chattering levels and improve the accuracy by adaptively adjusting switching gains to compensate modelling errors. To design the AGSMO for the SOC estimation, the state equations of the CBECM are derived to capture dynamics of a battery. A lithium-polymer battery (LiPB) is used to conduct experiments for extracting parameters of the CBECM and verifying the effectiveness of the proposed AGSMO for the SOC estimation.
机译:提出了一种基于组合电池等效电路模型(CBECM)的用于电池电量状态(SOC)估计的自适应增益滑模观察器(AGSMO)。李雅普诺夫稳定性理论证明了用于GSM估计的AGSMO的误差收敛。与用于SOC估计的传统滑模观察器相比,AGSMO可以通过自适应地调整开关增益以补偿建模误差,从而最大程度地减少抖动水平并提高精度。为了设计用于SOC估计的AGSMO,导出CBECM的状态方程以捕获电池的动态。锂聚合物电池(LiPB)用于进行实验,以提取CBECM的参数并验证所提出的AGSMO用于SOC估计的有效性。

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