Sliding Mode Observer of Lithium Battery SOC Based on Order Adaptive AR Equivalent Circuit Model

doi:10.12068/j.issn.1005-3026.2021.10.002

Abstract

Abstract: Based on the equivalent circuit model， the estimation method of the remaining state of charge (SOC) of a type of vehicle power battery shows that the estimation accuracy is highly dependent on the model accuracy and the model accuracy is directly proportional to the model complexity， so that it is difficult to be better applied to the embedded control unit problem. A new equivalent circuit model with relatively low complexity and capable of adaptively determining the optimal model order， i.e.， a gray box model of the equivalent circuit of the vehicle power battery based on the order adaptive AR model is proposed. Based on this gray box model， the design derivation of the sliding mode observer for the state of lithium-ion battery SOC and the proof of observability and convergence are given. The results show that the sliding mode observer SOC estimation method (adaptive autoregressive-sliding mode observer， AAR-SMO) based on the order-adaptive equivalent circuit gray box model proposed in this paper has low model complexity， high accuracy， strong robustness and fast convergence performance.

Key words: vehicle power battery; state of charge; autoregressive model; equivalent circuit model; sliding mode observer

CLC Number:

TP20

LIU Fang， LI Zhuo， SU Wei-xing， LIU Yang. Sliding Mode Observer of Lithium Battery SOC Based on Order Adaptive AR Equivalent Circuit Model[J]. Journal of Northeastern University(Natural Science), 2021, 42(10): 1376-1385.

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