Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Research Paper
Recursive Estimation of Effective Resistance for Rechargeable Batteries with μ-Markov Model
Takahiro KawaguchiTakahiro OhyamaIchiro MarutaKensuke OsamuraJumpei KatashibaShuichi Adachi
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2021 Volume 52 Issue 6 Pages 1323-1328

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Abstract
This paper proposes a recursive estimation method of the effective resistance, which is a feature used to estimate the state of power of a battery. In the proposed method, a model of the internal impedance is constructed with a system identification technique, and the effective resistance is calculated from the model. This paper considers what structure of the model is appropriate for the calculation of the effective resistance and proposes using a model named μ-Markov model. This structure helps to reduce the number of estimated parameters and computational burden. The model is extended to be applied for data that have an offset. The parameters of the model are estimated by the recursive leastsquares with a forgetting factor. The effectiveness of the proposed method is verified through a numerical simulation and an experiment.
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© 2021 Society of Automotive Engineers of Japan, Inc.
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