RLS-based adaptive equivalent circuit model for lithium batteries under full working conditions

doi:10.19799/j.cnki.2095-4239.2023.0450

Abstract

Abstract:

This study uses a dual-polarization (DP) model to improve the identification accuracy of the battery model parameters and the model adaptability. According to the different time-varying characteristics of the model parameters, the identification process of the ohmic resistance is first separated to reduce the number of parameters that must be identified by the recursive least square (RLS). The mutual influence of the parameters is then reduced to improve the RLS identification accuracy and decrease the amount of computation. Considering the adaptability of the online and offline identifications of the model parameters to different working conditions, a full working condition-adaptive output equivalent circuit model (ECM) is proposed herein to further improve the model accuracy. Based on the model accuracy and the running speed, a model evaluation method is finally established to verify the superiority of the adaptive output ECM. The simulation experiments show that the RLS-based full working condition-adaptive output ECM has a higher accuracy than the R-DP online model with a known ohmic resistance, DP online model, and DP offline model and achieves a better accuracy and speed balance.

Key words: battery model, parameters identification, RLS, model accuracy, full working condition

CLC Number:

TM 912.8

Xiangwei GUO, Chen WANG, Gang CHEN, Xiaozhuo XU. RLS-based adaptive equivalent circuit model for lithium batteries under full working conditions[J]. Energy Storage Science and Technology, 2023, 12(10): 3230-3241.

Figures/Tables 17

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Model type	DP online/V	R-DP online/V
Custom	0.02848	0.02019
ECE	0.01676	0.01191

Model type	R-DP online/V	DP offline/V	Adaptive-output/V
Custom	0.02019	0.05245	0.0117
ECE	0.01191	0.01974	0.00971

Model type	Simulation time/s
Model type	Custom	ECE
DP offline	0.1787	0.1863
DP online	0.3144	0.2881
R-DP online	0.2725	0.2511
Adaptive output	0.2967	0.2633

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