A Multi-time Scale Joint Online SOC&SOH Estimation Method for Energy Storage System
ID：54
Submission ID：151 View Protection：ATTENDEE
Updated Time：2021-12-03 10:33:03 Hits：363
Poster Presentation
Start Time：2021-12-17 15:15 （Asia/Shanghai）
Duration：5min
Session：[Z] Poster Session » [Z1] Poster Session 1: Renewable energy system
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Abstract
In order to effectively monitor the operating status and health of the single battery in the distributed energy storage system, timely issue early warning information of failures and provide decision-making basis for operation, inspection and maintenance, a joint online estimation method of single battery SOC(state of charge) and SOH(state of health) is proposed in this paper. First, the second-order circuit model of battery is used to construct state space model. Second, the constructed battery state space model is discretized, so a multi-time-scale SOC&SOH joint online estimation method based on the combination of a short-time-scale state filter and a longer-time-scale parameter filter is proposed. Finally, the effectiveness of the method proposed in this paper is verified by simulation.
Keywords
energy storage,SOC&SOH joint estimation,double extended Kalman filter,multiple time scales
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