Abstract
The health assessment for energy storage batteries matters in the context of carbon neutrality. Dual closed-loops capacity framework integrated with a reduced-order electrochemical model including triple side reactions is put forward, realizing parameter correction for health evaluation. Simplified microgrid aging experiment is formulated to test the closed-loop matching between the aging mechanism and electrochemical model relying on incremental capacity analysis. In addition, taking into account the future degradation prediction for energy storage system, the reliable capacity output afterwards acts as references for closed-loop parameter updating in empirical model to predict degradation evolution. The framework proposed implements the closed-loop dynamic updating for aging parameters with ideal error within 2%, making up for the lack of aging mechanism interpretation of accustomed empirical or data-driven black box model in the field of energy storage batteries.
Highlights
The microgrid dominated by renewable energy for electricity generation is believed to be a potential solution to alleviate the increasing regional charging burden of electric vehicles (EVs)
When physicaldegradation degradationmodel model is implemented in evaluating the battery status with energy storage conditions, it is essential to consider the applicability under the health status with energy storage conditions, it is essential to consider the applicability practical operations
The dual closed-loops capacity framework is proposed for the mechanism explanation and parameter updating of energy storage batteries
Summary
The microgrid dominated by renewable energy for electricity generation is believed to be a potential solution to alleviate the increasing regional charging burden of electric vehicles (EVs). Battery aging models for energy storage conditions can generally be divided into empirical-based and electrochemical-based model. To balance the trade-off between authenticity and computational cost, the reduced-order physical aging model represents a feasible solution for health assessment under microgrid energy storage conditions. Based on the physical degradation mechanism, the reduced-order capacity loss model of the graphite-LiFePO4 battery is proposed in [10], yet has the effectiveness with actual microgrid operating conditions not been verified. As far as we know, the physically-based reduced-order battery aging model with energy storage conditions has not been deduced or verified by experiments. To make up for this research gap, this paper brings forward a coupled reduced-order degradation model for energy storage batteries, in which the side reactions include solid electrolyte interface (SEI) layer growth, the loss of active materials (LAM) and lithium plating.
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