Method and system for evaluating super-large-scale energy storage power station battery health state

Abstract

The invention discloses a super-large-scale energy storage power station battery health state evaluation method and system; the method comprises the steps: carrying out the standard deviation analysis of a preset evaluation index and energy storage battery health state correlation model, thereby obtaining an overall standard deviation and a sample relative standard deviation; then multiplying the total standard deviation by the average of the battery external characteristic state data to obtain a variable coefficient; calculating the evaluation indexes based on the maximum membership degree principle, and acquiring the weights of the evaluation indexes; according to a comprehensive proportion set by the sample relative standard deviation, the variable coefficient and the weight of each evaluation index, obtaining the dispersion of each evaluation index; and determining the health state of the battery according to the dispersion. The system comprises a standard deviation analysis unit, a variable coefficient unit, a weight unit, a dispersion unit and an evaluation unit. According to the invention, the health state of the energy storage battery is deeply evaluated, and the external characteristic state data of the battery is fused and analyzed to obtain a comprehensive evaluation result of the health state of the battery.

Description

technical field [0001] The invention belongs to the field of electric energy storage, and in particular relates to a method and a system for evaluating the health status of a battery in a super-large-scale energy storage power station. Background technique [0002] For the large-scale engineering application of ultra-large-scale battery energy storage systems, due to the inconsistency between the individual batteries in the battery packs of ultra-large-scale energy storage power stations, the evaluation of the state of health (SOH) of energy storage batteries has become a key issue for large-scale energy storage. key issues of application. Among them, the most worthy of consideration is how much value the energy storage battery can provide in the middle and late stages of operation. This requires the analysis and evaluation of the health status of the energy storage battery of the ultra-large-scale battery energy storage power station. The purpose is to maximize the efficien...

AI Technical Summary

Problems solved by technology

For ultra-large-scale energy storage power stations, considering the characteristics of large-scale performance differences and high dispersion of decommissioned power batteries, there are few methods for specifically analyzing the dispersion of decommissioned batteries in ultra-large-scale energy storage power stations.

In the currently commonly used methods for evaluating battery health status, the measurement and analysis results are highly targeted, but the cost is high and the data processing is relatively complicated

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