Method of estimating state of charge of secondary battery, system for estimating state of charge of secondary battery, and method of detecting anomaly of secondary battery

Abstract

A method of estimating the state of charge of a secondary battery that has high estimation accuracy even when degradation of the secondary battery progresses is provided. Furthermore, a capacity measurement system of a secondary battery that estimates an SOC with high estimation accuracy in a short time at low cost is provided. When the capacity of a secondary battery can be estimated with high accuracy, an anomaly can also be detected in accordance with the value. A novel method of detecting an anomaly of a secondary battery is provided. In the CCCV charging method, the CC time and the CV time are used as learning parameters to construct a learning model. With this learning model, an estimated capacity value with high accuracy can be obtained with use of two data, which are the CC time and the CV time, or three data, which are the CC time, the CV time, and a charge inception voltage value as the minimum input data.

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