Cummins Inc.
METHODS AND DEVICES FOR DETERMINING BATTERY STATE OF HEALTH USING INCREMENTAL CAPACITY ANALYSIS AND SUPPORT VECTOR REGRESSION

Abstract:

A computer-implemented method for establishing a trained state of health (SOH) estimation model, the method comprising: acquiring a voltage vs. capacity (QV) data of a training battery at a first SOH within a predetermined voltage range during a charging cycle; obtaining an incremental capacity (IC) data based on at least the acquired QV data; extracting an ICA area and an ICA peak from the IC data; inputting the extracted ICA area and the ICA peak into an ICA database; repeating the acquiring, the obtaining, the extracting, and the inputting processes on the training battery at one or more additional SOHs; and establishing the trained SOH estimation model by training and testing a base SOH estimation model based on at least the ICA database using Support Vector Regression; wherein the trained SOH estimation model is configured to be used by a battery management system to monitor the health of a battery.