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.
METHODS AND DEVICES FOR DETERMINING BATTERY STATE OF HEALTH USING INCREMENTAL CAPACITY ANALYSIS AND SUPPORT VECTOR REGRESSION
VERFAHREN UND VORRICHTUNGEN ZUR BESTIMMUNG DES BATTERIEGESUNDHEITSZUSTANDS UNTER VERWENDUNG VON INKREMENTALER KAPAZITÄTSANALYSE UND STÜTZVEKTORREGRESSION
PROCÉDÉS ET DISPOSITIFS POUR DÉTERMINER L'ÉTAT DE SANTÉ D'UNE BATTERIE À L'AIDE D'UNE ANALYSE DE CAPACITÉ INCRÉMENTIELLE ET D'UNE RÉGRESSION DE VECTEUR DE SUPPORT
2023-06-28
Patent
Elektronische Ressource
Englisch
Estimation of battery state-of-charge using ν-support vector regression algorithm
British Library Online Contents | 2008
|Estimation of battery state-of-charge using ν-support vector regression algorithm
Online Contents | 2008
|