State-of-health estimation of lithium-ion batteries by fusing an open circuit voltage model and incremental capacity analysis
Artikel i vetenskaplig tidskrift, 2021

The state of health (SOH) is a vital parameter enabling the reliability and life diagnostic of lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which combines an open circuit voltage (OCV) model and the incremental capacity analysis. Specifically, a novel OCV model is developed to extract the OCV curve and the associated features-of-interest (FOIs) from the measured terminal voltage during constant-current charge. With the determined OCV model, the disturbance-free incremental capacity (IC) curves can be derived, which enables the extraction of a set of IC morphological FOIs. The extracted model FOI and IC morphological FOIs are further fused for SOH estimation through an artificial neural network. Long-term degradation data obtained from different battery chemistries are used for validation. Results suggest that the proposed fusion-based method manifests itself with high estimation accuracy and high robustness.

Författare

Xiaolei Bian

Chalmers, Elektroteknik, System- och reglerteknik

IEEE Transactions on Power Electronics

0885-8993 (ISSN)

Ämneskategorier

Reglerteknik

Signalbehandling

Annan elektroteknik och elektronik

DOI

10.1109/TPEL.2021.3104723

Mer information

Skapat

2023-02-09