State-of-Health Estimation of Lithium-ion Batteries by Fusing an Open-Circuit-Voltage Model and Incremental Capacity Analysis

作者：Xiaolei Bian, Zhongbao Wei, Weihan Li, Josep Pou, Dirk Uwe Sauer, Longcheng Liu · 发表于：IEEE Transactions on Power Electronics · 年份：2021 · DOI：10.1109/tpel.2021.3104723 · 被引用次数：167 · 研究领域：Advanced Battery Technologies Research、Advancements in Battery Materials、Reliability and Maintenance Optimization

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.