State of Health and Remaining Useful Life Prediction of Li-ion Batteries Based on Improved Support Vector Regression

• Published in: 2024 IEEE 7th International Electrical and Energy Conference (CIEEC) pp. 1770 - 1775
• Main Authors: Si, Jiandong, Feng, Qian, Zhang, Chi, Yu, Annuo, Wang, Qingsong, Buja, Giuseppe
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.05.2024
• Subjects: Accuracy; Ant-lion algorithm; Cauchy mutation operator; Correlation; Li-ion battery; Lithium-ion batteries; NASA; Prediction algorithms; Predictive models; remaining useful life; state of health; support vector machine; Support vector machines

The state of health (SOH) and remaining useful life (RUL) are both important parameters that reflect the degree of aging of Li-ion batteries. Support vector regression (SVR) has advantages in processing small sample data and time series analysis but is challenging to select kernel parameters. In thi...