A Comparative Study of Machine Learning Methods for Lithium-ion Battery Remaining Useful Life Prediction
Shuhe cui, Yiqing Du, Yongpeng Chen, Zhiyuan Yang (Author)
Article
Accurate prediction of remaining useful life for lithium-ion batteries is essential for ensuring the reliability and safety of electric vehicles and energy storage systems. This study presents a comprehensive comparative analysis of six machine learning methods for battery RUL prediction, including Linear Regression, Ridge Regression, Lasso...
|
|
|
|
|