This project is an assignment for ELEC222 of University of Liverpool.
With development of renewable energy, Li-ion batteries are widely used in applications because of their unique advantages. The RUL prediction algorithm of Li-ion Batteries acts a great roles in energy industry, for it could help to solve management and maintenance of Li-ion batteries. In order to improve the accuracy and performance of the RUL prediction algorithm, a model based on LSTM-RNN is proposed. This project aims to provide a model to predict the RUL of Li-ion batteries with high accuracy, performance and efficiency.
- Yuantong Li @Scinape
- Zirui Wang @rhdrhd
- Jingshi Yang @jingshi-yang
- Yuanzhen Liu @LEOLIU523
- Dr. Lin Jiang