Development of a Model Capable of Predicting the Cycle Lives of High-Energy-Density Lithium-Metal Batteries
—Major Advances in Putting the Batteries into Practical Use—

NIMS and SoftBank Corp. have jointly developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data.

▶For more information

Qianli Si, Shoichi Matsuda, Youhei Yamaji, Toshiyuki Momma, Yoshitaka Tateyama, Advanced Science 11, 2402608 (2024). "Data-Driven Cycle Life Prediction of Lithium Metal-Based Rechargeable Battery Based on Discharge/Charge Capacity and Relaxation Features"
DOI : 10.1002/advs.202402608

Development of a Model Capable of Predicting the Cycle Lives of High-Energy-Density Lithium-Metal Batteries —Major Advances in Putting the Batteries into Practical Use—

Development of a Model Capable of Predicting the Cycle Lives of High-Energy-Density Lithium-Metal Batteries
—Major Advances in Putting the Batteries into Practical Use—