Machine learning : an advanced platform for materials development and state prediction in lithium-ion batteries

• Main Authors: Lv, Chade, Zhou, Xin, Zhong, Lixiang, Yan, Chunshuang, Srinivasan, Madhavi, Seh, Zhi Wei, Liu, Chuntai, Pan, Hongge, Li, Shuzhou, Wen, Yonggang, Yan, Qingyu
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Materials::Energy materials; Lithium-Ion; Batteries
• Online Access: https://hdl.handle.net/10356/154706
• Institution: Nanyang Technological University

Lithium-ion batteries (LIBs) are vital energy-storage devices in modern society. However, the performance and cost are still not satisfactory in terms of energy density, power density, cycle life, safety, etc. To further improve the performance of batteries, traditional “trial-and-error” processes r...