提高电池安全性：集成多物理场和机器学习，预测锂离子电池模块的热失控

已取消 10 由 fatcat 发布于 2026/10/9 21:54:00

DOI:10.1016/j.jpowsour.2024.235015
作者：Basab Ranjan Das Goswami, Yasaman Abdisobbouhi, Hui Du, Farzad Mashayek, Todd A. Kingston, Vitaliy Yurkiv
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：The safety concerns associated with lithium-ion batteries (LIBs) have led to the development of a novel framework combining advanced machine learning (ML) techniques with multiphysics modeli

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Association for Computing Machinery (ACM)Current Situation and Countermeasures of Calligraphy Education in Primary and Middle Schools Based on Data Mining