长江大学主页平台管理系统 qianliqin--Home-- Digital twin-long short-term memory (LSTM) neural network based real-time temperature prediction and degradation model analysis for lithium-ion battery

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钱利勤，女，汉族，江苏苏州人，1982年10月生，副教授，硕士生导师，有“学生最喜爱老师”“优秀青年教师”“毕业论文优秀指导教师”“优秀班主任”等称号。科研方向为电动汽车锂离子电池组热管理系统的研究、锂离子电池老化机理研究，锂离子电池热失控机理及防护以及井下工具设计与仿真研究。主讲《化工原理》、《C语言程序设计》、《VB程序设计》等课程；指导学生参加国家竞赛获得奖项共6项。近年来发表学术论文20多篇，其中S...

钱利勤

Associate Professor

Paper Publications

Digital twin-long short-term memory (LSTM) neural network based real-time temperature prediction and degradation model analysis for lithium-ion battery

Release time:2024-04-10 Hits:

Affiliation of Author(s):

机械工程学院

Journal:

Journal of Energy Storage

Indexed by:

Journal paper

Correspondence Author:

qianliqin

Document Code:

8aa886418bd2367a018bf61e939953b6

Date of Publication:

2023-08-01

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