锂离子电池的能量及功率密度预测软件开发及其在电化学教学中的应用  

Lithium-lon Battery Performance Prediction Software Development and Its Application in Electrochemistry Teaching

作　　者：练成 焦美媛 黄凯 陈志云[1] 徐首红[1] 刘洪来[1,2] LIAN Cheng;JIAO Mei-Yuan;HUANG Kai;CHEN Zhi-Yun;XU Shou-Hong;LIU Hong-Lai(School of Chemistry and Molecular Engineering,East China University of Science and Technology,Shanghai 200237,China;School of Chemical Engineering,East China University of Science and Technology,Shanghai 200237,China)

机构地区：[1]华东理工大学化学与分子工程学院,上海200237 [2]华东理工大学化工学院,上海200237

出　　处：《化学教育（中英文）》2024年第12期95-104,共10页Chinese Journal of Chemical Education

基　　金：国家自然科学基金(22078088,22278127,22308095)。

摘　　要：锂离子电池内部构造及其能量密度与功率密度之间的关系是电化学教学中较为抽象的知识点。利用Matlab开发的Forecast-Ragone计算器软件将实验室电极的研究结果与实际全电池的应用相联系,通过简单操作即可展示电池内部组成及其对电池的能量及功率密度的影响。在课堂上应用此软件,将科研成果与课堂教学有机结合,使教学内容的展示更简单形象。The structure of lithium-ion batteries(LIBs)and the relationship between energy density and power density are abstract knowledge points in electrochemistry teaching.The Forecast-Ragone software was developed by using Matlab,which can relate the experimental results in electrode to the performance data in actual full-cell.Developed software can show the composition of LIBs and output the influencing factors of battery performance by simple operation.Applying developed software in teaching can introduce scientific research results into the classroom,and visualize the relevant teaching content.

关 键 词：电化学教学 电池组成 电池的能量及功率密度 教学实践 软件开发 

分 类 号：G642[文化科学—高等教育学] O646-4[文化科学—教育学] TM912[理学—物理化学]