Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries

被引:2
|
作者
de Souza, Matheus Leal [1 ,2 ]
Duquesnoy, Marc [1 ,3 ]
Morcrette, Mathieu [1 ,2 ,3 ]
Franco, Alejandro A. [1 ,2 ,4 ]
机构
[1] Univ Picardie Jules Verne, Lab React & Chim Solides LRCS, UMR CNRS 7314, Hub Energie, 15 Rue Baudelocque, F-80039 Amiens, France
[2] Reseau Stockage Electrochim Energie RS2E, FR CNRS 3459, Hub Energie, 15 Rue Baudelocque, F-80039 Amiens, France
[3] ALISTORE European Res Inst, FR CNRS 3104, Hub Energie, 15, rue Baudelocque, F-80039 Amiens, France
[4] Inst Univ France, 103 Blvd St Michel, F-75005 Paris, France
基金
欧盟地平线“2020”;
关键词
analytical tool; degradation mechanisms; dV/dQ; dQ/dV; electrochemical analysis; lithium-ion batteries; software; DIFFERENTIAL VOLTAGE ANALYSES; LITHIUM-ION CELLS; HIGH-POWER; MECHANISMS; ANODE;
D O I
10.1002/batt.202200378
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
To meet the expected performance requirements of lithium-ion batteries (LIBs), novel electrode materials, coatings and electrolytes have been studied in terms of their degradation mechanisms. Nevertheless, most of the methods used to track these mechanisms are not in operando, i.e., they do not follow them upon the practical LIB cell operation. The differential voltage analysis (DVA) and the incremental capacity analysis (ICA) constitute in operando techniques that can greatly help in monitoring batteries degradation mechanisms. We report here an in house developed software that allows the visualization of the DVA and the ICA curves of tested cells, with the possibility of rebuilding an experimental full-cell capacity vs. potential curve through fitting of its electrodes' half-cell capacity vs. potential curves. Those features can be applied to multiple charge-discharge cycles without data pretreatment, offering data exportation. We illustrate the functionalities of our software and indicate perspectives for its further development.
引用
收藏
页数:9
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