matlab/simulink design optimisation  (MathWorks Inc)

Journal: Scientific Reports

Article Title: Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning

doi: 10.1038/s41598-024-61596-0

Figure Lengend Snippet: Experimentally measured voltage from the GITT experiment on Cell A, compared to the fitted voltage for the ECM, with and without parameter identification optimisation and with and without hysteresis.

Article Snippet: Once \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$M$$\end{document} M was computed, nonlinear parameter optimisation was performed using MATLAB/Simulink Design Optimisation .

Techniques:

Journal: Scientific Reports

Article Title: Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning

doi: 10.1038/s41598-024-61596-0

Figure Lengend Snippet: Experimentally measured voltage from the WLTP experiment on Cell A, compared to the fitted voltage for the ECM, with and without parameter identification optimisation and with and without hysteresis.

Article Snippet: Once \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$M$$\end{document} M was computed, nonlinear parameter optimisation was performed using MATLAB/Simulink Design Optimisation .

Techniques: