A Computational Framework for Identifiability and Ill-Conditioning Analysis of Lithium-Ion Battery Models

Autor: Günter Wozny, Diana C. López C, Victor M. Zavala, Ruben Vasquez-Medrano, Antonio Flores-Tlacuahuac

Publikováno v: Industrial & Engineering Chemistry Research. 55:3026-3042

The lack of informative experimental data and the complexity of first-principles battery models make the recovery of kinetic, transport, and thermodynamic parameters complicated. We present a computational framework that combines sensitivity, singula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c353c1fe7d396a81973150197310aabb
https://doi.org/10.1021/acs.iecr.5b03910

Output uncertainty of dynamic growth models: Effect of uncertain parameter estimates on model reliability

Autor: Mariano Nicolas Cruz Bournazou, Tilman Barz, Diana C. López C, Krist V. Gernaey, Emmanuel Anane, Gürkan Sin, Peter Neubauer

Publikováno v: Anane, E, López C, D C, Barz, T, Sin, G, Gernaey, K V, Neubauer, P & Cruz Bournazou, M N 2019, ' Output uncertainty of dynamic growth models: Effect of uncertain parameter estimates on model reliability ', Biochemical Engineering Journal, vol. 150, 107247 . https://doi.org/10.1016/j.bej.2019.107247

Mechanistic models are simplifications of bio-physical systems, for which the true values of the model parameters are sometimes unknown. Therefore, before using model-based predictions to study or improve a process, it is essential to ensure that the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44e1bd4661c1689671400f4a6b080dc4
https://doi.org/10.1016/j.bej.2019.107247