KIT | KIT-Bibliothek | Impressum | Datenschutz

Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering Noise**

Kuhn, Yannick 1; Wolf, Hannes; Latz, Arnulf 1; Horstmann, Birger 1
1 KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE), Karlsruher Institut für Technologie (KIT)

Abstract:

Physico-chemical continuum battery models are typically parameterized by manual fits, relying on the individual expertise of researchers. In this article, we introduce a computer algorithm that directly utilizes the experience of battery researchers to extract information from experimental data reproducibly. We extend Bayesian Optimization (BOLFI) with Expectation Propagation (EP) to create a black-box optimizer suited for modular continuum battery models. Standard approaches compare the experimental data in its raw entirety to the model simulations. By dividing the data into physics-based features, our data-driven approach uses orders of magnitude less simulations. For validation, we process full-cell GITT measurements to characterize the diffusivities of both electrodes non-destructively. Our algorithm enables experimentators and theoreticians to investigate, verify, and record their insights. We intend this algorithm to be a tool for the accessible evaluation of experimental databases.


Verlagsausgabe §
DOI: 10.5445/IR/1000153701
Veröffentlicht am 11.12.2022
Originalveröffentlichung
DOI: 10.1002/batt.202200374
Scopus
Zitationen: 6
Web of Science
Zitationen: 7
Dimensions
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT KIT-Zentrum Mathematik in den Natur-, Ingenieur- und Wirtschaftswissenschaften (KIT-Zentrum MathSEE)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2566-6223
KITopen-ID: 1000153701
Erschienen in Batteries & Supercaps
Verlag John Wiley and Sons
Band 6
Heft 1
Seiten 123-152
Vorab online veröffentlicht am 21.11.2022
Nachgewiesen in Dimensions
Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page