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A Flexible Approach To Parameter Estimation Of Physics-Based Battery Models From Noisy Measurements

Kuhn, Yannick and Horstmann, Birger and Latz, Arnulf (2021) A Flexible Approach To Parameter Estimation Of Physics-Based Battery Models From Noisy Measurements. Oxford Battery Modeling Symposium | OBMS21, 31.03.2021, Oxford, England.

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Item URL in elib:https://elib.dlr.de/147392/
Document Type:Conference or Workshop Item (Poster)
Title:A Flexible Approach To Parameter Estimation Of Physics-Based Battery Models From Noisy Measurements
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kuhn, Yannickyannick.kuhn (at) dlr.dehttps://orcid.org/0000-0002-9019-2290
Horstmann, Birgerbirger.horstmann (at) dlr.dehttps://orcid.org/0000-0002-1500-0578
Latz, Arnulfarnulf.latz (at) dlr.dehttps://orcid.org/0000-0003-1449-8172
Date:2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:battery modelling, uncertainty quantification, bayesian optimisiation
Event Title:Oxford Battery Modeling Symposium | OBMS21
Event Location:Oxford, England
Event Type:international Conference
Event Dates:31.03.2021
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Electrochemical Energy Storage
DLR - Research area:Energy
DLR - Program:E SP - Energy Storage
DLR - Research theme (Project):E - Electrochemical Storage
Location: Ulm
Institutes and Institutions:Institute of Engineering Thermodynamics > Computational Electrochemistry
Deposited By: Werres, Martin Alexander
Deposited On:21 Dec 2021 10:33
Last Modified:21 Dec 2021 10:33

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