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, 2021-03-31, Oxford, England.

Full text not available from this repository.

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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Kuhn, Yannick	yannick.kuhn (at) dlr.de	https://orcid.org/0000-0002-9019-2290	UNSPECIFIED
Horstmann, Birger	birger.horstmann (at) dlr.de	https://orcid.org/0000-0002-1500-0578	UNSPECIFIED
Latz, Arnulf	arnulf.latz (at) dlr.de	https://orcid.org/0000-0003-1449-8172	UNSPECIFIED

Date:

2021

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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 Date:

31 March 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:

24 Apr 2024 20:45

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