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A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation

Brembeck, Jonathan (2019) A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation. Sensors, 19 (20). Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/s19204402 ISSN 1424-8220

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Official URL: https://www.mdpi.com/1424-8220/19/20/4402

Abstract

Future electrified autonomous vehicles demand higly accurate knowledge of their system states to guarantee a high-fidelity and reliable control. This constitutes a challenging task—firstly, due to rising complexity and operational safeness, and secondly, due to the need for embedded service oriented architecture which demands a continuous development of new functionalities. Based on this, a novel model based Kalman filter framework is outlined in this publication, which enables the automatic incorporation of multiphysical Modelica models into discrete-time estimation algorithms. Additionally, these estimation algorithms are extended with nonlinear inequality constraint handling functionalities. The proposed framework is applied to a constrained nonlinear state of charge lithium-ion cell observer and is validated with experimental data

Item URL in elib:https://elib.dlr.de/131096/
Document Type:Article
Title:A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Brembeck, Jonathanjonathan.brembeck (at) dlr.deUNSPECIFIED
Date:2019
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:19
DOI :10.3390/s19204402
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1424-8220
Status:Published
Keywords:nonlinear observer; kalman filter; constrained estimation; state of charge estimation; lithium-ion cell; hybrid simulation; functional mockup interface; modelica; AUTOSAR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Vehicle System Dynamics
Deposited By: Klauer, Monika
Deposited On:06 Dec 2019 16:39
Last Modified:14 Dec 2019 04:27

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