h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine

; ; ; ; ;

Umfang18 Seiten

Preprint for Energies Journal, submitted March, 2025

Online
DOI: 10.18154/RWTH-2025-03158
DOI: 10.20944/preprints202503.1638.v1

URL: http://publications.rwth-aachen.de/record/1008794/files/1008794.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Mechatronik in mobilen Antrieben (422320)

Projekte

  1. DFG project G:(GEPRIS)277012063 - FOR 2401: Optimierungsbasierte Multiskalenregelung motorischer Niedertemperatur-Brennverfahren (277012063) (277012063)

OpenAccess:
Download fulltext PDF

Dokumenttyp
Preprint

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-03158
Datensatz-ID: 1008794

Beteiligte Länder
Canada, Germany

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dataset  ;  ;
Deep Neural Network based MHE and MPC for Thermal Torque Derating of a BEV: Data, DNN Training, Integration acados, Simulink Model. (alexwin9478/DnnBasedMhePaper)
Zenodo () [10.5281/ZENODO.15165902]  GO BibTeX | EndNote: XML, Text | RIS

Creative Commons Attribution CC BY 4.0 ; OpenAccess
QR Code for this record

The record appears in these collections:
Document types > Other document types > Preprints
Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
Public records
Publications database
422320
 Record created 2025-03-24, last modified 2025-09-01
Similar records


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)