h1

h2

h3

h4

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

Deep Neural Network based MHE and MPC for Thermal Torque Derating of a BEV: Data, DNN Training, Integration acados, Simulink Model. (alexwin9478/DnnBasedMhePaper)

; ;

Ausgabev1.0

: Zenodo

Online
DOI: 10.5281/ZENODO.15165902


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)


Dokumenttyp
Dataset

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-03593
Datensatz-ID: 1009650

Beteiligte Länder
Germany

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
18 Seiten () [10.20944/preprints202503.1638.v1]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


QR Code for this record

The record appears in these collections:
Document types > Other document types
Research data > Datasets
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
422320

 Record created 2025-04-07, last modified 2025-04-10



Rate this document:

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