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001     1009650
005     20250410054036.0
024 7 _ |2 doi
|a 10.5281/ZENODO.15165902
037 _ _ |a RWTH-2025-03593
041 _ _ |a English
100 1 _ |0 P:(DE-82)IDM04817
|a Winkler, Alexander
|b 0
245 _ _ |a Deep Neural Network based MHE and MPC for Thermal Torque Derating of a BEV: Data, DNN Training, Integration acados, Simulink Model. (alexwin9478/DnnBasedMhePaper)
|h online
250 _ _ |a v1.0
260 _ _ |b Zenodo
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336 7 _ |2 BibTeX
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336 7 _ |0 PUB:(DE-HGF)32
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336 7 _ |0 26
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336 7 _ |2 DINI
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536 _ _ |0 G:(GEPRIS)277012063
|a DFG project G:(GEPRIS)277012063 - FOR 2401: Optimierungsbasierte Multiskalenregelung motorischer Niedertemperatur-Brennverfahren (277012063)
|c 277012063
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588 _ _ |a Dataset connected to DataCite
591 _ _ |a Germany
700 1 _ |0 P:(DE-82)IDM07002
|a Shah, Pranav Bahubali
|b 1
|u rwth
700 1 _ |0 P:(DE-82)IDM00250
|a Andert, Jakob
|b 2
|u rwth
787 0 _ |0 RWTH-2025-03158
|a Winkler, Alexander Emil Klaus et.al.
|d 2025
|i RelatedTo
|t Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
909 C O |o oai:publications.rwth-aachen.de:1009650
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914 1 _ |y 2025
920 1 _ |0 I:(DE-82)422320_20210420
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|l Lehr- und Forschungsgebiet Mechatronik in mobilen Antrieben
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980 _ _ |a dataset
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980 _ _ |a I:(DE-82)422320_20210420
980 _ _ |a UNRESTRICTED

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