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Photo: Paderborn University

Wilhelm Kirchgässner

Contact
Biography
Publications
 Wilhelm Kirchgässner

Power Electronics and Electrical Drives

Research Associate - Machine Learning in electric drives

Phone:
+49 5251 60-5048
Fax:
+49 5251 60-3443
Office:
E4.324
Web:
Visitor:
Pohlweg 55
33098 Paderborn
 Wilhelm Kirchgässner
07/2018 - today

Wissenschaftlicher Mitarbeiter/ Doktorand

Maschinelles Lernen im Kontext elektrischer Antriebstechnik und Leistungselektronik

08/2016 - 06/2018

Software-Ingenieur

Continental Automotive GmbH, Babenhausen.

Entwicklung eingebetteter Systeme, Koordination von Entwickler-Hubs, Toolchain, Lasten- und Pflichtenheft-Pflege.

10/2015 - 03/2016

Studentische Hilfskraft

Uni Paderborn, PB (Fachbereich Nachrichtentechnik).

Unit-Tests, Algorithmen-Konversion Matlab <-> Python.

04/2014 - 09/2015

Werkstudent

Wincor Nixdorf, Paderborn.

Systemtest, Integrationstest, Installationsroutinen.

07/2009 - 08/2013

Dual-Student Elektrotechnik, B.Sc. & Facharbeiter Elektroniker für Geräte u. Systeme

Phoenix Contact Electronics GmbH, Bad Pyrmont.

Hochschule Ostwestfalen-Lippe, Lemgo.

 


Open list in Research Information System

2021

Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments

G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021), pp. 187-201

DOI


Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark

W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion (2021), 36(3), pp. 2059 - 2067

DOI


gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems

P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021), 2498

DOI


Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning

W. Kirchgässner, O. Wallscheid, J. Böcker, arXiv preprint arXiv:2103.16323 (2021)


2020

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020), pp. 1-10

DOI


Estimating Electric Motor Temperatures with Deep Residual Machine Learning

W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2020), 36(7), pp. 7480-7488

DOI


Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning

W. Kirchgässner, O. Wallscheid, J. Böcker, arXiv preprint arXiv:2001.06246 (2020)


2019

Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept

M. Schenke, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Industrial Informatics (2019), pp. 4650-4658

DOI


Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines

W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019

DOI


Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors

W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019

DOI


2017

Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors

O. Wallscheid, W. Kirchgässner, J. Böcker, in: 2017 International Joint Conference on Neural Networks (IJCNN), 2017

DOI


Investigation of Long Short-Term Memorys to Temperature Prediction for Permanent Magnet Synchronous Motors

O. Wallscheid, W. Kirchgässner, J. Böcker, in: IEEE International Joint Conference on Neural Networks (IJCNN 2017), 2017


Open list in Research Information System

The University for the Information Society