Kirchgässner W, Wallscheid O, Böcker J. Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Engineering Applications of Artificial Intelligence. 2022;117. doi:10.1016/j.engappai.2022.105537

Kirchgässner W, Wallscheid O, Böcker J. Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations. In: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). IEEE; 2022. doi:10.23919/ipec-himeji2022-ecce53331.2022.9807209

Kirchgässner W, Wöckinger D, Wallscheid O, Bramerdorfer G, Böcker J. Application of Thermal Neural Networks on a Small-Scale Electric Motor. In: IKMT 2022; 13. GMM/ETG-Symposium. ; 2022:1-6.

Book G, Traue A, Balakrishna P, et al. Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics. Published online 2021:187-201. doi:10.1109/ojpel.2021.3065877

Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion. 2021;36(3):2059-2067. doi:10.1109/tec.2021.3052546

Balakrishna P, Book G, Kirchgässner W, Schenke M, Traue A, Wallscheid O. gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. Journal of Open Source Software. Published online 2021. doi:10.21105/joss.02498

Kirchgässner W, Wallscheid O, Böcker J. Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. arXiv preprint arXiv:210316323. Published online 2021.

Traue A, Book G, Kirchgässner W, Wallscheid O. Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems. Published online 2020:1-10. doi:10.1109/tnnls.2020.3029573

Kirchgässner W, Wallscheid O, Böcker J. Estimating Electric Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on Power Electronics. 2020;36(7):7480-7488. doi:10.1109/tpel.2020.3045596

Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. arXiv preprint arXiv:200106246. Published online 2020.