3 Publications
2023 | Conference Paper | LibreCat-ID: 53310
Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. In: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE; 2023. doi:10.1109/sdemped54949.2023.10271427
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29663
Gedlu EG, Wallscheid O, Böcker J. Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks. In: 2021 IEEE International Electric Machines & Drives Conference (IEMDC). ; 2021:1–8. doi:10.1109/IEMDC47953.2021.9449548
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 29641
Gedlu EG, Wallscheid O, Böcker J. Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model. In: The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020). Vol 2020. ; 2020:937–942.
LibreCat
3 Publications
2023 | Conference Paper | LibreCat-ID: 53310
Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. In: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE; 2023. doi:10.1109/sdemped54949.2023.10271427
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29663
Gedlu EG, Wallscheid O, Böcker J. Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks. In: 2021 IEEE International Electric Machines & Drives Conference (IEMDC). ; 2021:1–8. doi:10.1109/IEMDC47953.2021.9449548
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 29641
Gedlu EG, Wallscheid O, Böcker J. Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model. In: The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020). Vol 2020. ; 2020:937–942.
LibreCat