Reducing the complexity of thermal models for electric machines via sensitivity analyses
| Autor: | Stephane Vivier, A. Michon, K. El Kadri Benkara, Bassel Assaad, Guy Friedrich |
|---|---|
| Přispěvatelé: | Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Centre de recherche sur l'hétéroepitaxie et ses applications (CRHEA), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Université Nice Sophia Antipolis (1965 - 2019) (UNS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Electric machine
Engineering business.product_category business.industry Design of experiments 020208 electrical & electronic engineering 05 social sciences [SPI.NRJ]Engineering Sciences [physics]/Electric power Complex system Automotive industry 02 engineering and technology 7. Clean energy Reduction (complexity) [SPI]Engineering Sciences [physics] Thermal 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Sensitivity (control systems) business Thermal analysis 050107 human factors Simulation ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2017 IEEE Energy Conversion Congress and Exposition (ECCE) 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Oct 2017, Cincinnati, France. pp.4658-4665 |
| Popis: | The aim of the reduction method is to integrate the reduced model in a multi-physical electric machine optimization procedure and use the obtained model in real-time monitoring of machine critical parts. In this paper, an electric machine thermal model reduction method is proposed. Using the lumped parameter thermal network (LPTN) method, a thermal model is developed in order to represent the thermal behavior of an internal permanent magnet synchronous machine. From a thermal viewpoint, this machine is considered as a complex system, widely used as an integrated starter-generator (ISG) in automotive applications. The proposed reduction method is based on two sensitivity analysis techniques in order to obtain a simple and fast implemented thermal model. The first approach is the local sensitivity analysis where the ISG thermal model parameters were varied by ±50% around their nominal values. While the second and the following approach consists on applying one of design of experiment methods (full factorial design) to some of the thermal model parameters. In this case, parameters were varied in much larger boundaries or within their global domain of variation. These two techniques allow us to reduce the complexity of the initial model into a simpler and faster model while retaining a good accuracy. Results of this study are compared to data extracted from thermal tests performed on the ISG. |
| Databáze: | OpenAIRE |
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