Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring
In electric powertrain traction applications, the adopted trend to improve the performance and efficiency of electromechanical power conversion systems is to increase supply voltages and inverter switching frequencies. As a result, electrical machine conductors are subjected to ever-increasing elect...
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2024-11-01
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| author | Jérémy Creux Najla Haje Obeid Thierry Boileau Farid Meibody-Tabar |
| author_facet | Jérémy Creux Najla Haje Obeid Thierry Boileau Farid Meibody-Tabar |
| author_sort | Jérémy Creux |
| collection | DOAJ |
| description | In electric powertrain traction applications, the adopted trend to improve the performance and efficiency of electromechanical power conversion systems is to increase supply voltages and inverter switching frequencies. As a result, electrical machine conductors are subjected to ever-increasing electrical stresses, leading to premature insulation degradation and eventual short-circuits. Winding condition monitoring is crucial to prevent such critical failures. Based on the scientific literature, several methods can be used for early identification of aging. A first solution is to monitor partial discharges. This method requires the use of a specific measurement device and an undisturbed test environment. A second solution is to monitor the inter-turn winding capacitance, which is directly related to the condition of the insulation and can cause a change in the stator impedance behavior. Several approaches can be used to estimate or characterize this impedance behavior. They must be performed on a machine at standstill, which limits their application. In this paper, a new characterization method is proposed to monitor the high-frequency stator impedance evolution of voltage source inverter-fed machines. This method can be applied at any time without removing the machine from its operating environment. The range and accuracy of the proposed frequency characterization depend in particular on the supply voltage level and the bandwidth of the measurement probes. The effects of parameters such as temperature, switching frequency, and DC voltage amplitude on the impedance characteristic were also studied and will be presented. Tests carried out on an automotive traction machine have shown that the first two series and parallel resonances of the high-frequency impedance can be accurately identified using the proposed technique. Therefore, by monitoring these resonances, it is possible to predict the aging rate of the conductor. |
| format | Article |
| id | doaj-art-7ea023f17786483aa165a5c778b1a87d |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-7ea023f17786483aa165a5c778b1a87d2024-12-13T16:22:09ZengMDPI AGApplied Sciences2076-34172024-11-0114231091110.3390/app142310911Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health MonitoringJérémy Creux0Najla Haje Obeid1Thierry Boileau2Farid Meibody-Tabar3IFP Energies Nouvelles, Institut Carnot IFPEN Transports Energie, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, FranceIFP Energies Nouvelles, Institut Carnot IFPEN Transports Energie, 1 et 4 Avenue de Bois-Préau, 92852 Rueil-Malmaison, FranceUniversité de Lorraine, CNRS, LEMTA, F-54000 Nancy, FranceUniversité de Lorraine, CNRS, LEMTA, F-54000 Nancy, FranceIn electric powertrain traction applications, the adopted trend to improve the performance and efficiency of electromechanical power conversion systems is to increase supply voltages and inverter switching frequencies. As a result, electrical machine conductors are subjected to ever-increasing electrical stresses, leading to premature insulation degradation and eventual short-circuits. Winding condition monitoring is crucial to prevent such critical failures. Based on the scientific literature, several methods can be used for early identification of aging. A first solution is to monitor partial discharges. This method requires the use of a specific measurement device and an undisturbed test environment. A second solution is to monitor the inter-turn winding capacitance, which is directly related to the condition of the insulation and can cause a change in the stator impedance behavior. Several approaches can be used to estimate or characterize this impedance behavior. They must be performed on a machine at standstill, which limits their application. In this paper, a new characterization method is proposed to monitor the high-frequency stator impedance evolution of voltage source inverter-fed machines. This method can be applied at any time without removing the machine from its operating environment. The range and accuracy of the proposed frequency characterization depend in particular on the supply voltage level and the bandwidth of the measurement probes. The effects of parameters such as temperature, switching frequency, and DC voltage amplitude on the impedance characteristic were also studied and will be presented. Tests carried out on an automotive traction machine have shown that the first two series and parallel resonances of the high-frequency impedance can be accurately identified using the proposed technique. Therefore, by monitoring these resonances, it is possible to predict the aging rate of the conductor.https://www.mdpi.com/2076-3417/14/23/10911winding health monitoringfrequency response analysisonline characterizationimpedancehigh-frequency behaviorinverter-fed electrical machines |
| spellingShingle | Jérémy Creux Najla Haje Obeid Thierry Boileau Farid Meibody-Tabar Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring Applied Sciences winding health monitoring frequency response analysis online characterization impedance high-frequency behavior inverter-fed electrical machines |
| title | Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring |
| title_full | Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring |
| title_fullStr | Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring |
| title_full_unstemmed | Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring |
| title_short | Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring |
| title_sort | online high frequency impedance identification method of inverter fed electrical machines for stator health monitoring |
| topic | winding health monitoring frequency response analysis online characterization impedance high-frequency behavior inverter-fed electrical machines |
| url | https://www.mdpi.com/2076-3417/14/23/10911 |
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