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Diagnostics of electric drive electric vehicle with valve motor

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Diagnostyka napędu elektrycznego pojazd elektryczny z silnikiem zaworowym
Języki publikacji
EN
Abstrakty
EN
The reliability, safety and economy of the electric vehicle depend on the operation of the electric drive. Diagnosing malfunctions at startup avoid an accident by turning off the system power. Idle testing prevents an accident that may occur while driving. Monitoring the technical states of the electric power supply during the transport process provides an emergency operation mode by redistributing power between its elements. This model presents the results of testing the method of spectral analysis of electrical processes occurring in the power circuit of the electric power supply simulation model. The information content of spectrograms, as a characteristic of the diagnostic parameter, is determined by the options for setting up the FFT analyzer. These options are configured to a maximum frequency switching converter. And other is the sampling period of the spectral characteristic, and the fundamental frequency is selected as multiples of the rotation speed of the electric motor and the switching frequency of the inverter, taking into account the number of phases of the machine. This paper deals with faulty states of electric drive. It is associated with the failure of a functional element, the circuit (breakage or closure) or the deviation of the element parameters from the nominal values. In the first case, the structural identification problem, the system's state, is considered the second - parametric.
PL
Od działania napędu elektrycznego zależy niezawodność, bezpieczeństwo i ekonomia pojazdu elektrycznego. Diagnozowanie usterek podczas uruchamiania pozwala uniknąć wypadku, wyłączając zasilanie systemu. Testy na biegu jałowym zapobiegają wypadkom, które mogą wystąpić podczas jazdy. Monitorowanie stanów technicznych zasilania elektrycznego podczas procesu transportu zapewnia awaryjny tryb pracy poprzez redystrybucję mocy pomiędzy jej elementy. Model ten przedstawia wyniki badań metody analizy spektralnej procesów elektrycznych zachodzących w obwodzie mocy modelu symulacyjnego zasilania elektrycznego. Zawartość informacyjna spektrogramów, jako cecha parametru diagnostycznego, jest określona przez opcje konfiguracji analizatora FFT. Opcje te są skonfigurowane do maksymalnej przetwornicy częstotliwości przełączania. Drugim jest okres próbkowania charakterystyki spektralnej, a częstotliwość podstawowa jest wybierana jako wielokrotność prędkości obrotowej silnika elektrycznego i częstotliwości przełączania falownika z uwzględnieniem liczby faz maszyny. Artykuł dotyczy stanów wadliwych napędu elektrycznego. Jest to związane z uszkodzeniem elementu funkcjonalnego, obwodu (przerwanie lub zamknięcie) lub odchyleniem parametrów elementu od wartości nominalnych. W pierwszym przypadku problem identyfikacji strukturalnej, stan systemu, jest uważany za drugi - parametryczny.
Rocznik
Strony
32--38
Opis fizyczny
Bibliogr. 28 poz., rys.
Twórcy
  • Department of Vehicle Electronics, Kharkiv National Automobile and Highway University, Khrakiv, Ukraine
  • Department of Vehicle Electronics, Kharkiv National Automobile and Highway University, Khrakiv, Ukraine
  • Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga, Latvia
  • Department of Vehicle Electronics, Kharkiv National Automobile and Highway University, Khrakiv, Ukraine
  • Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga, Latvia
  • Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga, Latvia
  • Department of Tractors and Cars, Kharkiv Petro Vasylenko National Technical University of Agriculture Kharkiv, Ukraine
  • Department of Vehicle Electronics, Kharkiv National Automobile and Highway University, Khrakiv, Ukraine
  • Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Riga, Latvia
Bibliografia
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  • [3] Hnatov, A.; Argun, S.; Tarasov, K.; Hnatova, A.; Migal, V.; Patļins, A. Researching the Model of Electric Propulsion System for Bus with the Matlab Simulink. In Proceedings of the 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON); Riga, Latvia, October 7 2019; pp. 1–6.
  • [4] Burch, I.; Gilchrist, J. Survey of Global Activity to Phase out Internal Combustion Engine Vehicles. Center of Climate Protection: Santa Rosa, CA, USA 2018.
  • [5] Borodenko, Y. Identification of Faults Electroprivod Car with Brushless Motor. Bulletin of Kharkiv National Automobile and Road University 2016.
  • [6] Arhun, S.; Migal, V.; Hnatov, A.; Hnatova, H.; Ulyanets, O. System Approach to the Evaluation of the Traction Electric Motor Quality. EAI Endorsed Transactions on Energy Web 2020, 7, 1–9, doi:10.4108/EAI.13-7-2018.162733.
  • [7] Migal, V.; Lebedev, A.; Shuliak, M.; Kalinin, E.; Arhun, S.; Korohodskyi, V. Reducing the Vibration of Bearing Units of Electric Vehicle Asynchronous Traction Motors. Journal of Vibration and Control 2021, 27, 1123–1131, doi:10.1177/1077546320937634.
  • [8] Tian, Y.; Guo, D.; Zhang, K.; Jia, L.; Qiao, H.; Tang, H. A Review of Fault Diagnosis for Traction Induction Motor. In Proceedings of the 2018 37th Chinese Control Conference (CCC); IEEE, 2018; pp. 5763–5768.
  • [9] Arhun, S.; Borodenko, Y.; Hnatov, A.; Popova, A.; Hnatova, H.; Kunicina, N.; Ziravecka, A.; Zabasta, A.; Ribickis, L. Choice of Parameters for the Electrodrive Diagnostic System of Hybrid Vehicle Traction. Latvian Journal of Physics and Technical Sciences 2020, 57, 3–11, doi:10.2478/lpts-2020-0017.
  • [10] Chen, H.; Jiang, B.; Ding, S.X.; Lu, N.; Chen, W. Probability Relevant Incipient Fault Detection and Diagnosis Methodology with Applications to Electric Drive Systems. IEEE Transactions on Control Systems Technology 2018, 27, 2766–2773.
  • [11] Arhun, S.; Hnatov, A.; Migal, V.; Ponikarovska, S. Determining the Quality of Electric Motors by Vibro-Diagnostic Characteristics. EAI Endorsed Transactions on Energy Web 2020, 7, 1–8, doi:10.4108/eai.13-7-2018.164101.
  • [12] Malafeev, S.I.; Novgorodov, A.A. Design and Implementationof Electric Drives and Control Systems for Mining Excavators. Russian Electrical Engineering 2016, 87, 560–565.
  • [13] Ishkova, I.; Vítek, O. Diagnosis of Eccentricity and Broken Rotor Bar Related Faults of Induction Motor by Means of Motor Current Signature Analysis. In Proceedings of the 2015 16th International Scientific Conference on Electric Power Engineering (EPE); IEEE, 2015; pp. 682–686.
  • [14] Barański, M. New Vibration Diagnostic Method of PM Generators and Traction Motors-Detecting of Vibrations Caused by Unbalance. In Proceedings of the 2014 IEEE International Energy Conference (ENERGYCON); IEEE, 2014; pp. 28–32.
  • [15] Shen, T.; Kilic, A.; Thulfaut, C.; Reuss, H.-C. An Intelligent Diagnostic Method for Permanent Magnet Synchronous Motors (PMSM) in the Electric Drive of Autonomous Vehicles. In Proceedings of the 2019 21st European Conference on Power Electronics and Applications (EPE'19 ECCE Europe); IEEE, 2019; p. P. 1-P. 10.
  • [16] Borodenko, Y.; Ribickis, L.; Zabasta, A.; Arhun, S.; Kunicina, N.; Hnatova, A.; Hnatov, A.; Patlins, A.; Kunicin, K. Using theMethod of the Spectral Analysis in Diagnostics of Electrical Process of Propulsion Systems Power Supply in Electric Car. Przegląd Elektrotechniczny 2020, 10, 47–50, doi:10.15199/48.2020.10.08
  • [17] Gangsar, P.; Tiwari, R. A Support Vector Machine Based Fault Diagnostics of Induction Motors for Practical Situation of Multi Sensor Limited Data Case. Measurement 2019, 135, 694–711.
  • [18] Brandt, M.; Gutten, M.; Koltunowicz, T.; Zukowski, P. Analysis of Winding Fault in Electric Machines by Frequency Method. In Proceedings of the 2018 ELEKTRO; IEEE, 2018; pp. 1–4.
  • [19. Masrur, M.A.; Chen, Z.; Murphey, Y. Intelligent Diagnosis of Open and Short Circuit Faults in Electric Drive Inverters for Real-Time Applications. IET Power Electronics 2010, 3, 279–291.
  • [20] Ulatowski, A.; Bazzi, A.M. A Combinational-Logic Method for Electric Vehicle Drivetrain Fault Diagnosis. IEEE Transactions on Industry Applications 2015, 52, 1796–1807.
  • [21] Ji, B.; Pickert, V.; Cao, W.; Zahawi, B. In Situ Diagnostics and Prognostics of Wire Bonding Faults in IGBT Modules for Electric Vehicle Drives. IEEE Transactions on Power Electronics 2013, 28, 5568–5577.
  • [22] Yang, C.; Yang, C.; Peng, T.; Yang, X.; Gui, W. A FaultInjection Strategy for Traction Drive Control Systems. IEEE Transactions on Industrial Electronics 2017, 64, 5719–5727.
  • [23] Yuriy BORODENKO, Leonids RIBICKIS, Anatolijs ZABASTA, Shchasiana ARHUN, Nadezhda KUNICINA, Anastasia, ZHIRAVETSKA, Hanna HNATOVA, Andrii HNATOV, Antons PATLINS, Konstantins KUNICINS Using the Method of the Spectral Analysis in Diagnostics of Electrical Process of Propulsion Systems Power Supply in Electric Car. PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 96 NR 10/2020
  • [24] Vinnikov, D., Roasto, I., Zaķis, J., Strzelecki, R. New Step-Up DC/DC Converter for Fuel Cell Powered Distributed Generation Systems: Some Design Guidelines. Electrical Review , 2010, No.8, pp.245-252. ISSN 0033-2097
  • [25] Apse-Apsītis, P., Avotiņš, A., Ribickis, L., Zaķis, J. Development of Energy Monitoring System for SmartGrid Consumer Application. In: Technological Innovation for Value Creation: Third IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 2012): Proceedings, Portugal, Costa de Caparica, 27-29 February, 2012. Berlin: Springer Berlin Heidelberg, 2012, pp.347-354. ISBN 978-3-642-28254-6. e-ISBN 978-3-642-28255-3. ISSN 1868-4238
  • [26] Kuņicina, N., Galkina, A., Žiravecka, A., Čaiko, J., Ribickis, L. Increasing Efficiency of Power Supply System for Small Manufactures in Rural Regions Using Renewable Energy Resources. Electronics and Electrical Engineering, 2009, Vol. 96, No. 8, pp.19-22. ISSN 1392-1215. e-ISSN 2029-5731.
  • [27] Kondratjevs, K., Kuņicina, N., Patļins, A., Zabašta, A., Galkina, A. Vehicle Weight Detection Sensor Development for Data Collecting in Sustainable City Transport System. No: 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Latvija, Riga, 13.-14. oktobris, 2016. Piscataway, NJ: IEEE, 2016, 305.-309.lpp. ISBN 978-1-5090-3732-2. e-ISBN 978-1-5090-3731-5.
  • [28] Patļins, A., Kuņicina, N. The Use of Remote Sensing Technology for the Passenger Traffic Flow Dynamics Study and Analysis. In: Transport Means 2014: Proceedings of the18th International Conference, Lithuania, Kaunas, 23-24 October, 2014. Kaunas: Technologija, 2014, pp.63-66. ISSN 2351-4604
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5dc29904-6e8c-4118-9ba4-04ee3455787f
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