A comparison of various open-circuit fault detection methods in the IGBT-based DC/AC inverter used in electric vehicle

Abstract Fault detection can increase the reliability and efficiency of power electronic converters employed in the power systems. Among the converters in the power system, voltage source inverters are used to drive electric motors. Due to high pressure and complex work in this environment, these inverters are prone to breakdowns and faults. That's why providing a way to recognize faults in the inverters is very important. This article studies the open-circuit fault of IGBT in an electric vehicle in dynamic conditions. The three-phase current and wavelet transform is used to identify the state of the system and extracting the current waveform. MLP Neural network algorithms, SVM, SOM, and K-means is used to detect and classify the faults. A comparison of various algorithms used in this paper was done. Electric vehicles have been studied and analyzed in 5 dynamics and 5 static modes in a total of 220 fault cases. The results show the detection and recognition of all forms of faults.

[1]  Demba Diallo,et al.  A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive , 2008, IEEE Transactions on Industrial Electronics.

[2]  T. M. Jahns,et al.  Low-cost diagnostic method for open-switch faults in inverters , 2010 .

[3]  Jose de Oliveira,et al.  Labview FPGA FOC implementation for synchronous Permanent Magnet Motor Speed Control , 2014, 2014 11th IEEE/IAS International Conference on Industry Applications.

[4]  F. Crescimbini,et al.  Multiple input DC-DC power converter for fuel-cell powered hybrid vehicles , 2002, 2002 IEEE 33rd Annual IEEE Power Electronics Specialists Conference. Proceedings (Cat. No.02CH37289).

[5]  M.E.H. Benbouzid,et al.  Design and implementation of an Electric Differential for traction application , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[6]  M. Liserre,et al.  Toward Reliable Power Electronics: Challenges, Design Tools, and Opportunities , 2013, IEEE Industrial Electronics Magazine.

[7]  Behrooz Mirafzal,et al.  Open-Circuit IGBT Fault Detection and Location Isolation for Cascaded Multilevel Converters , 2017, IEEE Transactions on Industrial Electronics.

[8]  Fatih Korkmaz,et al.  Comparative performance evaluation of FOC and DTC controlled PMSM drives , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[9]  M.E.H. Benbouzid,et al.  Comparative Analysis of Control Techniques for Efficiency Improvement in Electric Vehicles , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[10]  M. Aktas,et al.  Wavelet-based switching faults detection in direct torque control induction motor drives , 2010 .

[11]  Yide Wang,et al.  Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter. , 2016, ISA transactions.

[12]  Dahaman Ishak,et al.  A speed sensorless field oriented control of parallel- connected dual PMSM , 2011, 2011 IEEE International Conference on Control System, Computing and Engineering.

[13]  Karen L. Butler-Purry,et al.  Potential Power Quality Benefits of Electric Vehicles , 2013, IEEE Transactions on Sustainable Energy.

[14]  Ming-Shyan Wang,et al.  DSP-based adaptive fuzzy control for a sensorless PMSM drive , 2009, 2009 Chinese Control and Decision Conference.

[15]  Rolf Isermann,et al.  Fault-tolerant actuators and drives—Structures, fault detection principles and applications , 2009 .

[16]  Jin Zhao,et al.  Data-based inverter IGBT open-circuit fault diagnosis in vector control induction motor drives , 2013, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).

[17]  Frede Blaabjerg,et al.  Study and Handling Methods of Power IGBT Module Failures in Power Electronic Converter Systems , 2015, IEEE Transactions on Power Electronics.

[18]  Gao Lin,et al.  Sensorless Permanent Magnet Synchronous Motor drive using an optimized and normalized Extended Kalman filter , 2011, 2011 International Conference on Electrical Machines and Systems.

[19]  Jin Zhao,et al.  Data-based inverter multiple fault diagnosis for vector control induction motor drives , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[20]  A.M.S. Mendes,et al.  Voltage source inverter fault diagnosis in variable speed AC drives, by the average current Park's vector approach , 1999, IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272).

[21]  S. S. Moosavi,et al.  An Open-Circuit Fault Detection Method with Wavelet Transform In IGBT-Based DC/AC Inverter Used in Electric Vehicles , 2018 .

[22]  Mario J. Duran,et al.  Open-Switch Fault Detection in Five-Phase Induction Motor Drives Using Model Predictive Control , 2018, IEEE Transactions on Industrial Electronics.

[23]  Antonio Marcus Nogueira Lima,et al.  Fault detection of open-switch damage in voltage-fed PWM motor drive systems , 2003 .

[24]  Davood Arab Khaburi,et al.  Artificial neural network-based fault diagnosis in the AC–DC converter of the power supply of series hybrid electric vehicle , 2016 .