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COMPERE Project Meeting Dr Dawei Xiang 03/11/2008

COMPERE Project Meeting Dr Dawei Xiang 03/11/2008. Contents. IGBT terminal characteristics simulation VSI characteristic harmonics simulation Problems IV. Further work plan. IGBT terminal characteristics simulation. Aims of study.

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COMPERE Project Meeting Dr Dawei Xiang 03/11/2008

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  1. COMPERE Project MeetingDr Dawei Xiang03/11/2008

  2. Contents • IGBT terminal characteristics simulation • VSI characteristic harmonics simulation • Problems IV. Further work plan ESR Network

  3. IGBT terminal characteristics simulation ESR Network

  4. Aims of study • To build a detailed simulation model for understanding the fundamentals of device operation and analysis of device Failure Modes and Mechanisms and their effects (FMMEA). • To form a basis for power converter terminal characteristics study and CM method research. ESR Network

  5. IGBT degradation and its effects • Devices are subjected to interrelated thermal, electrical and mechanical stresses. FMMEA analysis of IGBT ESR Network

  6. Saber physic-based IGBT model Hefner IGBT model • Advantages: • Detailed physic model • Electrothermal simulation available • Experimentally verified • Disadvantages: • Difficult to parameterize • Encryption of MAST template ESR Network

  7. Case study • Considering a IGBT under the stresses caused by high temperature and high current, the effects of die-attach solder fatigue and/or gate oxide degradation are simulated by artificially changing the corresponding parameters in the Saber physics-based IGBT model. Combinations of IGBT parameters to simulate the solder fatigue and/or gate oxide degradation IGBTs: hgtg27n120bn (1200V/27A) ESR Network

  8. Simulated circuits DC characteristics analysis circuit dynamic characteristics analysis circuit ESR Network

  9. Simulation results (case 1: T↑) a) Ic-Vge Vge(th): no effect gfs: 130 S=>143 S (↑10%) b) Ic-Vce For Vge=11V Vce0:1.25V=>0.9V (↓28%) Ron: 0.05Ω=>0.015Ω (↓70%) ESR Network

  10. Simulation results (case 1: T↑) c) Turn on td(on): no effect tr: no effect d) Turn off td(off): 300ns=>200ns (↓33%) trv: 150ns=>500ns (↑233%) tf1: no effect Itail0: 2A=>12A (↑500%) tf2: 0.8us=>5us (↑525%) ESR Network

  11. Simulation results (case 5) a) Ic-Vge Vge(th): 8 V=>8.6 V (↑7.5%) gfs: 130 S=>106 S (↓18.4%) b) Ic-Vce For Vge=11V Vce0: 1.25V=>0.9V (↓28%) Ron: 0.05Ω=>0.027Ω (↓46%) ESR Network

  12. Simulation results (case 5) c) Turn on td(on): 97 ns=>113ns (↑6%) tr: no effect d) Turn off td(off): 300ns=>200ns (↓33%) trv: 150ns=>400ns (↑166%) tf1: no effect Itail0: 2A=>8A (↑300%) tf2: 0.8us=>1.8us (↑125%) ESR Network

  13. Simulation results (case 2: A↓) Fault detection based on gate voltage Monitoring [1] Simulated turn on transient [1] M. Rodriguez, A. Claudio, D. Theilliol et al., “A new fault detection technique for IGBT based on gate voltage monitoring,” in IEEE Power Electronics Specialists Conference, 17-21 June 2007, pp. 1001-1005. ESR Network

  14. Results and discussions IGBT terminal characteristics affected by aging (NE: No Effect) ESR Network

  15. Results and discussions • Temperature influences the carrier mobility, high-level lifetime, which leads to the changes of device DC and dynamic characteristics. • Reduced die-attach area increases the base resistance so as to the total on-state resistance, while the turn-on transient is affected by the Agd so as to the Cgdj. • The tapped electrons in gate oxide reduces the Vt, which influences the DC characteristics and the dynamic delay times: td(on) and td(off). • The gate oxide degradation influences the transconductance which can mainly be reflected on the device DC characteristics. • Case 5 illustrates the combined aging effects caused by the solder fatigue and gate oxide degradation. Simulation results show there exists the change of device terminal characteristics due to aging, which can be used for CM. ESR Network

  16. II. VSI characteristic harmonics simulation ESR Network

  17. Aims of study • To investigate the effect of the devices aging on the power converter characteristic harmonics. • To form a basis for the study of harmonic resonance based power converter CM method. • To built a simulation model to investigate other power converter terminal characteristics affected by device aging, eg. EMI characteristics. ESR Network

  18. Origin of characteristic harmonics Origin of characteristics harmonics in one phase PWM voltage waveforms for positive current ESR Network

  19. Case study Simulated 3-phase VSI in Saber DC link voltage: Vdc=600V Gate circuit parameters: Rg=12 Ω, lg=100nH Switching frequency: fsw=10 kHz Dead time: td=2μs Carrier frequency: fc=50 Hz Modulation ratio: M=0.8 IGBT: hgtg27n120bn (1200V/27A) Diode: hf50d120ace (1200V/50A) Load inductance: Ll=0.8867 mH Load resistance: Rl=10 Ω The same 5 cases as previous were simulated where the IGBT parameters are changed to simulate the solder fatigue and/or gate oxide degradation ESR Network

  20. Simulation results (case 1: T↑) Spectrum of phase A current for 3-phase VSI before and after aging (T increasing) ΔU5th= ΔI5th*Z5=(0.17066-0.22982)*10.0965=-0.5973 V ΔU7th= ΔI7th*Z7=(0.086418-0.11926)*10.1883=-0.3346 V ESR Network

  21. Results and discussions Characteristics harmonics affected by aging ESR Network

  22. Results and discussions • The IGBT Vce0 and switching behavior determines the amplitude of characteristic harmonics through changing the V-A characteristics of output PWM voltage during aging. • Simulation results show that characteristics harmonics are more sensitive to the changes of temperature while the other factors may have slight effects on them. • Under the predefined simulation conditions, a deviation of about 0.3V can be reached for 5th harmonic. Such a variation falls in the range where our previous harmonic resonance method is capable of detecting. ESR Network

  23. III. Problems ESR Network

  24. Problems • Power electronics modelling and simulation • As Saber model is difficult to be parameterized, which can be solved by using Angus’s devices model. And there comes the problems of obtaining the permission of this model for the research of the project. • Conflicting results of IGBT characteristics degradation • Our simulation results show that Ron decreases with the rise in temperature because of the negative temperature coefficient of resistance for p-n junction [2]. While some literatures reported an increase of Vce(sat) after aging which was explained by the consequence of increased channel resistance [3]. [2] Nishad Patil, Diganta Das, Kai Goebe and Michael Pecht, “Failure Precursors for Insulated Gate Bipolar Transistors (IGBTs),” 2008. [3] Maiga, C.O. Tala-Ighil, B. Toutah, H. Boudart, B., “Behaviour of punch-through and non-punch-through insulated gate bipolar transistors under high temperature gate bias stress”, IEEE International Symposium on Industrial Electronics, 2004, pp.1035- 1040 ESR Network

  25. IV. Further work plan ESR Network

  26. Terminal characteristics simulation • More simulations will be carried out to further study the terminal characteristics of device and converter under different conditions, eg. working point, ambient temperature and unbalanced operation. • Electrothermal simulations will be carried out in order to take the device self-heating effect in to account. • Detailed analysis will be made systematically to correlate the characteristics changes to the device conditions. ESR Network

  27. Accelerated aging test Over loading the IGBT by DC power supply for 1 hour to simulate a long period conduction stress operation.[4] Regulating the gate voltage to allow case temperature to be increased up to 155°C [4] A. Maouad, A. Hoffmann, A. Khoury, J.-P. Charles, “Characterization of high-density current stressed IGBTs and simulation with an adapted SPICE sub-circuit,” Microelectronics Reliability, 40, 2000, pp. 973-979. ESR Network

  28. Accelerated aging test Accelerated power cycling test system [5] It normally takes 2-3 months to complete an aging test of approx. 600,000 cycles [5] Xiong Y., Cheng X., Shen Z.J., Mi C., Wu H., Garg V., “A Prognostic and Warning System for Power Electronic Modules in Electric, Hybrid, and Fuel Cell Vehicles”, IEEE Industry Applications Conference, Oct. 2006, pp.1578 – 1584. ESR Network

  29. Experimental verification on drive system Rating: 400V /10kW ESR Network

  30. New CM studies • On-state resistance identification based CM • DC offset identification based CM • EMI characteristics based CM low frequency characteristics high frequency characteristics ESR Network

  31. Initial idea for Ron identification Synchronous machine: 460V/ 60Hz/ 200HP Rs=2.01 mΩ Ψs_transient decays during Us sudden drop from 1pu to 0.95pu ESR Network

  32. Thanks for you attention!

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