Abstract
In order to simplify the application and improve diagnostic speed of the diagnostics, a novel method to diagnose multiple open circuit faults in insulated gate bipolar transistors (IGBTs) by three-phase currents for power inverter in electric vehicles is presented. The summation of currents with semi-period phase-difference is described in diagnostic variables with exploration of the current information in faulty condition. In contrast with plentiful existing methods which rely on the motor models and control parameters, this algorithm merely requires phase currents. Meanwhile, the normalized way based on the absolute phase currents and variable parameter moving average method are applied to improve the diagnostic speed and independence of load variation, which contributes to the real-time application in the electric vehicles. Experimental results, using a vector-controlled permanent magnet synchronous motor (PMSM) and digital signal processor MC56F8346, are presented to verify the algorithm effectiveness, showing many features, such as applicability for multiple open circuit faults, well-robustness against false alarms, briefness and agility for the diagnosis function.
Highlights
With the advent of worldwide shortage of energy sources, global warming and the more stringent emission regulations, electric vehicles have played a significant role for the society [1,2,3,4]
The simulation model consists of the DC voltage source subsystem, the motor and drive power electronics subsystem, the space vector control subsystem where the diagnostic algorithm is embedded
Considering auxiliary variables an, it can be seen that they are irrelevant with this case and an change and diagnostic variables changed again owing to phase current ic which is eliminated at the lower half-cycle
Summary
With the advent of worldwide shortage of energy sources, global warming and the more stringent emission regulations, electric vehicles have played a significant role for the society [1,2,3,4]. Thecondition, summation of currents with semi-period phase-difference istonon-zero under varied load condition, robustness against false alarms, especially showing great contribution to the outside fault diagnostic devices and the application in electric vehicles. Aiming at these advantages, faulty condition, which could devices be theand principle to localize the vehicles. Thelevel, new the algorithm is diagnostic speed enhance the robustness againstmethod false alarms by load normalized implemented with a digital signal processor Semiconductors, that this algorithm hasthegreat advantage inmoving the detect speed and resistivity against false alarms, method and variable parameter average method are adopted. Fault has great advantage in the detect speed and resistivity against false alarms, proving its advanced diagnostic level
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