There are challenges to the reliability evaluation for insulated gate bipolar transistors(IGBT)on electric vehicles,such as junction temperature measurement,computational and storage *** this paper,a junction temperat...
详细信息
There are challenges to the reliability evaluation for insulated gate bipolar transistors(IGBT)on electric vehicles,such as junction temperature measurement,computational and storage *** this paper,a junction temperature estimation approach based on neural network without additional cost is proposed and the lifetime calculation for IGBT using electric vehicle big data is *** direct current(DC)voltage,operation current,switching frequency,negative thermal coefficient thermistor(NTC)temperature and IGBT lifetime are *** the junction temperature(T_(j))is *** the rain flow counting method,the classified irregular temperatures are brought into the life model for the failure *** fatigue accumulation method is then used to calculate the IGBT *** solve the limited computational and storage resources of electric vehicle controllers,the operation of IGBT lifetime calculation is running on a big data *** lifetime is then transmitted wirelessly to electric vehicles as input for neural *** the junction temperature of IGBT under long-term operating conditions can be accurately estimated.A test platform of the motor controller combined with the vehicle big data server is built for the IGBT accelerated aging ***,the IGBT lifetime predictions are derived from the junction temperature estimation by the neural network method and the thermal network *** experiment shows that the lifetime prediction based on a neural network with big data demonstrates a higher accuracy than that of the thermal network,which improves the reliability evaluation of system.
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