TY - JOUR
T1 - Application-Driven Data Acquisition for Condition Monitoring of Power Semiconductors in Traction Inverter Applications
AU - Wei, Xing
AU - Jin, Long
AU - Yao, Bo
AU - Peng, Yingzhou
AU - Wang, Huai
N1 - Publisher Copyright:
IEEE
PY - 2024
Y1 - 2024
N2 - Condition monitoring has proven to be an effective means of enhancing the reliability of power semiconductors. This paper proposes an innovative and practical data acquisition scheme that can serve various condition monitoring purposes for power semiconductors in traction inverter applications. It is achieved through the DC-link discharging operation mode of the traction inverter after the system is shut down, minimizing the new risks introduced by condition monitoring into system operation, which is critical to the safety of traction applications. Moreover, due to the extremely low dynamics in the discharging operation mode, the sampling requirements for the health indicators and operating conditions of power semiconductors are greatly reduced, and the measurement disturbances from parasitic parameters are eliminated. The proposed method is promising for electric vehicle (EV) applications as the required operation condition is an inherently programmed and frequent mode. Compared to conventional online data acquisition schemes, it outperforms in complexity, accuracy, safety, and practicality. The proof-of-concept experiments based on a three-phase inverter prototype verify the effectiveness of the proposed method.
AB - Condition monitoring has proven to be an effective means of enhancing the reliability of power semiconductors. This paper proposes an innovative and practical data acquisition scheme that can serve various condition monitoring purposes for power semiconductors in traction inverter applications. It is achieved through the DC-link discharging operation mode of the traction inverter after the system is shut down, minimizing the new risks introduced by condition monitoring into system operation, which is critical to the safety of traction applications. Moreover, due to the extremely low dynamics in the discharging operation mode, the sampling requirements for the health indicators and operating conditions of power semiconductors are greatly reduced, and the measurement disturbances from parasitic parameters are eliminated. The proposed method is promising for electric vehicle (EV) applications as the required operation condition is an inherently programmed and frequent mode. Compared to conventional online data acquisition schemes, it outperforms in complexity, accuracy, safety, and practicality. The proof-of-concept experiments based on a three-phase inverter prototype verify the effectiveness of the proposed method.
KW - Condition monitoring
KW - data acquisition
KW - electric vehicle
KW - Inverters
KW - Junctions
KW - Power measurement
KW - power semiconductor
KW - Semiconductor device measurement
KW - Temperature measurement
KW - traction inverter
KW - Voltage measurement
UR - http://www.scopus.com/inward/record.url?scp=85179831697&partnerID=8YFLogxK
U2 - 10.1109/TTE.2023.3339848
DO - 10.1109/TTE.2023.3339848
M3 - Journal article
AN - SCOPUS:85179831697
SN - 2332-7782
SP - 1
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
ER -