TY - GEN
T1 - Online Signal-Based Fault Detection and Diagnosis of EV Inverter during WLTP Driving Cycle
AU - Alvarez-Gonzalez, Fernando
AU - Sierra-Gonzalez, Andres
AU - Trancho, Elena
AU - Marcos, Miguel Allende
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Recently, transport electrification has undergone a dramatic expansion. This is generating an increasing demand for powertrain reliability. Furthermore, the recent adoption of wide bandgap (WBG) devices, pushes this need even more, particularly for power electronics. This manuscript addresses this need by combining simple and computationally light signal-based fault detection and diagnosis (FDD) methods. These are tested online by simulating electric vehicle (EV) three-phase inverter faults during standardized driving cycles. Simulations are carried out including a three-phase interior permanent magnet synchronous machine (IPMSM) model and a state of the art second order sliding mode control (SMC) with four quadrant capability.
AB - Recently, transport electrification has undergone a dramatic expansion. This is generating an increasing demand for powertrain reliability. Furthermore, the recent adoption of wide bandgap (WBG) devices, pushes this need even more, particularly for power electronics. This manuscript addresses this need by combining simple and computationally light signal-based fault detection and diagnosis (FDD) methods. These are tested online by simulating electric vehicle (EV) three-phase inverter faults during standardized driving cycles. Simulations are carried out including a three-phase interior permanent magnet synchronous machine (IPMSM) model and a state of the art second order sliding mode control (SMC) with four quadrant capability.
KW - Electric vehicle
KW - Fault detection
KW - Fault diagnosis
KW - Inverter
KW - Permanent magnet synchronous machine
KW - Sliding mode control
UR - https://www.scopus.com/pages/publications/85126216431
U2 - 10.1109/VPPC53923.2021.9699360
DO - 10.1109/VPPC53923.2021.9699360
M3 - Conference contribution
AN - SCOPUS:85126216431
T3 - 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
BT - 2021 IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - ProceedingS
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021
Y2 - 25 October 2021 through 28 October 2021
ER -
