TY - GEN
T1 - Hybrid Open-Circuit Fault Detection Algorithm for Two-Level Three-Phase Automotive Interior Permanent Magnet Synchronous Machine Drives
AU - Altemir, Esther
AU - Sierra-Gonzalez, Andres
AU - Trancho, Elena
AU - Alvarez-Gonzalez, Fernando
AU - Ibarra, Edorta
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Interior permanent magnet synchronous machine drives in Electric Vehicles operate in extremely harsh conditions, and open-circuit faults can be common. The incorporation of a fast and accurate fault determination algorithm is of great interest to protect the system, driving it into fail-safe mode, or even triggering a fault-tolerant strategy. This work considers the wide operating conditions of an electric vehicle, ranging from standstill to very high speeds, and from light to heavy load conditions. A novel hybrid detection and diagnosis algorithm that merges various techniques is proposed to accurately detect and diagnose open-circuit faults in the automotive context. Simulations that verify the correctness of the proposal are provided using a high fidelity drive model.
AB - Interior permanent magnet synchronous machine drives in Electric Vehicles operate in extremely harsh conditions, and open-circuit faults can be common. The incorporation of a fast and accurate fault determination algorithm is of great interest to protect the system, driving it into fail-safe mode, or even triggering a fault-tolerant strategy. This work considers the wide operating conditions of an electric vehicle, ranging from standstill to very high speeds, and from light to heavy load conditions. A novel hybrid detection and diagnosis algorithm that merges various techniques is proposed to accurately detect and diagnose open-circuit faults in the automotive context. Simulations that verify the correctness of the proposal are provided using a high fidelity drive model.
KW - Electric vehicles
KW - Fault detection
KW - Fault diagnosis
KW - Permanent magnet machines
KW - Power system faults
UR - http://www.scopus.com/inward/record.url?scp=85207476959&partnerID=8YFLogxK
U2 - 10.1109/ICEM60801.2024.10700333
DO - 10.1109/ICEM60801.2024.10700333
M3 - Conference contribution
AN - SCOPUS:85207476959
T3 - 2024 International Conference on Electrical Machines, ICEM 2024
BT - 2024 International Conference on Electrical Machines, ICEM 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Electrical Machines, ICEM 2024
Y2 - 1 September 2024 through 4 September 2024
ER -