Hybrid Open-Circuit Fault Detection Algorithm for Two-Level Three-Phase Automotive Interior Permanent Magnet Synchronous Machine Drives

Esther Altemir, Andres Sierra-Gonzalez, Elena Trancho, Fernando Alvarez-Gonzalez, Edorta Ibarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 International Conference on Electrical Machines, ICEM 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350370607
DOIs
Publication statusPublished - 2024
Event2024 International Conference on Electrical Machines, ICEM 2024 - Torino, Italy
Duration: 1 Sept 20244 Sept 2024

Publication series

Name2024 International Conference on Electrical Machines, ICEM 2024

Conference

Conference2024 International Conference on Electrical Machines, ICEM 2024
Country/TerritoryItaly
CityTorino
Period1/09/244/09/24

Keywords

  • Electric vehicles
  • Fault detection
  • Fault diagnosis
  • Permanent magnet machines
  • Power system faults

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