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 language | English |
|---|---|
| Title of host publication | 2024 International Conference on Electrical Machines, ICEM 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350370607 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 International Conference on Electrical Machines, ICEM 2024 - Torino, Italy Duration: 1 Sept 2024 → 4 Sept 2024 |
Publication series
| Name | 2024 International Conference on Electrical Machines, ICEM 2024 |
|---|
Conference
| Conference | 2024 International Conference on Electrical Machines, ICEM 2024 |
|---|---|
| Country/Territory | Italy |
| City | Torino |
| Period | 1/09/24 → 4/09/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electric vehicles
- Fault detection
- Fault diagnosis
- Permanent magnet machines
- Power system faults
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