
banner top

Ph. D. Thesis
Model predictive fault tolerant control and flux weakening operation for asymmetrical dual three-phase permanent magnet synchronous machines applied to electric vehicles
- Doctoral student:
- Adriano Navarro Temoche
- Year:
- 2025
- Director(s):
- Inigo Kortabarria, Edorta Ibarra
- Description:
As the world’s fourth-largest emitter, the European Union has adopted ambitious climate targets and is accelerating the transition towards electric vehicles (EVs). The electric machine is a key component of EVs, with Permanent Magnet Synchronous Machines (PMSMs) currently dominating thanks to their high efficiency and power density. However, future EVs will demand enhanced features such as improved power density and efficiency, higher operating speeds with more demanding flux weakening (FW) requirements, fault tolerance, and greater control flexibility. Given the growing operational requirements demanded in electromobility, multiphase machines, and particularly Dual Three-Phase (DTP) configurations, have emerged as promising candidates for next-generation EV drives.
In this context, this thesis proposes novel control strategies aimed at optimising the performance of DTP-PMSMs across the entire operating range of an EV propulsion system, with special focus on FW and fault tolerant operation, using a rapid control prototyping environment (OPAL-RT OP4510). Overall, this thesis offers valuable insights and practical tools for advancing the control of multiphase PMSM drives, taking advantage of the potential of MPC in the future of electromobility.