Standstill Determination of PM Flux Linkage Based on Minimum Saliency Tracking for PM-SyR Machines

Pescetto, Paolo; Pellegrino, Gianmario

doi:10.1109/ecce.2019.8913077

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…The IPM torque control needs flux LUTs on the d,q-axes, which means the resultant flux among the magnets' flux and the stator currents on the d-and q-axes for the optimal control, so, in the preliminary design phase, the FEMM analysis [14] is crucial for the performance evaluation in the Simscape model. Flux Linkage Maps identification is needed for the FEMM maps validation and the final experimental control implementation [15][16][17].…”

Section: Methodsmentioning

confidence: 99%

Advanced Torque Control of Interior Permanent Magnet Motors for Electrical Hypercars

Bianco,

Rubino,

Carello

et al. 2024

WEVJ

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Nowadays, electric vehicles have gained significant attention as a promising solution to the environmental concerns associated with traditional combustion engine vehicles. With the increasing demand for high-performance hypercars, the need for advanced torque control strategies has become paramount. Field-Oriented Control using Current Vector Control represents a consolidated solution to implement torque control. However, this kind of control must take into account the DC link voltage variation and the variation of motor parameters depending on the magnets’ temperature while providing the maximum torque production for specific inverter current and voltage limitations. Multidimensional lookup tables are needed to provide a robust torque control from zero speed up to maximum speed under deep flux-weakening operation. Therefore, this article aims to explore the application of FOC 4D control in electrical hypercars and its impact on enhancing their overall performance and control stability. The article will delve into the principles underlying FOC 4D control and its advantages, challenges, and potential solutions to optimize the operation of electric hypercars. An electric powertrain model has been developed in the Simulink environment with the Simscape tool using a S-function block for the implementation of digital control in C-code. High-power electric motor electromagnetic parameters, derived from a Finite Element Method magnetic model, have been used in the simulation. The 4D LUTs have been computed from the motor flux maps and implemented in C-code in the S-function. The choice of FOC 4D control has been validated in the main load points of a hypercar application and compared to the conventional FOC. The final part of the research underlines the benefits of the FOC 4D on reliability, critical in motorsport applications.

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