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Increased environmental and energy security concerns have made electric vehicles an attractive solution over the recent years. Therefore, improving their traction chain global efficiency, especially in high-speed region, became a major task in today's research. This paper investigates a novel optimization method applied on electric vehicles motorized by an Electrically Excited Synchronous Motor (EESM). The study proposes an algebraic method based on the Lagrange multiplier technique to control the motor torque efficiently while extending its speed limit using the additional degree of freedom offered by this type of machines. The reference currents are calculated offline and stored in lookup tables (LUT) using MATLAB/Simulink. The proposed method is compared to conventional Maximum Torque Per Ampere (MTPA) strategies applied on Internal Permanent Magnet Synchronous Machines (IPMSM) by maintaining the EESM excitation current constant and controlling the d-q axis currents for a likewise behavior. The optimization and speed limit extension benefits of the novel control scheme, especially in high-speed region, are emphasized via simulation results in the torque/speed domain.
This paper presents a sensorless control method for permanent magnet synchronous motors (PMSMs) based on the reconstruction of the speed and position of the rotor using the traditional method of the back-EMF with the addition of an innovative observation speed. The gains of the observer are a function of the speed and here a simple adaptation law that avoids the calculation in real time of the gains is proposed. Furthermore the speed is calculated from the back-EMF which induces a velocity oscillation due to the observation errors inherent to the sinusoidal forms. To overcome this difficulty, the direct derivation of the position is proposed taking into account the discontinuity of the position due to the modulo function. Simulation and experimental results validate the proposed method.
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