Abstract:In this paper, we present a comparative study of two Electric Vehicle power chain, one in IGBTs and the other with electromagnetic switches (IEs) in order to select the most efficient in point of view of energy economy and production costs. In this context, a model of the total losses of the two power chains is developed an implanted under Matlab-Simulink environnement.

This paper describes the electric parameters determination for Synchronous Motor with Dual Excitation, using the joined method analytic/finite elements. Indeed several models of mutual and principal inductances and electric motor constant are developed analytically and validated by the finite elements method. These models are fortunately parameterized allowing to the formulation of several optimization problems such as the motor ripple torque.

Several human visual system (HVS) based quality metrics have been developed in recent years to measure the quality distortions caused by digital image coding techniques. Because of the complicated nature of the HVS characteristics, these metrics do not provide acceptable correlation with perceptual evaluations of the distortion. Recent studies by the Visual Quality Experts Group (VQEG) also show that the current HVS-based techniques do not provide a clear advantage over a mathematically defined technique such as mean square error (MSE). Therefore, this paper proposes a new quality metric based on the dynamic characteristics and on the just-noticeable-difference threshold characteristics introduced by Weber's law: the relative weighted Peak to Signal Noise Ratio. Our experiments on various image distortion types indicate that our metric performs significantly better than the widely used distortion metric Mean Squared Error. We should that the rwPSNR correlates with human perception of image quality. KeywordsWeber's law, human visual system (HVS), means squared error (MSE), rwPSNR.

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The modeling of power chain designed by a systematic approach, based on the laws of electromagnetics maximizing torque and integrating a system of energy recovery, fully validates this approach to design and present an attractive solution to make the motorization of electrical vehicles less expensive, cheap and reliable.