This article concerns the geometric optimization of permanent magnets motor structures using Finite Element software. The study presented in this paper concerns the back electromotive force shape optimization for the reduction of the motor ripple torque. This study is based on two steps: firstly, the pre-dimensioning of the motor structures using the analytical method and, secondly, optimization of the geometry of the studied motor structures through the finite element method since the shape of the back electromotive forces strongly depend on the geometry of the motor structure such as the width of the magnets. Simulation results based on a parameterized finite element model show the performance of the study and its influence on the motor performance such as ripple torque.

This article concerns an improved vector control model. This model is developed in a phase which comes just before the phase of its integration on electronic boards such as those with Field Programmable Gate Array (FPGA) or Digital Signal Processor (DSP). The innovative character of this model is based on the replacement of the average model of the Direct Current (DC) to Alternating Current (AC) converter powering a synchronous motor with permanent magnets by a precise model considering the transient model of the power transistors, electromagnetic switches, and diodes. The overall model generates the six DC-AC converter control signals to regulate the speed of the permanent magnet synchronous motor (PMSM) using the technique of back electromotive forces compensation to reduce the power chain energy consumption for variable rectilinear speed operation. This model makes it possible to consider the role of diodes. This phenomenon is not considered by the average models of static DC-AC converters considering that the power transistors conduce bidirectionally. This model avoids all types of sensors that are usually used, such as current and speed sensors.

This paper presents a comparative study between two permanent magnet motor structures, one with trapezoidal waveforms and the other with sinusoidal waveforms, from the perspective of production cost, dynamic characteristic performance, and energy economy. The novel element of the research is also in using an electromagnetic converter to reduce the vehicle’s overall energy consumption and to push the multiple disadvantages of using the insolated bipolar transistors. This study is based on the sizing of the electromagnetic converter and the two motor structures using the method of combined analytical finite elements. The program for sizing is coupled with two control laws relating to the motor types in order to choose the top performers according to good dynamic characteristics and energy saving. The simulation results show, on the one hand, the equivalence of these structures from a dynamic characteristic point of view and, on the other hand, that the trapezoidal waveform motor structure is more economical. The design of an excitation system optimizing the consumed energy equipped by a hybrid excitation motor is also developed.

The proposed approach present the development of a computer tool that allows, in the first phase, the modeling of the electric vehicle power chain. This phase is based on a library developed under the Matlab-Simulink simulation environment. This library contains all the components of the power chain; it offers the selection of the desired configuration of each component. In the second phase, the tool solves the autonomy optimization problem. This problem is resolved by a program based on genetic algorithms. This program permits to optimize the configuration parameters maximizing the vehicle autonomy of the chosen chain. This tool is based on a graphical interface developed under the Matlab simulation environment.

This paper presents an optimal design and control methodologyof wind energy system based on AC-DC-DC power conversionregulating conjointly turbine speed and battery load voltage topermit energy recovery in a battery accumulator at optimalregime.

Saving energy, increasing autonomy and reducing the cost of electric cars is an important factor for users of electric cars. In this context, this work concerns the reduction of electricity consumption of electrified cars from the integration of a power management system. Indeed, an overflow system used during the high acceleration phases and a storage system of the energy recovered on a reserve energy accumulator used during the deceleration phases are advantageous for saving energy. For this fact, a system of energy management in the power chain of electric cars is studied. This system allows energy savings to increase the autonomy of electric cars for a given stored energy that leads to a significant reduction in the cost of use of electric cars. This study also addresses the problem of saving energy and reducing the production cost of electric cars by choosing components with low energy losses and reduced production cost.