Abstract
This paper presents and proposes a new approach to achieve robust speed estimation in induction motor sensorless control. The estimation method is based on a reduced-order Extended Kalman Filter (EKF), instead of a full order EKF. The EKF algorithm uses a reduced-order statespace model structure that is discretized in a particular and innovative way proposed in this paper. With this model structure, only the rotor flux components are estimated, besides the rotor speed itself. Important practical aspects and new improvements are introduced that enable us to reduce the execution time of the algorithm without difficulties related to the tuning of covariance matrices, since the number of elements to be adjusted is reduced.

Abstract
Battery-powered electric vehicle appear to be one of the viable solutions for the growing concerns for environmental protection and the fast rate of depletion of world fuel oil supply. This type of vehicle can become a viable alternative to the internal combustion engine only if they are able to meet certain reliability, safety, performance, and cost criteria. In addition, this type of electrical vehicles have serious disadvantages because of the limitation on cruising range imposed by weight, capacity of the electric accumulators and long recharging time. Improvement of efficiency of induction motor traction drives is an important issue in pure electric vehicles to improve the running distance on one charge. In this paper, the authors evaluate a loss-minimization algorithm (LMA) by considering their influence on the performance of the vehicle. The evaluation of the proposed LMA is demonstrated experimentally under different operating conditions of the vehicle.

Abstract
The purpose of this paper is to design the propulsion system for a Neighbourhood Electric Vehicle (NEV) and implement a control architecture which is suitable for this kind of application. The review of the vehicle model is presented. This model is used to establish the propulsion system requirements in terms of torque and power. Once these are known the specifications for the motor and transmission system are derived. A digital platform has been developed and implemented. This hardware platform interacts via wireless communication with a high level application to facilitate writing and reading the host registers. A PC graphical user interface was developed to allow the computation of the control parameters. Some experimental results are provided in order to verify the performance of this new controller.

Abstract
This paper presents FIEEV - Fault Injection Environment for Electric Vehicles, a Matlab/Simulink-based simulator environment for evaluating the fault impacts on vehicle stability in electrical vehicles. FIEEV makes it possible to simulate the temporal behavior of the faults and to study its effects on loss of vehicle's performance. Simulation results are presented to prove the validity of the presented framework. © 2012 IEEE.

Abstract
In this paper we present a new fully integrated control system in a System-on-Chip (SoC) suitable to implement the controller for a Neighbourhood Electric Vehicle (NEV) based on FPGA (Field Programmable Gate Array) technology. A prototype has been designed specifically to meet the requirement of low cost and it contains all of the active functions required to implement the electronic differential. The controller uses Field Oriented Control (FOC) techniques with offline parametric identification of the motors to enhance its performance. A PC based user interface allows easy controller configuration, data acquisition and performance analysis. The functionality of the electronic differential is verified through experiments with a bench test equipment equivalent to the actual system. The experimental results show that the proposed controller is able to follow the reference torque and curvature angle with a good dynamic and relatively low error.

Abstract
This paper describes a practical instrument for realtime visualization of the necessary quantities for analysis, diagnosis and investigations of AC machine drives on an oscillographic display. The instrument needs no shaft position or speed sensor, it uses exclusively the acquired stator currents and voltages and provides information, in electrical and visual form, of: starer and rotor flux, torque, reactive power, torque current, flux current, torque angle and slip frequency. In the present version, the instrument circuitry is based on analogue signal processing techniques. The theoretical basis is a continuous-time machine model defined by a pair of simultaneous complex-coefficient differential equations. A formalization of the various calculation methods for the signal estimation is presented as well as one interpretative computer simulation for the stator current pattern. Practical results obtained with the device when applied to test and measure a real motor drive are presented and some conclusions are drawn. Main fields of application of the calculator include: monitoring systems, control units, research tools for induction motor drives, and test shops.