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Operational boundaries calculation of Permanent Magnet assisted Synchronous Reluctance Motor is proposed. Furthermore the analysis of the thermal effects and iron losses on the motor operational boundaries is realized. The different motor analysis is carried out without finite element analysis, so the time required evaluating the envelope curve are reduced. Hence, operational boundaries can be introduced...
this paper presents the comparative analysis of power converters topologies with impedance source. The analysis consist in the comparison between two power converter topologies: the first topology is a current source inverter (CSI) that incorporates SiC devices with Quasi-Z source impedance; the second topology is CSI power converter built using SiC devices that incorporates Trans-Z source impedance...
This paper proposes a methodology for optimal design of Permanent Magnet assisted Synchronous Reluctance Motor. The magnetic model is explained because the particularities associated to high magnetic saturation regions this motor has, which lead to difficulties in inductance calculation. Hence, the finite element analysis is currently used to design and optimize Permanent Magnet assisted Synchronous...
This paper describes a study and analysis of power loss in Z current source power inverter with elements of Silicon Carbide (SiC), using a PWM technique of modulation at high frequencies of switching (100 KHz). This proposal allows to analyze the behavior of such topologies, the loss of power that are generated using a PWM technique to high frequency and improve the performance and size of these systems...
An optimal design for a rotor of SynRM is proposed on this paper. The inductances of the machine computed in dq-axes allow determining machine performance and the motor behavior. High magnetic saturation on this kind of motor increases the difficulty of inductance calculation. Hence, the finite element analysis is currently used to design and optimize SynRM, from the first instance. This method usually...
This article presents the analysis of two topologies of power converters. Voltage Source Inverter (VSI) and Current Source Inverter (CSI) proposals for traction system applications, these topologies are implemented with silicon carbide devices. The use of SiC semiconductors allow working at high switching frequency (100KHz), increase the working temperature range and and decreasing power losses during...
A novel motor design methodology and optimization is proposed, which is applied to a SRM. It greatly reduces the finite element analysis use. A multi physics study is realized in order to couple the thermal, magnetic and electric motor analysis. Then, the information obtained with this study allows creating different behaviors maps in order to evaluate the motor in all operating area. With the joule...
This paper proposes a predictive real time energy management strategy for plug-in-hybrid electric vehicles (PHEV) based on an adaptation of Dynamic Programming (DP). The computational load of predictive real time strategies increases with the trip length. Therefore, for online computation by the onboard computer, they strongly depend on an efficient implementation. To reduce computation cost, current...
The objective of this paper is to give recommendations for the component sizing of a Parallel Plug-in Hybrid Electric Vehicle (PHEV) studying the influence of the Electric Motor (EM) size, Final Drive ratio (FD), the Battery Capacity (BAT) and the Internal Combustion Engine (ICE). A multiple options for the size of the components are in the market and conflicting on the vehicle efficiency and functionality...
A new open switch fault detection method based on normalized current analysis is proposed for application in multiphase fault tolerant PMSM drives. Performance characteristics of proposed method are single diagnostic variable, ability to detect open phase fault without using auxiliary variable, ability to detect multiple switch fault, simple diagnostic variable, generality, and robustness in case...
In this paper, a new fault detection method based on signal normalization using a simple trigonometric function is presented and applied to a five phase converter for fault tolerant application under nonsinusoidal unbalanced current waveforms. Generality, simplicity, ability to localize faulty switch, multiple switch fault detection and robustness are achieved using this approach. Once theory is explained,...
A new mathematical model of a renewable generator, with a DC-AC interface, based on the concept of electrostatic machine is presented. This new model has a direct relationship between the DC and AC side. Moreover, it can be used for stability studies, taking into account the dynamics of the DC link and to find saturations and limits on the control signals.
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the...
At present, the intelligent energy management systems (IEMS) are used to maximiz the relation between productivity and cost using a variety of energy sources. In this work, we present a method of short-time load forecasting, using the ANFIS model and a component of preprocessing based in the discrete wavelet transform; the models was implemented in the user-side, analyzing real data of a factory in...
It is a fact that the short-term load forecasting (STLF) in the user side is growing interest. Consequently, intelligent energy management systems (iEMSs) are including this capability in order to take autonomous decisions. In this context, this paper presents a new STLF scheme based on Adaptative Networks Fuzzy Inference Systems (ANFIS). This ANFIS has an exponential output membership functions (e-ANFIS)...
Demagnetization faults are troublesome in permanent magnet synchronous motors since they may greatly reduce their performance and efficiency. Additionally, the temperature of the magnets deeply influences the remanent flux density. Hence, the temperature may have a demagnetization effect on the magnets. This work studies the behavior of a surface-mounted permanent magnet synchronous motor running...
For a massive introduction of electric vehicles to the market is required to have a reliable infrastructure. The Infrastructure needs includes enough charging stations around cities and electric parking lots. Currently the grid is able to support the electric consumption and hardly support recharging the fleet of electric vehicles. Likewise, the public utility has to keep high power quality without...
The fault diagnosis field is in a continuous movement towards the generation of more reliable and powerful machine health monitoring schemes. Improved data processing methodologies are required to reach high diagnosis demands. For that reason, a contribution in motor fault classification methodology is presented. Different physical magnitudes such as phase currents, voltages and vibrations, are acquired...
In this paper an evolutive algorithm is used to train an adaptative-network-based fuzzy inference system (ANFIS), particularly a genetic algorithm (GA). The GA is able to train the antecedent and consequent parameters of an ANFIS, which is used for energy load profile forecasting in an automated factory. This load forecasting is useful to support an intelligent energy management system (IEMS), which...
The Active Control is presented as an effective method for compensate the amplitude distortions in D-Class Half-Bridge amplifiers. Distortions due to DC-Bus Pumping that appear such as an attenuation static gain of the amplifier are reduced by the new control proposed. This paper presents three different methods to estimate the perturbation. To analyze and compare these methods, four effectiveness...
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