Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3543
2018-03-20T19:22:30ZVideo streaming in uplink mode using WiMAX system - Experimental results
http://hdl.handle.net/2117/107761
Video streaming in uplink mode using WiMAX system - Experimental results
Ruiz, German; Pubill, David; Bader, F.; Ortega Redondo, Juan Antonio
The paper explores the technical limits and possibilities to transmit live audiovisual contents in the uplink mode by means of IP networks based on WiMAX broadband system using a professional camera. A previous evaluation of the WiMAX link performances in real urban environments is tackled, and then, obtained results used to implement an Automatic Video Coding Rate Adjustment (AVCRA) algorithm that adaptively adjusts the video codec parameters to the experienced wireless channel capacity. The experimental network also contains a designed antenna small enough to be incorporated in the camera. Special considerations regarding the radiation diagram have been taken into account for not affecting the head of the proper cameraman. Obtained experimental WiMAX throughput in function of the signal to noise ratio, and the Peak signal to noise ratio (PSNR) levels demonstrated the feasibility of live video links over WiMAX networks in urban environment.
2017-09-19T10:12:15ZRuiz, GermanPubill, DavidBader, F.Ortega Redondo, Juan AntonioThe paper explores the technical limits and possibilities to transmit live audiovisual contents in the uplink mode by means of IP networks based on WiMAX broadband system using a professional camera. A previous evaluation of the WiMAX link performances in real urban environments is tackled, and then, obtained results used to implement an Automatic Video Coding Rate Adjustment (AVCRA) algorithm that adaptively adjusts the video codec parameters to the experienced wireless channel capacity. The experimental network also contains a designed antenna small enough to be incorporated in the camera. Special considerations regarding the radiation diagram have been taken into account for not affecting the head of the proper cameraman. Obtained experimental WiMAX throughput in function of the signal to noise ratio, and the Peak signal to noise ratio (PSNR) levels demonstrated the feasibility of live video links over WiMAX networks in urban environment.Multiobjective optimization of a Parallel Plug-in Hybrid Electric Vehicle considering the fuel consumption, acceleration and elasticity on the vehicle performance
http://hdl.handle.net/2117/107753
Multiobjective optimization of a Parallel Plug-in Hybrid Electric Vehicle considering the fuel consumption, acceleration and elasticity on the vehicle performance
Torres, Oriol; Bader, Benjamin; Romeral Martínez, José Luis; Lux, G.; Ortega Redondo, Juan Antonio
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. Their selection is very important in order to achieve reduced fuel consumption and assure the vehicle performance with the minimum cost. This study explains a proposal methodology to solve this problem, firstly doing a problem model approach, then reducing his complexity doing a parameterization and finally analyzing the optimal variables for the multiple objectives. In this publication the component sizing is analysed using the Response Surface Methodology (RSM) of the Design of Experiments (DoE) technique. The parallel HEV has been parameterized and simulated to obtain the fuel consumption over NEDC driving cycle using Modelica/Dymola [2]. This tool is very useful for modeling and simulating complex integrated systems, for the automotive, aerospace, robotics and other applications. This paper contains an introduction, a brief explanation of the Parallel HEV modeled, a description of the all electric range operating strategy based on a rules, an explanation of the RSM method, the simulation results, and finally the conclusions of this study.
2017-09-19T07:44:17ZTorres, OriolBader, BenjaminRomeral Martínez, José LuisLux, G.Ortega Redondo, Juan AntonioThe 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. Their selection is very important in order to achieve reduced fuel consumption and assure the vehicle performance with the minimum cost. This study explains a proposal methodology to solve this problem, firstly doing a problem model approach, then reducing his complexity doing a parameterization and finally analyzing the optimal variables for the multiple objectives. In this publication the component sizing is analysed using the Response Surface Methodology (RSM) of the Design of Experiments (DoE) technique. The parallel HEV has been parameterized and simulated to obtain the fuel consumption over NEDC driving cycle using Modelica/Dymola [2]. This tool is very useful for modeling and simulating complex integrated systems, for the automotive, aerospace, robotics and other applications. This paper contains an introduction, a brief explanation of the Parallel HEV modeled, a description of the all electric range operating strategy based on a rules, an explanation of the RSM method, the simulation results, and finally the conclusions of this study.Predictive real-time energy management strategy for PHEV using lookup-table-based Dynamic Programming
http://hdl.handle.net/2117/107752
Predictive real-time energy management strategy for PHEV using lookup-table-based Dynamic Programming
Bader, Benjamin; Torres, Oriol; Ortega Redondo, Juan Antonio; Lux, G.; Romeral Martínez, José Luis
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 approaches for predictive strategies rely on strongly simplified intern vehicle models. The here proposed energy management strategy (EMS) uses a different approach, which is based on the use of precalculated lookup tables for the different operating points of the powertrain. This precalculation make the use of more exact vehicle models possible by using more detailed loss models of the powertrain components. The proposed EMS separates the optimization process, i.e. the calculation of the power distribution to engine and electric motor and gear in two calculation steps. The first step, which is computationally more intensive, has only to be executed once for a certain vehicle configuration. The obtained results are saved in lookup tables to avoid a later recomputation. In the second step, which is done online in the vehicle, a shortest path search algorithm is employed which is based on the predicted vehicle speed and rode slope of the trip. Techniques are integrated which decrease the rounding error caused by the use of lookup tables. The resulting difference of the consumed fuel mass between the lookup table based DP and standard DP is smaller than
0.03% by an approximately 50 times faster calculation. Using the proposed algorithm, even complex intern vehicle models do not affect the online computation cost and can be implemented by real time strategies.
2017-09-19T07:19:17ZBader, BenjaminTorres, OriolOrtega Redondo, Juan AntonioLux, G.Romeral Martínez, José LuisThis 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 approaches for predictive strategies rely on strongly simplified intern vehicle models. The here proposed energy management strategy (EMS) uses a different approach, which is based on the use of precalculated lookup tables for the different operating points of the powertrain. This precalculation make the use of more exact vehicle models possible by using more detailed loss models of the powertrain components. The proposed EMS separates the optimization process, i.e. the calculation of the power distribution to engine and electric motor and gear in two calculation steps. The first step, which is computationally more intensive, has only to be executed once for a certain vehicle configuration. The obtained results are saved in lookup tables to avoid a later recomputation. In the second step, which is done online in the vehicle, a shortest path search algorithm is employed which is based on the predicted vehicle speed and rode slope of the trip. Techniques are integrated which decrease the rounding error caused by the use of lookup tables. The resulting difference of the consumed fuel mass between the lookup table based DP and standard DP is smaller than
0.03% by an approximately 50 times faster calculation. Using the proposed algorithm, even complex intern vehicle models do not affect the online computation cost and can be implemented by real time strategies.A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
http://hdl.handle.net/2117/107536
A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
Kampouropoulos, Konstantinos; Andrade, Fabio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis
In this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.
2017-09-08T11:48:09ZKampouropoulos, KonstantinosAndrade, FabioCárdenas Araújo, Juan JoséRomeral Martínez, José LuisIn this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.An energy prediction method using adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
http://hdl.handle.net/2117/107522
An energy prediction method using adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Kampouropoulos, Konstantinos; Cárdenas Araújo, Juan José; Giacometto Torres, Francisco; Romeral Martínez, José Luis
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 plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.
2017-09-08T10:21:57ZKampouropoulos, KonstantinosCárdenas Araújo, Juan JoséGiacometto Torres, FranciscoRomeral Martínez, José LuisThis 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 plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.Characteristics of Induction Motor Drives with Torque Maximization in Field Weakening Region
http://hdl.handle.net/2117/107359
Characteristics of Induction Motor Drives with Torque Maximization in Field Weakening Region
Pryymak, Bogdan; Moreno Eguilaz, Juan Manuel
2017-09-04T11:18:22ZPryymak, BogdanMoreno Eguilaz, Juan ManuelStudy of large-signal stability of an inverter-based generator using a Lyapunov function
http://hdl.handle.net/2117/106733
Study of large-signal stability of an inverter-based generator using a Lyapunov function
Andrade, Fabio; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis; Vasquez Quintero, Juan Carlos; Guerrero, Josep M.
This document analyses the large-signal stability for an inverter-based generator such as photovoltaic and wind power sources. The objective of this study is to determine the stability region taking into account the electrical and control signal of the generator. The generator uses the concept of the electrostatic machine for the model of the generator. Finally, the applied procedure to find the Lyapunov's function is the Popov method, which not only permits to generate a valid function but also to determine the stability region of the system.
2017-07-24T09:50:39ZAndrade, FabioKampouropoulos, KonstantinosRomeral Martínez, José LuisVasquez Quintero, Juan CarlosGuerrero, Josep M.This document analyses the large-signal stability for an inverter-based generator such as photovoltaic and wind power sources. The objective of this study is to determine the stability region taking into account the electrical and control signal of the generator. The generator uses the concept of the electrostatic machine for the model of the generator. Finally, the applied procedure to find the Lyapunov's function is the Popov method, which not only permits to generate a valid function but also to determine the stability region of the system.Control method of impedance network in SiC power converters for HEV/EV
http://hdl.handle.net/2117/105076
Control method of impedance network in SiC power converters for HEV/EV
Fernández Palomeque, Efrén Esteban; Paredes, Alejandro; Sala, Vicent; Romeral Martínez, José Luis
Silicon carbide (SiC) devices provide significant performance improvements in many aspects, including lower
power dissipation, higher operating temperatures, and faster switching, compared to conventional Si devices. All these
features helped increase the interest in the applications of these devices for electric drive systems. The inclusion of an impedance network to elevate DC voltage would improve performance of an electric-traction system, because the topologies of impedances networks can eliminate the need of a DC-DC converter. However, it is important to know control methods that applicable to this type of topologies to systems that are more efficient. This paper presents the analysis of a control method in a power converter topology using SiC devices with an impedance network to elevate DC voltage for electric traction applications. The proposed analisys includes the implementation of a control method in Current Fed Quasi-Z topology, with 100 kHz switching frequency, and its analysis using the simulation of the control method, the power losses in SiC devices and the stress on passive components in the impedance network. Finally, the obtained results are compared with a conventional Current Fed Quasi-Z topology built with silicon devices at a low switching frequency (2 KHz).
2017-05-31T13:59:11ZFernández Palomeque, Efrén EstebanParedes, AlejandroSala, VicentRomeral Martínez, José LuisSilicon carbide (SiC) devices provide significant performance improvements in many aspects, including lower
power dissipation, higher operating temperatures, and faster switching, compared to conventional Si devices. All these
features helped increase the interest in the applications of these devices for electric drive systems. The inclusion of an impedance network to elevate DC voltage would improve performance of an electric-traction system, because the topologies of impedances networks can eliminate the need of a DC-DC converter. However, it is important to know control methods that applicable to this type of topologies to systems that are more efficient. This paper presents the analysis of a control method in a power converter topology using SiC devices with an impedance network to elevate DC voltage for electric traction applications. The proposed analisys includes the implementation of a control method in Current Fed Quasi-Z topology, with 100 kHz switching frequency, and its analysis using the simulation of the control method, the power losses in SiC devices and the stress on passive components in the impedance network. Finally, the obtained results are compared with a conventional Current Fed Quasi-Z topology built with silicon devices at a low switching frequency (2 KHz).Implementation of high frequency SVM in a digital system for CS-SiC inverter
http://hdl.handle.net/2117/105075
Implementation of high frequency SVM in a digital system for CS-SiC inverter
Fernández Palomeque, Efrén Esteban; Paredes, Alejandro; Sala, Vicent; Romeral Martínez, José Luis
The operation of current source inverters at high frequency allows to reduce the size of the input coil and output filters. These advantages allowed to obtain converters with better performance and to reduce the size and weight of the passives elements, decreasing the manufacturing costs and while keeping the current harmonic distortion low. For these reasons, it is necessary to implement a modulation technique that allows the converter to work at a higher frequency 100 KHz.
This article presents the design and implementation of a Space Vector Modulation (SVM) technique for high switching frequencies for a Current Source Inverter (CSI) topology implemented with SiC devices. The technique is programmed and implemented in a PIC 24FJ256GA406 microcontroller, for the activation and control of SiC devices in each leg of power converter.
2017-05-31T13:54:45ZFernández Palomeque, Efrén EstebanParedes, AlejandroSala, VicentRomeral Martínez, José LuisThe operation of current source inverters at high frequency allows to reduce the size of the input coil and output filters. These advantages allowed to obtain converters with better performance and to reduce the size and weight of the passives elements, decreasing the manufacturing costs and while keeping the current harmonic distortion low. For these reasons, it is necessary to implement a modulation technique that allows the converter to work at a higher frequency 100 KHz.
This article presents the design and implementation of a Space Vector Modulation (SVM) technique for high switching frequencies for a Current Source Inverter (CSI) topology implemented with SiC devices. The technique is programmed and implemented in a PIC 24FJ256GA406 microcontroller, for the activation and control of SiC devices in each leg of power converter.Optimization of modular wiring harnesses by means of regression models for temperature prediction of wire bundles
http://hdl.handle.net/2117/102597
Optimization of modular wiring harnesses by means of regression models for temperature prediction of wire bundles
Rius Rueda, Armand; García Espinosa, Antonio; Díaz Millán, Manuel Alberto
Automotive wiring harnesses have become heavier and more complex due to their increasing number of electrical components. It is now desired to reduce their mass of copper. For this purpose, experimentation can be partially replaced by simulation, but it is still impossible to exhaustively simulate all of the combinations of modular wiring harness. This proposed approach consists of carrying out simulations using the FEM method and using their results to create regression models. Polynomial formulae can give the same information as simulations within a clearly reduced time and satisfying accuracy. An optimization algorithm introduced in this study will use them to assign new cable cross-sections of harnesses considering their currents and the ambient temperature.
2017-03-16T14:32:20ZRius Rueda, ArmandGarcía Espinosa, AntonioDíaz Millán, Manuel AlbertoAutomotive wiring harnesses have become heavier and more complex due to their increasing number of electrical components. It is now desired to reduce their mass of copper. For this purpose, experimentation can be partially replaced by simulation, but it is still impossible to exhaustively simulate all of the combinations of modular wiring harness. This proposed approach consists of carrying out simulations using the FEM method and using their results to create regression models. Polynomial formulae can give the same information as simulations within a clearly reduced time and satisfying accuracy. An optimization algorithm introduced in this study will use them to assign new cable cross-sections of harnesses considering their currents and the ambient temperature.