Energy Storage Systems for Electric Vehicles: Performance Comparison based on a Simple Equivalent Circuit and Experimental Tests

The decision to select the most suitable type of energy storage system for an electric vehicle is always difficult, since many conditionings must be taken into account. Sometimes, this study can be made by means of complex mathematical models which represent the behavior of a battery, ultracapacitor or some other devices. However, these models are usually too dependent on parameters that are not easily available, which usually results in nonrealistic results. Besides, the more accurate the model, the more specific it needs to be, which becomes an issue when comparing systems of different nature. This paper proposes a practical methodology to compare different energy storage technologies. This is done by means of a linear approach of an equivalent circuit based on laboratory tests. Via these tests, the internal resistance and the self-discharge rate are evaluated, making it possible to compare different energy storage systems regardless their technology. Rather simple testing equipment is sufficient to give a comparative idea of the differences between each system, concerning issues such as efficiency, heating and self-discharge, when operating under a certain scenario. The proposed methodology is applied to four energy storage systems of different nature for the sake of illustration.

New method for analytical photovoltaic parameters identification: meeting manufacturer’s datasheet for different ambient conditions

At present, photovoltaic energy is one of the most important renewable energy sources. The demand for solar panels has been continuously growing, both in the industrial electric sector and in the private sector. In both cases the analysis of the solar panel efficiency is extremely important in order to maximize the energy production. In order to have a more efficient photovoltaic system, the most accurate understanding of this system is required. However, in most of the cases the only information available in this matter is reduced, the experimental testing of the photovoltaic device being out of consideration, normally for budget reasons. Several methods, normally based on an equivalent circuit model, have been developed to extract the I-V curve of a photovoltaic device from the small amount of data provided by the manufacturer. The aim of this paper is to present a fast, easy, and accurate analytical method, developed to calculate the equivalent circuit parameters of a solar panel from the only data that manufacturers usually provide. The calculated circuit accurately reproduces the solar panel behavior, that is, the I-V curve. This fact being extremely important for practical reasons such as selecting the best solar panel in the market for a particular purpose, or maximize the energy extraction with MPPT (Maximum Peak Power Tracking) methods.

A method to obtain the thermal parameters and the photothermal transduction efficiency in an optical hyperthermia device based on laser irradiation of gold nanoparticles

Optical hyperthermia systems based on the laser irradiation of gold nanorods seem to be a promising tool in the development of therapies against cancer. After a proof of concept in which the authors demonstrated the efficiency of this kind of systems, a modeling process based on an equivalent thermal-electric circuit has been carried out to determine the thermal parameters of the system and an energy balance obtained from the time-dependent heating and cooling temperature curves of the irradiated samples in order to obtain the photothermal transduction efficiency. By knowing this parameter, it is possible to increase the effectiveness of the treatments, thanks to the possibility of predicting the response of the device depending on the working configuration. As an example, the thermal behavior of two different kinds of nanoparticles is compared. The results show that, under identical conditions, the use of PEGylated gold nanorods allows for a more efficient heating compared with bare nanorods, and therefore, it results in a more effective therapy.

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

Abstract Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neuroscientists according to a pragmatic classification scheme composed of five categorical variables, namely, of the interneuron type and four features of axonal morphology. From this data set we now learned a model which can classify interneurons, on the basis of their axonal morphometric parameters, into these five descriptive variables simultaneously. Because of differences in opinion among the neuroscientists, especially regarding neuronal type, for many interneurons we lacked a unique, agreed-upon classification, which we could use to guide model learning. Instead, we guided model learning with a probability distribution over the neuronal type and the axonal features, obtained, for each interneuron, from the neuroscientists’ classification choices. We conveniently encoded such probability distributions with Bayesian networks, calling them label Bayesian networks (LBNs), and developed a method to predict them. This method predicts an LBN by forming a probabilistic consensus among the LBNs of the interneurons most similar to the one being classified. We used 18 axonal morphometric parameters as predictor variables, 13 of which we introduce in this paper as quantitative counterparts to the categorical axonal features. We were able to accurately predict interneuronal LBNs. Furthermore, when extracting crisp (i.e., non-probabilistic) predictions from the predicted LBNs, our method outperformed related work on interneuron classification. Our results indicate that our method is adequate for multi-dimensional classification of interneurons with probabilistic labels. Moreover, the introduced morphometric parameters are good predictors of interneuron type and the four features of axonal morphology and thus may serve as objective counterparts to the subjective, categorical axonal features.

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neuroscientists according to a pragmatic classification scheme composed of five categorical variables, namely, of the interneuron type and four features of axonal morphology. From this data set we now learned a model which can classify interneurons, on the basis of their axonal morphometric parameters, into these five descriptive variables simultaneously. Because of differences in opinion among the neuroscientists, especially regarding neuronal type, for many interneurons we lacked a unique, agreed-upon classification, which we could use to guide model learning. Instead, we guided model learning with a probability distribution over the neuronal type and the axonal features, obtained, for each interneuron, from the neuroscientists’ classification choices. We conveniently encoded such probability distributions with Bayesian networks, calling them label Bayesian networks (LBNs), and developed a method to predict them. This method predicts an LBN by forming a probabilistic consensus among the LBNs of the interneurons most similar to the one being classified. We used 18 axonal morphometric parameters as predictor variables, 13 of which we introduce in this paper as quantitative counterparts to the categorical axonal features. We were able to accurately predict interneuronal LBNs. Furthermore, when extracting crisp (i.e., non-probabilistic) predictions from the predicted LBNs, our method outperformed related work on interneuron classification. Our results indicate that our method is adequate for multi-dimensional classification of interneurons with probabilistic labels. Moreover, the introduced morphometric parameters are good predictors of interneuron type and the four features of axonal morphology and thus may serve as objective counterparts to the subjective, categorical axonal features.

Techno-economics of ICT infrastructures: The impact of (user, network) requirements

- Towards a methodology for prospective deployment of ICT infrastructures - (Technologies & Architectures) - Key deployment parameters (network requirements) - User requirements - A proposal for Cost‐Benefit Analysis

Environmental Wireless Sensor Network Deployment in Food Industry: from Theory to Practice

The difficulty behind Wireless Sensor Network deployments in industrial environments not only resides in the number of nodes or the communication protocols but also in the real location of the sensor nodes and the parameters to be monitored. Sensor soiling, high humidity and unreachable locations, among others, make real deployments a very difficult task to plan. Even though it is possible to find myriad approaches for floor planners and deployment tools in the state of the art, most of these problems are very difficult to model and foresee before actually deploying the network in the final scenario. This work shows two real deployments in food factories and how their problems are found and overcome.

Atmospheric parameters, spectral indexes and their relation to CPV spectral performance

Air Mass and atmosphere components (basically aerosol (AOD) and precipitable water (PW)) define the absorption of the sunlight that arrive to Earth. Radiative models such as SMARTS or MODTRAN use these parameters to generate an equivalent spectrum. However, complex and expensive instruments (as AERONET network devices) are needed to obtain AOD and PW. On the other hand, the use of isotype cells is a convenient way to characterize spectrally a place for CPV considering that they provide the photocurrent of the different internal subcells individually. Crossing data from AERONET station and a Tri-band Spectroheliometer, a model that correlates Spectral Mismatch Ratios and atmospheric parameters is proposed. Considering the amount of stations of AERONET network, this model may be used to estimate the spectral influence on energy performance of CPV systems close to all the stations worldwide.

Sistema autónomo para carga de baterías mediante una instalación fotovoltaica con aplicación directa al vehículo eléctrico y usos

La situación energética actual es insostenible y como consecuencia se plantea un escenario próximo orientado a conseguir un futuro energético sostenible que permita el desarrollo económico y el bienestar social. La situación ambiental actual está afectada directamente por la combustión de combustibles fósiles que en 2013 constituyeron el 81% de la energía primaria utilizada por el ser humano y son la principal fuente antropogénica de gases de efecto invernadero. Los informes del IPCC1, ponen de manifiesto que el cambio climático se ha consolidado durante los últimos años y en la conferencia de la ONU sobre cambio climático de París que se celebrará a finales de 2015, se pretende que los gobiernos suscriban un acuerdo universal para limitar las emisiones de gases de efecto invernadero y evitar que el incremento de la temperatura media global supere los 2°C. Por otra parte, en el interior de las ciudades es especialmente preocupante, por su efecto directo sobre la salud humana, el impacto ambiental producido por las emisiones de NOx que generan el transporte de personas y mercancías. El sector del transporte fue responsable en 2012 del 27,9% del consumo final de energía. Una vez expuesto el escenario energético y ambiental actual, en esta tesis, se analiza la eficiencia de un sistema autónomo fotovoltaico para la carga de baterías de vehículos eléctricos y el uso del mismo con otras cargas, con el objetivo de aprovechar al máximo la energía eléctrica generada y contribuir a la utilización de energía limpia que no produzca impacto ambiental. Como primer paso para el desarrollo de la tesis se hizo un estudio de trabajos previos comenzando por las primeras aplicaciones de la energía fotovoltaica en los vehículos solares para después pasar a trabajos más recientes enfocados al suministro de energía a los vehículos eléctricos. También se hizo este estudio sobre las metodologías de simulación en los sistemas fotovoltaicos y en el modelado de distintos componentes. Posteriormente se eligieron, dentro de la amplia oferta existente en el mercado, los componentes con características técnicas más adecuadas para este tipo de instalaciones y para las necesidades que se pretenden cubrir. A partir de los parámetros técnicos de los componentes elegidos para configurar la instalación autónoma y utilizando modelos contrastados de distintos componentes, se ha desarrollado un modelo de simulación en ordenador del sistema completo con el que se han hecho simulaciones con distintos modos de demanda de energía eléctrica, según los modos de carga disponibles en el vehículo eléctrico para corriente alterna monofásica de 230 V. También se han simulado distintos tamaños del generador fotovoltaico y del sistema de acumulación de energía eléctrica para poder determinar la influencia de estos parámetros en los balances energéticos del sistema. Utilizando recursos propios el doctorando ha realizado la instalación real de un sistema fotovoltaico que incluye sistema de acumulación e inversor en un edificio de su propiedad. Para la realización de la tesis, La Fundación de Fomento e Innovación Industrial (F2I2) ha facilitado al doctorando un dispositivo que permite realizar la alimentación del vehículo eléctrico en modo 2 (este modo emplea un adaptador que incorpora dispositivos de seguridad y se comunica con el vehículo permitiendo ajustar la velocidad de recarga) y que ha sido necesario para los trabajos desarrollados. Se ha utilizado la red eléctrica como sistema de apoyo de la instalación fotovoltaica para permitir la recarga en el modo 2 que requiere más potencia que la proporcionada por el sistema fotovoltaico instalado. Se han analizado mediante simulación distintos regímenes de carga que se han estudiado experimentalmente en la instalación realizada, a la vez que se han hecho ensayos que se han reproducido mediante simulación con los mismos valores de radiación solar y temperatura con objeto de contrastar el modelo. Se han comparado los resultados experimentales con los obtenidos mediante simulación con objeto de caracterizar el comportamiento del sistema de acumulación (energía eléctrica suministrada y tensión de salida en las baterías) y del generador fotovoltaico (energía eléctrica fotovoltaica suministrada). Por último, se ha realizado un estudio económico de la instalación autónoma fotovoltaica ejecutada y simulada. En el mismo se ha planteado la utilización de fondos propios (como realmente se ha llevado a cabo) y la utilización de financiación, para determinar dos posibles escenarios que pudieran ser de utilidad a un propietario de vehículo eléctrico. Se han comparado los resultados obtenidos en los dos escenarios propuestos del estudio económico del sistema, en cuanto a los parámetros de tiempo de retorno de la inversión, valor actual neto de la inversión y tasa interna de retorno de la misma. Las conclusiones técnicas obtenidas, permiten la utilización del sistema con los modos de carga ensayados y otro tipo de cargas que aprovechen la generación eléctrica del sistema. Las baterías ofrecen mejor comportamiento cuando el aporte fotovoltaico está presente, pero no considera adecuado la conexión de cargas elevadas a un sistema de acumulación de gel (plomo-acido) como el que se ha utilizado, debido al comportamiento de este tipo de baterías ante demandas de intensidad de corriente eléctrica elevadas. Por otra parte, el comportamiento de este tipo de baterías con valores de intensidad de corriente eléctrica inferiores a 10 A en ausencia de energía fotovoltaica, con el objetivo de utilizar la generación de energía eléctrica diaria acumulada en el sistema, sí resulta interesante y ofrece un buen comportamiento del sistema de acumulación. Las circunstancias actuales de mercado, que carece de sistemas de acumulación de litio con precios de compra interesantes, no han permitido poder experimentar este sistema de acumulación en la instalación autónoma fotovoltaica ejecutada, tampoco se ha podido obtener el favor de ningún fabricante para ello. Actualmente hay disponibles sistemas de acumulación en litio que no se comercializan en España y que serían adecuados para el sistema de acumulación de energía propuesto en este estudio, que deja abierta las puertas para futuros trabajos de investigación. Las conclusiones económicas obtenidas, rentabilizan el uso de una instalación autónoma fotovoltaica con consumo instantáneo, sin acumulación de energía eléctrica. El futuro de conexión a red por parte de estas instalaciones, cuando se regule, aportará un incentivo económico para rentabilizar con menos tiempo las instalaciones autónomas fotovoltaicas, esto también deja la puerta abierta a futuros trabajos de investigación. El sistema de acumulación de energía aporta el mayor peso económico de inversión en este tipo de instalaciones. La instalación estudiada aporta indicadores económicos que la hacen rentable, pero se necesitaría que los precios de acumulación de la energía en sistemas eficientes estén comprendidos entre 100-200 €/kWh para que el sistema propuesto en este trabajo resulte atractivo a un potencial propietario de un vehículo eléctrico. ABSTRACT The current energy situation is untenable; it poses a scenario next focused on reaching a sustainable energy future, to allow economic development and social welfare. The environmental current situation is affected directly by the combustion of fossil fuels that in 2013 constituted 81 % of the primary energy used by the human being and they are the principal source human of greenhouse gases. The reports of the IPCC2, they reveal that the climate change has consolidated during the last years and in the conference of the UNO on climate change of Paris that will be celebrated at the end of 2015, there is claimed that the governments sign a universal agreement to limit the emission of greenhouse gases and to prevent that the increase of the global average temperature overcomes them 2°C. On the other hand, inside the cities it is specially worrying, for his direct effect on the human health, the environmental impact produced by the NOx emissions that generate the persons' transport and goods. The sector of the transport was responsible in 2012 of 27,9 % of the final consumption of energy. Once exposed the scenario and present environmental energy, in this thesis, it has analyzed the efficiency of an autonomous photovoltaic system for charging electric vehicles, and the use of the same with other workloads, with the objective to maximize the electrical energy generated and contribute to the use of clean energy that does not produce environmental impact. Since the first step for the development of the thesis did to itself a study of previous works beginning for the first applications of the photovoltaic power in the solar vehicles later to go on to more recent works focused on the power supply to the electrical vehicles. Also this study was done on the methodologies of simulation in the photovoltaic systems and in the shaped one of different components. Later they were chosen, inside the wide existing offer on the market, the components with technical characteristics more adapted for this type of facilities and for the needs that try to cover. From the technical parameters of the components chosen to form the autonomous installation and using models confirmed of different components, a model of simulation has developed in computer of the complete system with which simulations have been done by different manners of demand of electric power, according to the available manners of load in the electrical vehicle for single-phase alternating current of 230 V. Also there have been simulated different sizes of the photovoltaic generator and of the system of accumulation of electric power to be able to determine the influence of these parameters in the energy balances of the system. Using own resources the PhD student has realized a real installation of a photovoltaic system that includes system of accumulation and investing in a building of his property. For the accomplishment of the thesis, The Foundation of Promotion and Industrial Innovation (F2I2) it has facilitated to the PhD student a device that allows to realize the supply of the electrical vehicle in way 2 (this way uses an adapter that incorporates safety devices and communicates with the vehicle allowing to fit the speed of recharges) and that has been necessary for the developed works. The electrical network has been in use as system of support of the photovoltaic installation for allowing it her recharges in the way 2 that more power needs that provided by the photovoltaic installed system. There have been analyzed by means of simulation different rate of load that have been studied experimentally in the realized installation, simultaneously that have done to themselves tests that have reproduced by means of simulation with the same values of solar radiation and temperature in order the model contrasted. The experimental results have been compared by the obtained ones by means of simulation in order to characterize the behavior of the system of accumulation (supplied electric power and tension of exit in the batteries) and of the photovoltaic generator (photovoltaic supplied electric power). Finally, there has been realized an economic study of the autonomous photovoltaic executed and simulated installation. In the same one there has appeared the utilization of own funds (since really it has been carried out) and the utilization of financing, to determine two possible scenes that could be of usefulness to an owner of electrical vehicle. There have been compared the results obtained in both scenes proposed of the economic study of the system, as for the parameters of time of return of the investment, current clear value of the investment and rate hospitalizes of return of the same one. The technical obtained conclusions, they make the utilization of the system viable with the manners of load tested and another type of loads of that they take advantage the electrical generation of the system. The batteries offer better behavior when the photovoltaic contribution is present, but he does not consider to be suitable the connection of loads risen up to a system of accumulation of gel (lead - acid) as the one that has been in use, due to the behavior of this type of batteries before demands of intensity of electrical current raised. On the other hand, the behavior of this type of batteries with low values of intensity of electrical current to 10 To in absence of photovoltaic power, with the aim to use the generation of daily electric power accumulated in the system, yes turns out to be interesting and offers a good behavior of the system of accumulation. The current circumstances of market, which lacks systems of accumulation of lithium with interesting purchase prices, have not allowed to be able to experience this system of accumulation in the autonomous photovoltaic executed installation, neither one could have obtained the favor of any manufacturer for it. Nowadays there are available systems of accumulation in lithium that is not commercialized in Spain and that they would be adapted for the system of accumulation of energy proposed in this study, which makes the doors opened for future works of investigation. The economic obtained conclusions; they make more profitable the use of an autonomous photovoltaic installation with instantaneous consumption, without accumulation of electric power. The future of connection to network on the part of these facilities, when it is regulated, will contribute an economic incentive to make profitable with less time the autonomous photovoltaic facilities, this also leaves the door opened for future works of investigation. The system of accumulation of energy contributes the major economic weight of investment in this type of facilities. The studied installation contributes economic indicators that make her profitable, but it would be necessary that the prices of accumulation of the energy in efficient systems are understood between 100-200 € in order that the system proposed in this work turns out to be attractive to a proprietary potential of an electrical vehicle.

Co-simulation Methodologies for Hybrid and Electric Vehicle Dynamics

In recent decades, full electric and hybrid electric vehicles have emerged as an alternative to conventional cars due to a range of factors, including environmental and economic aspects. These vehicles are the result of considerable efforts to seek ways of reducing the use of fossil fuel for vehicle propulsion. Sophisticated technologies such as hybrid and electric powertrains require careful study and optimization. Mathematical models play a key role at this point. Currently, many advanced mathematical analysis tools, as well as computer applications have been built for vehicle simulation purposes. Given the great interest of hybrid and electric powertrains, along with the increasing importance of reliable computer-based models, the author decided to integrate both aspects in the research purpose of this work. Furthermore, this is one of the first final degree projects held at the ETSII (Higher Technical School of Industrial Engineers) that covers the study of hybrid and electric propulsion systems. The present project is based on MBS3D 2.0, a specialized software for the dynamic simulation of multibody systems developed at the UPM Institute of Automobile Research (INSIA). Automobiles are a clear example of complex multibody systems, which are present in nearly every field of engineering. The work presented here benefits from the availability of MBS3D software. This program has proven to be a very efficient tool, with a highly developed underlying mathematical formulation. On this basis, the focus of this project is the extension of MBS3D features in order to be able to perform dynamic simulations of hybrid and electric vehicle models. This requires the joint simulation of the mechanical model of the vehicle, together with the model of the hybrid or electric powertrain. These sub-models belong to completely different physical domains. In fact the powertrain consists of energy storage systems, electrical machines and power electronics, connected to purely mechanical components (wheels, suspension, transmission, clutch…). The challenge today is to create a global vehicle model that is valid for computer simulation. Therefore, the main goal of this project is to apply co-simulation methodologies to a comprehensive model of an electric vehicle, where sub-models from different areas of engineering are coupled. The created electric vehicle (EV) model consists of a separately excited DC electric motor, a Li-ion battery pack, a DC/DC chopper converter and a multibody vehicle model. Co-simulation techniques allow car designers to simulate complex vehicle architectures and behaviors, which are usually difficult to implement in a real environment due to safety and/or economic reasons. In addition, multi-domain computational models help to detect the effects of different driving patterns and parameters and improve the models in a fast and effective way. Automotive designers can greatly benefit from a multidisciplinary approach of new hybrid and electric vehicles. In this case, the global electric vehicle model includes an electrical subsystem and a mechanical subsystem. The electrical subsystem consists of three basic components: electric motor, battery pack and power converter. A modular representation is used for building the dynamic model of the vehicle drivetrain. This means that every component of the drivetrain (submodule) is modeled separately and has its own general dynamic model, with clearly defined inputs and outputs. Then, all the particular submodules are assembled according to the drivetrain configuration and, in this way, the power flow across the components is completely determined. Dynamic models of electrical components are often based on equivalent circuits, where Kirchhoff’s voltage and current laws are applied to draw the algebraic and differential equations. Here, Randles circuit is used for dynamic modeling of the battery and the electric motor is modeled through the analysis of the equivalent circuit of a separately excited DC motor, where the power converter is included. The mechanical subsystem is defined by MBS3D equations. These equations consider the position, velocity and acceleration of all the bodies comprising the vehicle multibody system. MBS3D 2.0 is entirely written in MATLAB and the structure of the program has been thoroughly studied and understood by the author. MBS3D software is adapted according to the requirements of the applied co-simulation method. Some of the core functions are modified, such as integrator and graphics, and several auxiliary functions are added in order to compute the mathematical model of the electrical components. By coupling and co-simulating both subsystems, it is possible to evaluate the dynamic interaction among all the components of the drivetrain. ‘Tight-coupling’ method is used to cosimulate the sub-models. This approach integrates all subsystems simultaneously and the results of the integration are exchanged by function-call. This means that the integration is done jointly for the mechanical and the electrical subsystem, under a single integrator and then, the speed of integration is determined by the slower subsystem. Simulations are then used to show the performance of the developed EV model. However, this project focuses more on the validation of the computational and mathematical tool for electric and hybrid vehicle simulation. For this purpose, a detailed study and comparison of different integrators within the MATLAB environment is done. Consequently, the main efforts are directed towards the implementation of co-simulation techniques in MBS3D software. In this regard, it is not intended to create an extremely precise EV model in terms of real vehicle performance, although an acceptable level of accuracy is achieved. The gap between the EV model and the real system is filled, in a way, by introducing the gas and brake pedals input, which reflects the actual driver behavior. This input is included directly in the differential equations of the model, and determines the amount of current provided to the electric motor. For a separately excited DC motor, the rotor current is proportional to the traction torque delivered to the car wheels. Therefore, as it occurs in the case of real vehicle models, the propulsion torque in the mathematical model is controlled through acceleration and brake pedal commands. The designed transmission system also includes a reduction gear that adapts the torque coming for the motor drive and transfers it. The main contribution of this project is, therefore, the implementation of a new calculation path for the wheel torques, based on performance characteristics and outputs of the electric powertrain model. Originally, the wheel traction and braking torques were input to MBS3D through a vector directly computed by the user in a MATLAB script. Now, they are calculated as a function of the motor current which, in turn, depends on the current provided by the battery pack across the DC/DC chopper converter. The motor and battery currents and voltages are the solutions of the electrical ODE (Ordinary Differential Equation) system coupled to the multibody system. Simultaneously, the outputs of MBS3D model are the position, velocity and acceleration of the vehicle at all times. The motor shaft speed is computed from the output vehicle speed considering the wheel radius, the gear reduction ratio and the transmission efficiency. This motor shaft speed, somehow available from MBS3D model, is then introduced in the differential equations corresponding to the electrical subsystem. In this way, MBS3D and the electrical powertrain model are interconnected and both subsystems exchange values resulting as expected with tight-coupling approach.When programming mathematical models of complex systems, code optimization is a key step in the process. A way to improve the overall performance of the integration, making use of C/C++ as an alternative programming language, is described and implemented. Although this entails a higher computational burden, it leads to important advantages regarding cosimulation speed and stability. In order to do this, it is necessary to integrate MATLAB with another integrated development environment (IDE), where C/C++ code can be generated and executed. In this project, C/C++ files are programmed in Microsoft Visual Studio and the interface between both IDEs is created by building C/C++ MEX file functions. These programs contain functions or subroutines that can be dynamically linked and executed from MATLAB. This process achieves reductions in simulation time up to two orders of magnitude. The tests performed with different integrators, also reveal the stiff character of the differential equations corresponding to the electrical subsystem, and allow the improvement of the cosimulation process. When varying the parameters of the integration and/or the initial conditions of the problem, the solutions of the system of equations show better dynamic response and stability, depending on the integrator used. Several integrators, with variable and non-variable step-size, and for stiff and non-stiff problems are applied to the coupled ODE system. Then, the results are analyzed, compared and discussed. From all the above, the project can be divided into four main parts: 1. Creation of the equation-based electric vehicle model; 2. Programming, simulation and adjustment of the electric vehicle model; 3. Application of co-simulation methodologies to MBS3D and the electric powertrain subsystem; and 4. Code optimization and study of different integrators. Additionally, in order to deeply understand the context of the project, the first chapters include an introduction to basic vehicle dynamics, current classification of hybrid and electric vehicles and an explanation of the involved technologies such as brake energy regeneration, electric and non-electric propulsion systems for EVs and HEVs (hybrid electric vehicles) and their control strategies. Later, the problem of dynamic modeling of hybrid and electric vehicles is discussed. The integrated development environment and the simulation tool are also briefly described. The core chapters include an explanation of the major co-simulation methodologies and how they have been programmed and applied to the electric powertrain model together with the multibody system dynamic model. Finally, the last chapters summarize the main results and conclusions of the project and propose further research topics. In conclusion, co-simulation methodologies are applicable within the integrated development environments MATLAB and Visual Studio, and the simulation tool MBS3D 2.0, where equation-based models of multidisciplinary subsystems, consisting of mechanical and electrical components, are coupled and integrated in a very efficient way.

Quality of experience of adaptive video streaming: investigation in service parameters and subjective quality assessment methodology

The usage of HTTP adaptive streaming (HAS) has become widely spread in multimedia services. Because it allows the service providers to improve the network resource utilization and user׳s Quality of Experience (QoE). Using this technology, the video playback interruption is reduced since the network and server status in addition to capability of user device, all are taken into account by HAS client to adapt the quality to the current condition. Adaptation can be done using different strategies. In order to provide optimal QoE, the perceptual impact of adaptation strategies from point of view of the user should be studied. However, the time-varying video quality due to the adaptation which usually takes place in a long interval introduces a new type of impairment making the subjective evaluation of adaptive streaming system challenging. The contribution of this paper is two-fold: first, it investigates the testing methodology to evaluate HAS QoE by comparing the subjective experimental outcomes obtained from ACR standardized method and a semi-continuous method developed to evaluate the long sequences. In addition, influence of using audiovisual stimuli to evaluate the video-related impairment is inquired. Second, impact of some of the adaptation technical factors including the quality switching amplitude and chunk size in combination with high range of commercial content type is investigated. The results of this study provide a good insight toward achieving appropriate testing method to evaluate HAS QoE, in addition to designing switching strategies with optimal visual quality.