L'augmentation de la densité des transistors dans les circuits électroniques conduit à une augmentation de la consommation d'énergie induisant des phénomènes thermiques plus complexes à maitriser. Dans le cas de systèmes embarqués en environnement où la température ambiante varie dans des proportions importantes (automobile par exemple), ces phénomènes peuvent conduire à des problèmes de fiabilité. Parmi les mécanismes de défaillance observés, on peut citer les cycles thermiques (CT) qui induisent des déformations dans les couches métalliques de la puce pouvant conduire à des fissurations. L’objectif de la thèse est de proposer pour des architectures de type multiprocesseur sur puce une technique de réduction des CT subis par les processeurs, et ce en respectant les contraintes temps réel des applications. L’exemple du circuit MPC5517 de Freescale a été considéré. Dans un premier temps un modèle thermique de ce circuit a été élaboré à partir de mesures par une caméra thermique sur ce circuit décapsulé. Un environnement de simulation a été mis en oeuvre pour permettre d’effectuer simultanément des analyses thermiques et d’ordonnancement de tâches et mettre en évidence l’influence de la température sur la puissance dissipée. Une heuristique globale pour réduire à la fois les CT et la température maximale des processeurs a été étudiée. Elle tient compte des variations de la température ambiante et se base sur les techniques DVFS et DPM. Les résultats de simulation avec les algorithmes d’ordonnancement globaux RM, EDF et EDZL et avec différentes charges processeur (sur un circuit type MPC5517 et un UltraSparc T1) illustrent l’efficacité de la technique proposée. / Increasing the density of transistors in electronic circuits leads to an increase in energy consumption resulting in more complex thermal phenomena to master. For systems embedded in environments where the ambient temperature can vary in large range (e.g. automotive), these thermal effects can induce reliability problems. Among classical failure mechanisms thermal cycles (CTs) produce deformations in materials and play a major role in the cracking of the metal layers in the chip. The aim of the thesis is to propose a reduction technique of CTs suffered by the processor cores in a multiprocessor on chip architecture such that real-time application constraints are met. The example of the Freescale MPC5517 circuit has been considered. In a first step a thermal model of this circuit was developed. This was achieved from measurements taken by a thermal camera on a decapsulated circuit. Next, a simulation environment has been implemented allowing both the analysis of thermal behavior and the scheduling of tasks so as to highlight the influence of temperature on the dissipated power. A global heuristic to reduce both the CTs and the maximum temperature of processors has been studied. It takes into account variations in the ambient temperature and is based on DVFS and DPM techniques. Simulation results with global scheduling algorithms RM, EDF and EDZL and different processor loads (for a MPC5517 type circuit and a T1 UltraSparc from Sun Microsystems) illustrate the effectiveness of the proposed technique.

Actuellement, les systèmes permettant de transférer de l’énergie dans le but de recharger les accumulateurs d’appareils électroniques sans l’emploi de câble se démocratisent davantage chaque jour. On comprend donc bien l’intérêt de tels systèmes dans des environnements embarqués et confinés tels que l’habitacle d’un véhicule. Le principe de l’induction magnétique réside dans un transfert de flux magnétique entre deux antennes inductives. Le champ magnétique servira de vecteur au transport d’une puissance électrique, puisque c’est au travers de cette création de flux magnétique que sera échangée ou transférée la puissance d’un émetteur vers un récepteur. Un tel système d’émission-réception de puissance utilisant le principe d’induction magnétique contient un émetteur, des antennes (bobines) inductives couplées et un récepteur. Un premier chapitre sera donc consacré à l’étude des antennes d’un point de vue théorique et technologique. Des modèles électromagnétiques d’antennes inductives seront développés, et après validation par corrélation avec des mesures électriques et électromagnétiques, ils seront employés au travers d’intenses simulations électromagnétiques. Ceci afin de montrer l’impact des paramètres définissant ces antennes inductives sur leurs comportements électrique et électromagnétique. Une fois les antennes inductives optimisées et leurs paramètres clés identifiés, on étudiera dans un deuxième temps les effets de l’induction magnétique lorsque qu’une antenne d’émission et une autre de réception sont présentées ensembles et mises en condition de transfert d’énergie. On mettra donc en évidence le principe de couplage magnétique entre les antennes ainsi que la notion de rendement de puissance appelé aussi efficacité de liaison. Les différents paramètres des antennes seront là aussi caractérisés afin d‘étudier leur influence sur le transfert d’énergie inductif. Le tout illustré de la même manière que précédemment, en s’appuyant sur d’intenses simulations électromagnétiques et des modèles validés par rapport à différentes méthodes de mesure. Ceci dans le but de comprendre les mécanismes de fonctionnement et d’optimisation d’un système de transfert d’énergie par induction magnétique ainsi que de proposer des règles générales de conception d’antennes inductives. Dans un troisième temps, on présentera les différents étages électroniques composant les systèmes de transfert d’énergie inductif. Une partie sera dédiée à la définition du point de vue système des éléments constituant la chaine complète d’émission et de réception. La conception, l’optimisation et la mesure des amplificateurs de puissance utilisés au niveau de l’émetteur seront également présentés. En effet, ces systèmes doivent être suffisamment performants afin de transférer des puissances capables d’alimenter des appareils électroniques de type téléphones tout en ayant un bilan de puissance efficace avec des pertes limitées. A partir de modèles de circuits émetteur et récepteur et en s’appuyant sur des simulations circuits, nous estimerons les bilans de puissances afin d’évaluer les performances et les limites des différents systèmes. Ces simulations une fois validées par mesures permettront de quantifier l’efficacité du transfert de puissance et proposer des voies d’optimisation. Ces systèmes et technologies sont de plus en plus utilisés pour l’électronique grand public et il existe actuellement plusieurs standards régissant le transfert d’énergie inductif. Les différentes études présentées dans cette thèse seront donc orientées vers ces différentes normes, et des analogies seront réalisées tout le long du mémoire afin de mettre en exergue leurs différents principes de fonctionnement. / Nowadays there is a strong demand of systems allowing to transfer energy in a wirelessly way to small electronic devices. So we can well understand the interest of such systems in embedded environments such as vehicle cockpit. The principle of magnetic induction comes from a magnetic flux exchange between two inductive antennas. The magnetic field will be used to transport an electrical power from an emitter to a receiver. These systems using the magnetic induction to transfer energy contain an emitter, inductive antennas (coils) and a receiver. A first chapter will be dedicated to the antennas employed in inductive wireless power transfer systems on theoretical and technological points of views. An electromagnetic modeling of these inductive antennas will be realized and validated through correlation with measurements. Once the modeling process defined and the validations done, it will be used through intensive electromagnetic simulations in order to show the impact of antennas parameters on their electrical and electromagnetic performances. After the inductive antennas characterization and their key parameters identification done, we will study in a second time the magnetic induction effects when emission and reception antennas are placed together in order to realize an inductive power transfer. Notions of magnetic coupling which appears between inductive antennas and magnetic efficiency which characterizes how much quantities of power are transferred will be highlighted. In the same conditions as before, the impact of antennas parameters on the power transfer and magnetic coupling will be investigated through electromagnetic modeling of inductive antennas and the use of intensive electromagnetic simulations. Thus, we will have the opportunity to precisely understand the meaning of the inductive power transfer and the different ways of optimizations. By this way, we will also propose some general design guidelines for antennas employed in inductive wireless power transfer systems. A third chapter will be dedicated to the presentation of the different electronic stages used in inductive wireless power transfer systems. A part of it will be employed on the definitions of the different elements allowing the wireless power transfer on a system approach. The design, optimization and measurement of power amplifiers used on the emission stage will be presented too.. Indeed, it is necessary to have efficient power amplification in order to transfer the required power to different receivers such as phones at the same time to limit the power losses. From circuit modeling of different emitter and receiver and with circuit simulations, we will develop power budgets in order to evaluate the performances and limits of these systems. Once the simulation validated by measurement, we will be able to quantify the total power transfer efficiency and propose optimization ways. Because of the current existence of different inductive wireless power standards on the industrial market for electronic consumer, analogies with them will be done all along the different steps of this thesis in order to highlighted their different functioning principles.

Ce travail de thèse propose une méthodologie systématique d’évaluation et de comparaison des gains en émissions de CO2 de véhicules hybrides électriques de différentes architectures et intégrant différentes fonctionnalités. Une méthodologie de dimensionnement a été mise en place, elle se base sur la définition d’un cahier des charges en performances dynamiques des véhicules, la mise en place d’algorithmes de mise à l’échelle afin de générer les données des composants de la chaîne de traction (batterie, machine électrique, moteur thermique), et l’utilisation de procédures de dimensionnement du véhicule sous contrainte de minimisation des émissions de CO2. L’évaluation énergétique des différentes configurations de véhicule ainsi dimensionnées s’articule autour de la définition de différents usages du véhicule et sur l’implémentation d’une loi de gestion optimale de l’énergie de type Principe du Minimum de Pontriaguine. Ces méthodologies ont été appliquées à une architecture conventionnelle, servant de référence pour les performances dynamiques et les consommations énergétiques, et d’une architecture hybride parallèle pré-transmission, pour laquelle une configuration hybride rechargeable et une configuration hybride non rechargeable ont été implémentées. / This thesis work proposes a systematic methodology dedicated to the evaluation and comparison of CO2 emissions’ reduction for hybrid electric vehicles with different architectures and different levels of functionality. A sizing methodology has been developed, which is based on the definition of the requirements for the dynamic performances of vehicles, on the development of scaling algorithms in order to generate the dataset for the powertrain components (battery, electric motor, engine), and on the application of procedures for the sizing of a vehicle under CO2 emissions’ minimization constraint. The energy consumption evaluation of the different vehicle configurations, which were previously sized, is founded on the definition of a variety of vehicle’s type of use, as well as on the implementation of an optimal energy management strategy, the Pontryaguin’s Minimum Principle. These methodologies have been applied to a conventional vehicle architecture, which has been used as a reference for dynamic performances and energy consumption, and to a hybrid parallel pre-transmission architecture, which has been defined in two configurations, a plug-in hybrid and a non plug-in full-hybrid.

Cette thèse traite de la modélisation et la simulation de réseaux de capteurs sans fil afin de fournir des estimations précises de consommations d´énergie. Un cadre de conception et de simulation base sur SystemC au niveau système est proposé, nommé IDEA1. Elle permet l’exploration de l’espace de conception de réseaux de capteurs à un stade amont. Les résultats de simulation comprennent le taux de livraison de paquets, la latence de transmission et les consommations d’énergie. Sur un banc d’essai comportant 9 nœuds, la différence moyen entre les IDEA1 simulations et les mesures expérimentales est 4.6 %. Les performances d'IDEA1 sont comparées avec un autre simulateur largement utilisé, NS-2. Avec la co-simulation matérielle et logicielle, IDEA1 peut apporter des modèles plus détaillés de nœuds de capteurs. Pour fournir les résultats de la simulation au même niveau d’abstraction, IDEA1 réalise les simulations deux fois plus vite que NS-2.Enfin, deux études de cas sont accomplies pour valider le flot de conception d'IDEA1. La performance de l‘IEEE 802.15.4 est globalement évaluée pour diverses charges de trafic et configurations de paramètres de protocole. Une application de contrôle actif des vibrations est également étudiée. Les simulations d'IDEA1 trouvent le meilleur choix de protocoles de communication. / This thesis deals with the modeling and simulation of wireless sensor networks in order to provide mote accurate prediction of energy consumptions. A SystemC-based system level design and simulation framework is proposed, named as IDEA1. It enables the design space exploration of sensor networks at an early stage. The simulation results include packet delivery rate, transmission latency and energy consumptions. A testbed consisting of 9 motes is built to validate the simulation results of IDEA1. The average deviation between the IDEA1 simulations and the experimental measurements is 4.6%. The performances of IDEA1 are compared with a widely-used WSN simulator,NS-2. With the hardware and software co-simulation, IDEA1 can provide more detailed models of sensor nodes. For offering the simulation results at same abstraction level,IDEA1 only uses one third of the simulation time of NS-2. Finally, two case studies are performed to validate design flow of IDEA1. The performance of IEEE 802.15.4sensor networks is comprehensively evaluated for various traffic loads and configurations of protocol parameters. In addition, a real-time active vibration control application is also studied. By the simulation of IDEA1, the best choice of communication protocols and hardware platforms is found.

Economic utilization of geothermal networks under agricultural surfaces needs large agricultural areas. In order to exploit the cultivated land more effectively, this paper proposes a novel locally vibrating plough system that employs a hydraulic actuator direct on the plough blade instead of the state of the art external vibration units. Starting with a description of geothermal networks under agricultural surfaces and the construction technology in details, the contribution shows different concepts, the development and test of the most promising solution for imprinting local vibrations at the cutting edge with the goal of traction force reduction. A virtual demonstrator, the test rig set-up and the control concepts are described. Both of the closed-loop simulation and experimental position control of the entire vibration system demonstrate that the novel design has impressive performance improvement. Finally, the integration of the vibration system into a prototype tool is shown and the reduction of the traction force is proven by experiments carried out with a tractor on a testing field.

Stärker verteilte Systeme in der Planung und Produktion verbessern die Agilität und Wartbarkeit von Einzelkomponenten, wobei gleichzeitig jedoch deren Vernetzung untereinander steigt. Das stellt wiederum neue Anforderungen an die semantische Beschreibung der Komponenten und deren Verbindungen, wofür Informations- und Datenmodelle unabdingbar sind. Der Lebenszyklus dieser Modelle ist dabei von Änderungen geprägt, mit denen umgegangen werden muss. Heutige Revisionsverwaltungssysteme, die die industriell geforderte Nachvollziehbarkeit bereitstellen könnten, sind allerdings nicht auf die speziellen Anforderungen der Informations- und Datenmodelle zugeschnitten, wodurch Möglichkeiten einer konsistenten Evolution verringert werden. Im Rahmen dieser Dissertation wurde ein Revision Management System zur durchgängigen Unterstützung der Evolution von Informations- und Datenmodellen entwickelt, das Revisionsverwaltungs- und Evolutionsmechanismen integriert. Besonderheit ist hierbei die technologieunabhängige mathematische und semantische Beschreibung, die eine Überführung des Konzepts in unterschiedliche Technologien ermöglicht. Beispielhaft wurde das Konzept für das Semantic Web als Weiterentwicklung des Open-Source-Projektes R43ples umgesetzt. / The increased distribution of systems in planning and production leads to improved agility and maintainability of individual components, whereas concurrently their cross-linking increases. This causes new requirements for the semantic description of components and links for which information and data models are indispensable. The life cycle of those models is characterized by changes that must be dealt with. However, today’s revision control systems would provide the required industrial traceability but are not enough for the specific requirements of information and data models. As a result, possibilities for a consistent evolution are reduced. Within this thesis a revision management system was developed, integrating revision control and evolution mechanisms to support the evolution of information and data models. The key is the technology-independent mathematical and sematic description allowing the application of the concept within different technologies. Exemplarily the concept was implemented for the Semantic Web as an extension of the open source project R43ples.

Wheel loaders are fundamental construction equipment to assist handling of bulk material e.g. gravel and stones. During digging operations, it withstands forces that are both large and very complicated to predict. Moreover, it is very expensive to develop prototypes of wheel loader for verification. Consequently, the Discrete Element Method (DEM) was introduced for gravel modeling a couple of years ago to enable prediction of these forces. The gravel model is connected with a Multibody System (MBS) model of the wheel loader, in this thesis a Volvo L180G. The co-simulation of these two systems is a very computer intensive operation and hence, it is important to investigate which parameters that have the largest influence on the simulation results. The aim of this thesis is to investigate the simulation sensitivity with respect to co-simulation communication interval, collision detection interval and gravel normal stiffness.The simulation results are verified by comparison with measurement data from previous tests performed by Volvo CE. The simulations are compared to investigate the relevant parameters. The conclusion of this thesis is that DEM is a method that in a very good way can predict the draft forces during digging operations.

Recent issues such as priority access of renewable resources recommended by European energy directives and increase the electricity trading among countries lead to new requirements on the operation and expansion of transmission grids. Since AC grid expansions are limited by legislative issues and long distance transmission capacity, there is a considerable attention drawn to application of HVDC transmission grids on top of, or in complement to, existing AC power systems. The secure operation of HVDC grids requires a hierarchical control system. In HVDC grids, the primary control action to deal with power or DC voltage deviations is communication-free and local. In addition to primary control, the higher supervisory control actions are needed to guarantee the optimal operation of HVDC grids. However, the implementation of supervisory control functions is linked to the arrangement of system operators; i.e. an individual HVDC operator (central structure) or sharing tasks among AC system operators (distributed structure). This thesis presents distributed control of an HVDC grid. To this end, three possible supervisory functions are investigated; coordination of power injection set-points, DC slack bus selection and network topology identification. In this thesis, all three functions are first studied for the central structure. For the distributed solution, two algorithms based on Alternating Direction Method of Multipliers (ADMM) and Auxiliary Problem Principle (APP) are adopted to solve the coordination of power injection. For distributed selection of DC slack bus, the choice of parameters for quantitative ranking of converters is important. These parameters should be calculated based on local measurements if distributed decision is desired. To this end, the short circuit capacity of connected AC grid and power margin of converters are considered. To estimate the short circuit capacity as one of the required selection parameters, the result shows that the recursive least square algorithm can be very efficiently used. Besides, it is possible to intelligently use a naturally occurring droop response in HVDC grids as a local measurement for this estimation algorithm. Regarding the network topology, a two-stage distributed algorithm is introduced to use the abstract information about the neighbouring substation topology to determine the grid connectivity. / <p>QC 20170306</p>

Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of charge (SOC) and driver’s request through the pedal input in decision-making. This method does not achieve an optimal performance for saving fuel or maintaining appropriate SOC level, especially during the operation in extreme driving conditions or hilly terrain. The objective of this thesis is to develop a control algorithm using forthcoming traffic condition and road elevation, which could be fed from navigation systems. This would enable the controller to predict potential of regenerative charging to capture cost-free energy and intentionally depleting battery energy to assist an engine at high power demand. The starting point for this research is the modelling of a small sport-utility vehicle by the analysis of the vehicles currently available in the market. The result of the analysis is used in order to establish a generic mild hybrid powertrain model, which is subsequently examined to compare the performance of controllers. A baseline is established with a conventional powertrain equipped with a spark ignition direct injection engine and a continuously variable transmission. Hybridisation of this vehicle with an integrated starter alternator and a traditional rule-based control strategy is presented. Parameter optimisation in four standard driving cycles is explained, followed by a detailed energy flow analysis. An additional potential improvement is presented by dynamic programming (DP), which shows a benefit of a predictive control. Based on these results, a predictive control algorithm using fuzzy logic is introduced. The main tools of the controller design are the DP, adaptive-network-based fuzzy inference system with subtractive clustering and design of experiment. Using a quasi-static backward simulation model, the performance of the controller is compared with the result from the instantaneous control and the DP. The focus is fuel saving and SOC control at the end of journeys, especially in aggressive driving conditions and a hilly road. The controller shows a good potential to improve fuel economy and tight SOC control in long journey and hilly terrain. Fuel economy improvement and SOC correction are close to the optimal solution by the DP, especially in long trips on steep road where there is a large gap between the baseline controller and the DP. However, there is little benefit in short trips and flat road. It is caused by the low improvement margin of the mild hybrid powertrain and the limited future journey information. To provide a further step to implementation, a software-in-the-loop simulation model is developed. A fully dynamic model of the powertrain and the control algorithm are implemented in AMESim-Simulink co-simulation environment. This shows small deterioration of the control performance by driver’s pedal action, powertrain dynamics and limited computational precision on the controller performance.

Over the last two decades, computer modeling and simulation have evolved as the tools of choice for the design and engineering of dynamic systems. With increased system complexities, modeling and simulation become essential enablers for the design of new systems. Some of the advantages that modeling and simulation-based system design allows for are the replacement of physical tests to ensure product performance, reliability and quality, the shortening of design cycles due to the reduced need for physical prototyping, the design for mission scenarios, the invoking of currently non-existing technologies, and the reduction of technological and financial risks. Traditionally, dynamic systems are modeled in a monolithic way. Such monolithic models include all the data, relations and equations necessary to represent the underlying system. With increased complexity of these models, the monolithic model approach reaches certain limits regarding for example, model handling and maintenance. Furthermore, while the available computer power has been steadily increasing according to Moore's Law (a doubling in computational power every 10 years), the ever-increasing complexities of new models have negated the increased resources available. Lastly, modern systems and design processes are interdisciplinary, enforcing the necessity to make models more flexible to be able to incorporate different modeling and design approaches. The solution to bypassing the shortcomings of monolithic models is co-simulation. In a very general sense, co-simulation addresses the issue of linking together different dynamic sub-models to a model which represents the overall, integrated dynamic system. It is therefore an important enabler for the design of interdisciplinary, interconnected, highly complex dynamic systems. While a basic co-simulation setup can be very easy, complications can arise when sub-models display behaviors such as algebraic loops, singularities, or constraints. This work frames the co-simulation approach to modeling and simulation. It lays out the general approach to dynamic system co-simulation, and gives a comprehensive overview of what co-simulation is and what it is not. It creates a taxonomy of the requirements and limits of co-simulation, and the issues arising with co-simulating sub-models. Possible solutions towards resolving the stated problems are investigated to a certain depth. A particular focus is given to the issue of time stepping. It will be shown that for dynamic models, the selection of the simulation time step is a crucial issue with respect to computational expense, simulation accuracy, and error control. The reasons for this are discussed in depth, and a time stepping algorithm for co-simulation with unknown dynamic sub-models is proposed. Motivations and suggestions for the further treatment of selected issues are presented.