Les travaux présentés dans cette thèse concernent la modélisation, le dimensionnement et la commande d'un coffre composé de supercondensateurs et d'un convertisseur DC/DC permettant d’alimenter les auxiliaires d’un trolleybus ou les moteurs de traction lors des coupures de la ligne aérienne. Dans la première partie, nous nous sommes intéressés au dimensionnement du système destockage pour une application du type récupération de l'énergie au freinage d'un trolleybus. Les modèles directes et inverses de la chaine cinématique ont été étudiés afin de définir une stratégie de dimensionnement du coffre s'appuyant sur le plan de Ragon. La seconde partie aborde la problématique de la fiabilité de l'élément de stockage. Le but est d'évaluer les contraintes que subissent les supercondensateurs en cours de fonctionnement et de prédire le vieillissement de ces derniers. Pour ce faire, nous avons développé et validé un modèle électrothermique du coffre de supercondensateurs. Ce modèle électrothermique a également été couplé à des lois de vieillissement permettant ainsi de prendre en compte les variations paramétriques majeures de ce système. Les résultats de ce couplage montrent l'impact de la dispersion des températures à l'intérieur du coffre sur la durée de vie de chaquesupercondensateur et du système de stockage. Finalement, le contrôle du convertisseur statique (hacheur Buck/Boost) associé auxsupercondensateurs est abordé. Une étude théorique a été menée pour synthétiser des lois de commande par mode de glissement et par PI appliqués au mode élévateur du hacheur (Boost). Ces lois de commande ont été validées sur un banc de test constitué d'un hacheur réversible, d'une alimentation DC, d'une charge résistive et de huit supercondensateurs. La comparaisondes résultats expérimentaux mettre en évidence l'intérêt de la commande par mode glissant enraison de sa robustesse et de sa réactivité par rapport à une commande classique (PI). / The studies presented in this thesis concern the thermal modeling, sizing and control of a stack composed of supercapacitors and DC/DC converter that feeds the auxiliaries or traction motors of the trolleybus in the case of electrical microcuts. In the first part, we were interested in the sizing of the storage system for an application concerning the recovering braking energy of a trolleybus. Direct and inverse models of the kinematic chain were studied in order to define a design strategy based on the Ragon. The second part concerns the reliability of the storage system. The aim is to evaluate the stresses on supercapacitors during cycling and to predict the aging of the components. Toachieve this goal, we have developed and validated an electrothermal model of the stack. This model was then coupled to aging laws allowing taking into account the major parametric variation of the system. The results show the impact of the dispersion of temperatures inside the stack on the life time of each supercapacitors in the storage system. Finally, the control of the static converter (Buck/Boost converter) combined with supercapacitors is analyzed. A theoretical study was conducted to synthesize PI and sliding mode controller applied to a boost converter. This control laws has been validated on a test bench consisting of a reversible converter, a DC power supply, a resistive load and eight supercapacitors. The experimental results show the advantage of sliding mode control in terms of robustness and reactivity compared to a classical PI control.

Shape Memory Alloy is an amazing material, which can “remember” and return to its original shape when heated due to its temperature dependent phase transformation. Shape Memory Alloy wire has significant potential for application in the automobile industry due to its high ratio of energy / weight and silent actuation. However, a dependable method to measure the operating temperature of SMA wire and a reliable heat transfer model to characterize the dynamics of the SMA wire limit its widespread use in the automobile industry. This thesis presents a detailed description of the work performed to develop a reliable method for determining surface temperature of current carrying SMA wires and the development of a heat transfer correlation for natural convection cooling of heated SMA wires. The major findings of the research are as follows: When a spot welded thermocouple measures the temperature of a current carrying SMA wire, there is a “spurious voltage” ΔV added to the thermo electro-motive force (EMF) of the thermocouple as a result of a voltage drop across the two points of contact that the thermocouple wires make with the SMA wire. This leads to an erroneous temperature reading that can be higher or lower than the actual temperature depending on the direction of current flow. When the carrying current is reversed in direction, the “spurious voltage” becomes –ΔV allowing a correct temperature reading to be obtained by averaging the readings based on opposed current flow. A two-step spot welding procedure for attaching thermocouples to SMA wire can eliminate the influence of the “spurious voltage” in the temperature reading. By spot welding the thermocouple wires onto the SMA wire one by one, the thermocouple lead offset is eliminated and the thermocouple provides an accurate point source reading. Infrared thermal imaging can be a good supplement in the experiment to monitor errors in temperature readings from thermocouples. Due to the curvature of the SMA wire, the temperatures of the locations on the SMA wire that are the closest to the infrared camera represent the temperature of the SMA wire. So a line analysis across the SMA wire on the software “ThermaCAM” is required to determine the temperature of the SMA wire by infrared thermal imaging and the highest temperature on the line is the temperature of the SMA wire. A new natural convective heat transfer correlation comprising the inclination angle φ is developed based on experimental results, which can be used to predict the temperature of a SMA wire given its diameter and inclination angle. The comparisons show that the new correlation agrees with existing correlations in a vertical orientation and for small Rayleigh numbers (0.001 < RaD < 0.05) in the horizontal orientation. The correlation developed in this work for horizontal orientation tends to overestimate values of Nusselt numbers as predicted in other correlations when the Rayleigh number is high (0.05 < RaD < 0.6). It is speculated that this overestimation can be attributed to a temperature distortion associated with thermocouple measurement at or near ambient pressure conditions.

Thermo-mechanical failure of components in planar-type solid oxide fuel cells (SOFCs) is a major obstacle on the path to bringing this technology to commercial viability. The probability of material degradation and failure in SOFCs depends strongly on the local temperature gradients at the interfaces of different materials. Therefore, it is of paramount importance to accurately predict and manage the temperature fields within the stack, especially near the interfaces. In this work we consider three effects in detail. First, we analyze radiative heat transfer effects within the semi-transparent solid electrolyte and compared them to thermal conduction. We also, present the modeling approach for calculation of surface-to-surface exchange within the flow channels and from the stack to the environment. The simplifying assumptions are identified and their carefully justified range of applicability to the problem at hand is established. This allows thermal radiation effects to be properly included in overall thermal modeling efforts with the minimum computational expense requirement. Second, we developed a series of reduced-order models for the transient heating and cooling of a cell, leading to a framework for optimization of these processes. The optimal design is one that minimizes heating time while maintaining thermal gradients below an allowable threshold. To this end, we formulated reduced order models (validated by rigorous CFD simulations) that yield simple algebraic design rules for predicting maximum thermal gradients and heating time requirements. Several governing dimensionless parameters and time scales were identified that shed light on the essential physics of the process. Finally, an analysis was performed to assess the degree of local thermal non-equilibrium (LTNE) within porous SOFC electrodes, and through a simple scaling analysis we discovered the parameter that gives an estimate of the magnitude of LTNE effects. We conclude that because of efficient heat transfer between the solid and gas in the microscale pores of the electrodes, the temperature difference between gas and solid is often negligible. However, if local variations in current density are significant, the LTNE effects may become significant and should be considered.

In this research, two comprehensive numerical models were developed using ABAQUS/CAE Finite Element (FE) software: 1) geothermal model, and 2) coupled thermo-hydro-mechanical model. In the first model, a purely heat transfer analysis was performed to reproduce the conditions at the site and investigate the subsurface thermal regime beneath the road embankment. The existence of a frozen section (frost bulb) underneath the embankment and its size and location were investigated by the model. The second model concentrated on the mechanical behaviour of the road embankment. Temperature-dependent thermal and mechanical properties were used for all the materials. Model parameters were calibrated using the results of the triaxial and oedometer tests which have been conducted by previous researchers. A fully-coupled and a sequentially-coupled analysis were conducted. The results of the two analyses were compared to each other and to the field measurements. / February 2016

Shape Memory Alloy is an amazing material, which can “remember” and return to its original shape when heated due to its temperature dependent phase transformation. Shape Memory Alloy wire has significant potential for application in the automobile industry due to its high ratio of energy / weight and silent actuation. However, a dependable method to measure the operating temperature of SMA wire and a reliable heat transfer model to characterize the dynamics of the SMA wire limit its widespread use in the automobile industry. This thesis presents a detailed description of the work performed to develop a reliable method for determining surface temperature of current carrying SMA wires and the development of a heat transfer correlation for natural convection cooling of heated SMA wires. The major findings of the research are as follows: When a spot welded thermocouple measures the temperature of a current carrying SMA wire, there is a “spurious voltage” ΔV added to the thermo electro-motive force (EMF) of the thermocouple as a result of a voltage drop across the two points of contact that the thermocouple wires make with the SMA wire. This leads to an erroneous temperature reading that can be higher or lower than the actual temperature depending on the direction of current flow. When the carrying current is reversed in direction, the “spurious voltage” becomes –ΔV allowing a correct temperature reading to be obtained by averaging the readings based on opposed current flow. A two-step spot welding procedure for attaching thermocouples to SMA wire can eliminate the influence of the “spurious voltage” in the temperature reading. By spot welding the thermocouple wires onto the SMA wire one by one, the thermocouple lead offset is eliminated and the thermocouple provides an accurate point source reading. Infrared thermal imaging can be a good supplement in the experiment to monitor errors in temperature readings from thermocouples. Due to the curvature of the SMA wire, the temperatures of the locations on the SMA wire that are the closest to the infrared camera represent the temperature of the SMA wire. So a line analysis across the SMA wire on the software “ThermaCAM” is required to determine the temperature of the SMA wire by infrared thermal imaging and the highest temperature on the line is the temperature of the SMA wire. A new natural convective heat transfer correlation comprising the inclination angle φ is developed based on experimental results, which can be used to predict the temperature of a SMA wire given its diameter and inclination angle. The comparisons show that the new correlation agrees with existing correlations in a vertical orientation and for small Rayleigh numbers (0.001 < RaD < 0.05) in the horizontal orientation. The correlation developed in this work for horizontal orientation tends to overestimate values of Nusselt numbers as predicted in other correlations when the Rayleigh number is high (0.05 < RaD < 0.6). It is speculated that this overestimation can be attributed to a temperature distortion associated with thermocouple measurement at or near ambient pressure conditions.

The overarching goal of this work is to address the design of next-generation, high torque density electrical machines through numerical optimization using an integrated thermal-electromagnetic design tool that accounts for advanced cooling technology. A parametric thermal model of electric machines was constructed and implemented using a finite difference approach incorporating an automated, self segmenting mesh generation. A novel advanced cooling technology is proposed to improve thermal transport in the machine by removing heat directly from the windings via heat exchangers located between the winding bundles. Direct winding heat exchange (DWHX) requires high convective transport and low pressure loss. The heat transfer to pressure drop tradeoff was addressed by developing empirically derived Nusselt number and friction factor correlations for micro-hydrofoil enhanced meso-channels. The parametric thermal model, advanced cooling technique, Nusselt number and friction factor correlations were combined with a parametric electromagnetic model for electric machines. The integrated thermal-electromagnetic model was then used in conjunction with particle swarm optimization to determine optimal conceptual designs. The Nusselt number correlation achieves an R² value of 0.99 with 95% of the data falling within ± 2.5% similarly the friction factor correlation achieves an R² value of 0.92 with 95% of the data falling within ± 10.2%. The integrated thermal-electromagnetic design tool, incorporating DWHX, generated an optimized 20 kW permanent magnet electric machine design achieving a torque density of 23.2 N-m/L based on total system volume.

Dans le cadre du développement du véhicule électrique hybride, les machines électriques pour la traction sont l’objet d’un effort toujours plus important de recherche et de développement. En particulier, les contraintes d’encombrement allouées à ces machines sont toujours plus sévères et la recherche se porte vers des structures de machines compactes. C’est dans ce contexte que nos travaux se sont portés sur l’étude et le dimensionnement de machine à flux axial pour une application hybridation douce (Mild Hybrid) d’alterno-démarreur monté sur vilebrequin de puissance 50 kW et de couple 205 Nm en régime transitoire. Un état de l’art des machines à flux axial est présenté. Une analyse des configurations de bobinage avec la méthode de l’étoile des encoches est détaillée. Un début d’analyse de la machine à commutation de flux est proposé. La méthodologie de dimensionnement est étayée. Elle repose sur des études de sensibilité, un dimensionnement paramétrique, mais aussi une optimisation de la machine. Les modèles utilisés sont de type éléments finis et surface de réponse par plan d’expériences. Enfin, une étude thermique de la machine est effectuée et des pistes sont données pour l’amélioration de l’échange thermique par refroidissement diphasique. / In the context of development of the hybrid electric vehicle, electric machines for traction are under extensive investigation. In particular, volume constraints are more and more severe and research is carried out towards compact structures. This work is focused on the study and the design of axial flux machine for a mild-hybrid application of an integrated starter generator mounted on the crankshaft. Its ratings in transient mode are 50 kW and 205 Nm. A literature review of axial flux machines is presented. A analysis of winding configurations with star of slots method is detailed. A beginning of analysis of switching-flux machine is proposed. The methodology of design is detailed. It is based on sensitivity analysis, parametric design and optimization of the machine. Utilized models are finite element model and response surface by design of experiments. Finally, a thermal study of the machine is carried out and some ideas are given to improve the thermal exchange by diphase cooling.

This work explores the development of a home energy management system (HEMS) that uses weather and market forecasts to optimize the usage of home appliances and to manage battery usage and solar power production. A Moving Horizon Estimation (MHE) application is used to find the unknown home model parameters. These parameters are then updated in a Model Predictive Controller (MPC) which optimizes and balances competing comfort and economic objectives. Combining MHE and MPC applications alleviates model complexity commonly seen in HEMS by using a lumped parameter model that is adapted to fit a high-fidelity model. HVAC on/off behaviors are simulated by using Mathematical Program with Complementary Constraints (MPCCs) and solved in near real-time with a nonlinear solver. Removing HVAC on/off as a discrete variable decreases potential solutions and consequently reduces solve time and increases the probability of reaching a more optimal solution. The results of this work indicate that energy management optimization significantly decreases energy costs and balances energy usage more effectively throughout the day compared to a home with regular temperature control. A case study for Phoenix, Arizona shows an energy reduction of 21% and a cost reduction of 40%. Homes using this home energy optimization will contribute less to the grid peak load and therefore, improve grid stability and reduce the amplitude of load following cycles for utilities. This case study combines renewable energy, energy storage, forecasts, cooling system, variable rate electricity plan and a multi-objective function allowing for a complete home energy optimization assessment. There remain several challenges, including improved forecast models, improved computational performance to allow the algorithms to run in real-time, and mixed empirical / first principles machine learning methods to guide the model structure.

In diesem Beitrag wird ein thermisches Modell beschrieben, mit dem die Temperaturverteilung einer elektrischen Maschine während des dynamischen Betriebes berechnet werden kann. Die Maschine kann so ohne Überschreiten von Temperaturgrenzen weiter ausgenutzt werden. / In this paper a thermal model for dynamic operations is proposed to calculate the transient temperature distribution in the electrical machine. With the help of the model it is possible to increase availability during overload operation. Temperature limit overrun can be avoided.

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