Orientador: Franco Giuseppe Dedini / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-23T05:45:50Z (GMT). No. of bitstreams: 1 Correa_FernandaCristina_D.pdf: 2997267 bytes, checksum: d232b968b2a0c38ad71028200424345b (MD5) Previous issue date: 2013 / Resumo: O considerável aumento de automóveis tem causado graves efeitos ao meio ambiente e para o homem, fato este que incentiva a pesquisa pela obtenção de formas de energia mais limpa. A adoção da tecnologia propulsora híbrida veicular tem contribuído para a redução da agressão causada pelos automóveis ao meio ambiente. O termo "híbrido" deriva da combinação de duas ou mais fontes de potência, sendo que a combinação mais comum se faz através de um motor de combustão interna (MCI), comumente usado em veículos convencionais, com o conjunto bateria e motor elétrico (ME) usados nos VEs (Veículos Elétricos). Em geral, a principal razão para usar a arquitetura híbrida elétrica é o grau de liberdade adicional devido à presença de uma fonte de energia adicional além do tanque de combustível; isto implica que, a cada instante, a potência necessária pelo veículo pode ser fornecida por uma dessas fontes, ou por uma combinação das duas. Escolher a combinação correta é normalmente uma tarefa complexa. Dentro desse contexto, neste trabalho é realizado o desenvolvimento e a análise das estratégias de gerenciamento de potência em um VEH a fim de minimizar o seu consumo de combustível e consequentemente suas emissões. São desenvolvidas duas estratégias de gerenciamento, a primeira baseada em regras e a segunda utilizando sistemas fuzzy. Além disso, também é realizado o controle interno do motor a combustão, de forma que este opere, na maior do tempo, em regiões que tenham um menor consumo específico. Por meio da utilização das estratégias de gerenciamento de potência aliadas ao controle do motor a combustão é possível obter uma considerável economia de combustível. Comparando-se as duas estratégias desenvolvidas, a estratégia baseada em fuzzy é a que proporcionou melhor economia de combustível / Abstract: The considerable increase of automobiles has caused serious effects to the environment and to man; this fact encourages research by obtaining forms of cleaner energy. The adoption of hybrid vehicle propulsion technology has contributed to the reduction of aggression caused by car to the environment. The term "hybrid" derives from the combination of two or more power sources, and the most common combination is by of the engine (MCI), commonly used in conventional vehicles, together with the battery and motor electric (ME) used in EVs (Electric Vehicles). In general, the main reason to use the architecture electric hybrid is the additional degree of freedom due to the presence of an energy source plus additional fuel tank, this implies that, at each instant, the power required the vehicle may be provided by one of these sources, or a combination of both. Choose the correct combination is usually a complex task. Within of this context, this work development is undertaken and analysis of strategies for power management in a VEH in order to minimize fuel consumption and thus emissions. Two management strategies are developed, the first is based in rules and the second is based in fuzzy systems. Furthermore, it is also performed internal control engine combustion of so that it operates at greater time in regions having lower specific fuel consumption. Through the use of power management strategies coupled with the motor control combustion is possible to obtain a considerable saving of fuel. Comparing the two strategies developed, the strategy based on fuzzy is that provided better economy fuel / Doutorado / Mecanica dos Sólidos e Projeto Mecanico / Doutora em Engenharia Mecânica

La crise du pétrole et les contraintes écologiques obligent de nombreux constructeurs automobiles à développer des programmes de recherche importants dans le développement des véhicules électriques et hybrides électriques. Dans ce contexte, cette thèse a pour but de vérifier la faisabilité d’une chaine de traction hybride innovante consistant à partir d’unvéhicule thermique existant et à réduire la puissance du moteur thermique tout en ajoutant des moteurs intégrés dans les roues du train arrière. Ce travail a été réalisé dans le cadre d’un projet financé par l’ADEME et en collaboration notamment avec le constructeur automobile AIXAM-MEGA.Plus précisément, le travail de thèse a donc porté sur le dimensionnement des sources énergétiques, la modélisation énergétique et fonctionnelle du véhicule et enfin la réalisation et la caractérisation expérimentale du véhicule.Dans le premier chapitre, l’auteur développe une revue bibliographique relative aux véhicules hybrides électriques existants. Cela permet ensuite d’introduire le concept innovant de chaine de traction hybride décrit ci-dessus, reposant en quelque sorte sur un couplage par la route des puissances de propulsion thermiques et électriques.Dans le deuxième chapitre l’auteur aborde le dimensionnement des sources énergétiques en se focalisant sur les super-condensateurs. Il propose une approche analytique simple de calcul reposant sur les missions définies par le constructeur AIXAM-MEGA. Les modules de supercondensateurs retenus sont ensuite caractérisés expérimentalement (capacité, résistance interne, rendement de stockage…) en prenant en compte l’effet de la température.Les troisième et quatrième chapitres sont consacrés à la modélisation du véhicule. En premier lieu, le troisième chapitre aborde la modélisation énergétique du véhicule. Le véhicule a entièrement été modélisé en utilisant le formalisme de représentation énergétique macroscopique développée initialement au Laboratoire d’Électrotechnique et d’Électroniquede Puissance de Lille. Ce modèle a permis de développer le contrôle du véhicule. Ensuite, dans le quatrième chapitre, l’auteur présente la modélisation fonctionnelle du véhicule par machine d’état. Cela permet de prévoir le comportement du véhicule dans ses différentes phases de vie et de définir les transitions entre ces différentes phases. Cette étape deprototypage virtuel est essentielle afin de vérifier en amont la fonctionnalité du véhicule et sa sécurité.Enfin, le cinquième et dernier chapitre est entièrement consacré à la caractérisation expérimentale du véhicule. Les différents fonctionnements thermiques, électriques et hybrides sont testés lors de vrais essais de roulage.En conclusion, le travail de thèse a abouti à la réalisation d’un véhicule hybride. Les approches de dimensionnement des sources et de modélisation sont ainsi validées, tout en faisant également la preuve de la faisabilité d’une chaine cinématique hybride électrique avec couplage par la route. / The exhaustion, increased cost and location of fossil fuels on the one hand, and the environmental problems caused by emissions of CO2 in the atmosphere on the other hand, are forcing many automotive manufactures to develop major research programs in the designof electric vehicles and hybrid electric. In this context, this thesis aims to test the feasibility ofan innovative hybrid drivetrain consisting of a vehicle from existing heat and reduce engine power while adding motors integrated into the wheels of the rear axle. This work was conducted as part of a project funded by ADEME and also in collaboration with the car manufacturer Aixam-MEGA.More specifically, the thesis has focused on the design of energy sources, energy modeling and functional vehicle and finally the implementation and experimental characterization of the vehicle.In the first chapter, the author develops a literature review on the existing hybrid electric vehicles. This allows then to introduce the innovative concept of hybrid drivetrain described above, based somewhat on a road coupling powers of thermal and electric propulsion.In the second chapter the author discusses the design of energy sources focusing on ultracapacitors. It offers an analytical approach simple calculation based on the tasks set by the manufacturer Aixam-MEGA. Modules selected ultracapacitors are then characterized experimentally (capacity, internal resistance, storage efficiency ...) taking into account the effect of temperature.The third and fourth chapters are devoted to the modeling of the vehicle. First, the third chapter discusses the modeling efficiency of the vehicle. The vehicle has been fully modeled using the formalism of Energetic Macroscopic Representation initially developed at the Laboratory of Electrical and Power Electronics of Lille. This model has led to the development of vehicle control. Then, in the fourth chapter, the author presents the functional modeling of the vehicle state machine. This allows predicting the behavior of the vehicle in its different life phases and defining the transitions between these phases. This stage of virtual prototyping is essential to verify the functionality of the upstream and vehicle safety.Finally, the fifth and final chapter is devoted to the experimental characterization of the vehicle. The different operations thermal, electric and hybrid are tested in real taxi trials.In conclusion, the thesis has led to the realization of a hybrid vehicle. The design approaches and modeling of sources and are validated, while also demonstrated the feasibility of a hybrid electric powertrain coupling the road.

M.Ing. / The increase in awareness of the environmental problems resulting from emissions released from vehicles have forced governments and car manufactures to invest more time in to the designing a vehicle that is an alternative to petrol driven vehicles. This dissertation aims to introduce a control strategy to manage the flow of energy of different power sources that may be found on a vehicle. Hybrid vehicles are a possible solution to reducing carbon emissions that play a part in global warming. In this dissertation, di erent hybrid vehicles are de ned and their components discussed in detail. The possibility of more than one energy source to power the vehicle introduces more exibility in terms of the drivetrain but this increases the complexity of the energy control management. The goal is to optimize the energy control management to reduce fuel consumption and therefore reduce emissions. Operating procedures for the various hybrid con gurations are discussed. Simulations of the Energy Management System of the hybrid electric vehicle are used to develop the control optimization algorithm. Various control optimization procedures are discussed. Satisfactory results from the simulations allow the implementation of the hybrid onto a platform entered into the South African Solar Challenge 2010, which covered a distance of 4000 km. The Energy Management system selected for the parallel hybrid electric vehicle demonstrated fuel savings, which meant a reduction in emissions, which is the goal of any hybrid vehicle. Further investigations include more intelligent controllers to adjust the parameters of the energy management controller to allow for adaptation to various driving conditions, e.g. urban and motorway driving.

Connected and Autonomous Vehicles (CAVs) benefit from both connectivity between vehicles and city infrastructures and automation of vehicles. In this respect, CAVs can improve safety and reduce traffic congestion and environmental impacts of daily commutes through making collaborative decisions. This dissertation studies how to reduce the energy consumption of vehicles and traffic congestion by making high-level routing decisions of CAVs. The first half of this dissertation considers the problem of eco-routing (finding the energy-optimal route) for Plug-In Hybrid Electric Vehicles (PHEVs) to minimize the overall energy consumption cost. Several algorithms are proposed that can simultaneously calculate an energy-optimal route (eco-route) for a PHEV and an optimal power-train control strategy over this route. The results show significant energy savings for PHEVs with a near real-time execution time for the algorithms. The second half of this dissertation tackles the problem of routing for fleets of CAVs in the presence of mixed traffic (coexistence of regular vehicles and CAVs). In this setting, all CAVs belong to the same fleet and can be routed using a centralized controller. The routing objective is to minimize a given overall fleet traveling cost (travel time or energy consumption). It is assumed that regular vehicles (non-CAVs) choose their routing decisions selfishly to minimize their traveling time. A framework is proposed that deals with the routing interaction between CAVs and regular uncontrolled vehicles under different penetration rates (fractions) of CAVs. The results suggest collaborative routing decisions of CAVs improve not only the cost of CAVs but also that of the non-CAVs. This framework is further extended to consider congestion-aware route-planning policies for Autonomous Mobility-on-Demand (AMoD) systems, whereby a fleet of autonomous vehicles provides on-demand mobility under mixed traffic conditions. A network flow model is devised to optimize the AMoD routing and rebalancing strategies in a congestion-aware fashion by accounting for the endogenous impact of AMoD flows on travel time. The results suggest that for high levels of demand, pure AMoD travel can be detrimental due to the additional traffic stemming from its rebalancing flows, while the combination of AMoD with walking or micromobility options can significantly improve the overall system performance.

Transportation is a primary pollution source contributing to 14 percent of global greenhouse gas emissions, and 12 percent of transportation emissions came from maritime activities. Emissions from the ferry industry, which carries roughly 2.1 billion passengers and 250 million vehicles annually, is a major concern for the general public due to their near-shore operations. Compared to the rapidly advancing clean automotive propulsion, fuel efficiency and emissions improvements for marine vessels are more urgent and beneficial due to the significantly higher petroleum fuel consumption and heavy pollutants and the relatively slow adoption of clean propulsion technology by the marine industry. Hybrid electric propulsion, proven to be effective for ground vehicles, presents a promising solution for more efficient clean marine transportation. Due to the diversified hull/propulsor design and operation cycle, the development of a hybrid electric marine propulsion system demands model-based design and control optimization for each unique and small batch production vessel. The integrated design and control optimization further require accurate and computation efficient hull resistance and propulsor thrust calculation methods that can be used to predict needed propulsion power and gauge vessel performance, energy efficiency, and emissions. This research focuses on improving the low-order empirical hull resistance and propulsor thrust models in the longitudinal direction by extracting model parameters from one-pass computational fluid dynamics (CFD) simulation and testing the acquired models in integrated design optimization of the marine propulsion system. The model is implemented in MATLAB/Simulink and ANSYS Aqwa and validated using operation data from BC Ferries’ ship Tachek. The modified low-order model (M-LOM) is then used in the integrated optimizations of propulsion system component sizes and operation control strategies for another BC Ferries’ ship, Skeena Queen. The performance, energy efficiency, and emissions of various propulsion options, including nature gas-mechanical and natural gas-electric benchmarks, and hybrid electric alternatives of series hybrid, parallel hybrid, and battery/pure electric are compared to demonstrate the benefits of the new method in completing these complex tasks and hybrid electric marine propulsion. The research forms the foundation for further studies to achieve more accurate propulsion demand prediction and a more comprehensive lifecycle cost assessment of clean marine propulsion solutions. / Graduate

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The thesis is focused on remitting lead-acid segments of partial charge mode which simulates the conditions in HEV. The experimental cells were submitted to different pressures on the electrode system. The main aim of the thesis was to minimize the irreversible sulphating of the negative electrodes, which are in the PSoC regime limiting in the overall life of lead-acid accumulators. All cells were submitted to measurement of the negative electrode potentials, resistance of active materials, contact resistance of the grid – the active material and measurements of pressure changes during three PSoC cycles.

This Master’s thesis deals with the issue of lead-acid batteries, which are used in hybrid electric vehicles. The lead-acid batteries works in mode PSoC. In this mode occurs to degradation mechanisms at negative electrodes. These degradation mechanisms reduce the battery life. The practical part of Master’s thesis describes the production and a compilation of experimental cells and experimental part examines the characteristics of lead-acid batteries with the pressure to the electrode system.

The future of aviation technology is transitioning to cleaner, more efficient and higher endurance aircraft solutions. As fully electric propulsion systems still fall short of the operational requirements of modern day aircraft, there is increasing pressure and demand for the aviation industry to explore alternatives to fossil fuel driven propulsion systems. The primary focus of this research is to experimentally evaluate hybrid electric propulsion systems (HEPS) for Unmanned Aerial Vehicles (UAV) which combine multiple power sources to improve performance. HEPS offer several potential benefits over more conventional propulsion systems such as a smaller environmental impact, lower fuel consumption, higher endurance and novel configurations through distributed propulsion. Advanced operating modes are also possible with HEPS, increasing the vehicle’s versatility and redundancy in case of power source failure. The primary objective of the research is to combine all of the components of a small-scale HEPS together in a modular test bench for evaluation. The test bench uses components sized for a small-scale UAV including a 2.34kW two-stroke 35cc engine and a 1.65kW brushless DC motor together with an ESC capable of regenerative braking. Individual components were first tested to characterize performance, and then all components were assembled together in a parallel configuration to observe system-level performance. The parallel HEPS is capable of functioning in the four required operating modes: EM Only, ICE Only, Dash Mode (combined EM and ICE power) as well as Regenerative Mode where the onboard batteries get recharged. Further, the test bench was implemented with a supervisory controller to optimize system performance and run each component in the most efficient region to achieve torque requirements programmed into mission profiles. The logic based controller operates with the ideal operating line (IOL) concept and is implemented with a custom LabView GUI. The system is able to run on electric power or ICE power interchangeably without making any modifications to the transmission as the one-way bearing assembly engages for whichever power source is rotating at the highest speed. The most impressive of these sets of tests is the Dash mode testing where the output torque of the propeller is supplied from both the EM and ICE. Working in tandem, it was proved that the EM was drawing 19.9A of current which corresponds to an estimated 0.57Nm additional torque to the propeller for a degree of hybridization of 49.91%. Finally, the regenerative braking mode was proven to be operational, capable of recharging the battery systems at 13A. All of these operating modes attest to the flexibility and convenience of having a hybrid-electric propulsion system. The results collected from the test bench were validated against the models created in the aircraft simulation framework. This framework was created in MATLAB to simulate the performance of a small UAV and compare the performance by swapping in various propulsion systems. The purpose of the framework is to make direct comparisons of HEPS performance for parallel and series architectures against conventional electric and gasoline configuration UAVs, and explore the trade-offs. Each aircraft variable in the framework was modelled parametrically so that parameter sweeps could be run to observe the impact on the aircraft’s performance. Finally, rather than comparing propulsion systems in steady-state, complex mission profiles were created that simulate real life applications for UAVs. With these experiments, it was possible to observe which propulsion configurations were best suited for each mission type, and provide engineers with information about the trade-offs or advantages of integrating hybrid-electric propulsion into UAV design. In the Pipeline Inspection mission, the exact payload capacities of each aircraft configuration could be observed in the fuel burn versus CL,cruise parameter sweep exercise. It was observed that the parallel HEPS configuration has an average of 3.52kg lower payload capacity for the 35kg aircraft (17.6%), but has a fuel consumption reduction of up to 26.1% compared to the gasoline aircraft configuration. In the LIDAR Data collection mission, the electric configuration could be suitable for collection ranges below 100km but suffers low LIDAR collection times. However, at 100km LIDAR collection range, the series HEPS has an endurance of 16hr and the parallel configuration has an endurance of 19hr. In the Interceptor mission, at 32kg TOW, the parallel HEPS configuration has an endurance/TOW of 1.3[hr/kg] compared to 1.15[hr/kg] for the gasoline aircraft. This result yields a 13% increase in endurance from 36.8hr for gasoline to 41.6hr for the parallel HEPS. Finally, in the Communications Relay mission, the gasoline configuration is recommended for all TOW above 28kg as it has the highest loiter endurance. / Graduate

No description available.