995 resultados para Vertical vehicle dynamics


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A densidade e a distribuição vertical da macrofauna do solo foram estudadas nas estações chuvosa e seca na região de Manaus, Estado do Amazonas, Brasil, sob três tipos de cobertura vegetal, em áreas de solo arenoso e de solo argiloso, durante dois anos. Os animais foram coletados manualmente de amostras de solo de 20 x 20 x 30 cm (= 12 litros), divididas em subamostras de 5 cm de espessura. O método mostrou-se pouco eficiente, principalmente para coleta de animais menores que 2 mm, por serem pouco visíveis a olho nu. Encontrou-se maior número de animais no solo arenoso que no solo argiloso. Os grupos mais bem representados foram cupins, formigas e minhocas. Fez-se comparação entre o número de indivíduos coletados na estação chuvosa e na estação seca, tendo sido encontrado mais macroinvertebrados nos estratos superiores (0-15 cm) na estação chuvosa que na estação seca, e em profundidades maiores (15-30 cm), eles foram mais abundantes na estação seca, principalmente cupins. Isto foi interpretado como evidência de migração vertical da macrofauna para os estratos superiores do solo na estação chuvosa e para o solo mineral na estação seca.

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The intensity of construction of foraging access holes by two leaf-litter feeding, soil- inhabiting termite species, Syntermes molestus and Syntermes spinosus, in a Central Amazonian rain forest, was observed on consecutive nights for two weeks. Between 11 and 48 nest entrances per m2 were counted. Interaction between the two species was intense; some entrance holes were overtaken by the larger species during the observations; however, both species coexist in the area. A calculated minimum of 35 entrances/m2 is built every year by both species, emphasizing the importance of soil-burrowing termites for soil structure, aeration and water regime.

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Electric Vehicles (EVs) have limited energy storage capacity and the maximum autonomy range is strongly dependent of the driver's behaviour. Due to the fact of that batteries cannot be recharged quickly during a journey, it is essential that a precise range prediction is available to the driver of the EV. With this information, it is possible to check if the desirable destination is achievable without a stop to charge the batteries, or even, if to reach the destination it is necessary to perform an optimized driving (e.g., cutting the air-conditioning, among others EV parameters). The outcome of this research work is the development of an Electric Vehicle Assistant (EVA). This is an application for mobile devices that will help users to take efficient decisions about route planning, charging management and energy efficiency. Therefore, it will contribute to foster EVs adoption as a new paradigm in the transportation sector.

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This paper proposes an on-board Electric Vehicle (EV) battery charger with enhanced Vehicle-to-Home (V2H) operation mode. For such purpose was adapted an on-board bidirectional battery charger prototype to allow the Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G) and V2H operation modes. Along the paper are presented the hardware topology and the control algorithms of this battery charger. The idea underlying to this paper is the operation of the on-board bidirectional battery charger as an energy backup system when occurs a power outages. For detecting the power outage were compared two strategies, one based on the half-cycle rms calculation of the power grid voltage, and another in the determination of the rms value based in a Kalman filter. The experimental results were obtained considering the on-board EV battery charger under the G2V, V2G, and V2H operation modes. The results show that the power outage detection is faster using a Kalman filter, up to 90% than the other strategy. This also enables a faster transition between operation modes when a power outage occurs.

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This paper presents the outcomes of a research work consisting in the development of an Electric Vehicle Assistant (EVA), which creates and stores a driver profile where are contained the driving behaviours related with the EV energy consumption, the EV battery charging information, and the performed routes. This is an application for mobile devices that is able to passively track the driver behaviour and to access several information related with the EV in real time. It is also proposed a range prediction approach based on probability to take into account unpredictable effects of personal driving style, traffic or weather.

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This paper presents a mobile information system denominated as Vehicle-to-Anything Application (V2Anything App), and explains its conceptual aspects. This application is aimed at giving relevant information to Full Electric Vehicle (FEV) drivers, by supporting the integration of several sources of data in a mobile application, thus contributing to the deployment of the electric mobility process. The V2Anything App provides recommendations to the drivers about the FEV range autonomy, location of battery charging stations, information of the electricity market, and also a route planner taking into account public transportations and car or bike sharing systems. The main contributions of this application are related with the creation of an Information and Communication Technology (ICT) platform, recommender systems, data integration systems, driver profile, and personalized range prediction. Thus, it is possible to deliver relevant information to the FEV drivers related with the electric mobility process, electricity market, public transportation, and the FEV performance.

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This paper proposes a smart battery charging strategy for Electric Vehicles (EVs) targeting the future smart homes. The proposed strategy consists in regulate the EV battery charging current in function of the total home current, aiming to prevent overcurrent trips in the main switch breaker. Computational and experimental results were obtained under real-time conditions to validate the proposed strategy. For such purpose was adapted a bidirectional EV battery charger prototype to operate in accordance with the aforementioned strategy. The proposed strategy was validated through experimental results obtained both in steady and transient states. The results show the correct operation of the EV battery charger even under heavy load variations.

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Between 1991 and 1995 aquatic macrophyte composition was observed in the lower part of the reservoir of the hydroelectric power plant of Balbina (Amazonas, Brazil). After closure of the dam in 1987, vegetation cover - mostly Eichhornia crassipes - was high, but was not quantified. After 1990 it declined rapidly with a characteristic succession pattern: Eichhornia ® Vincularia + Cyperaceae ® Salvinia. The Cyperaceae, and many other less dominant species, were mostly associated with drift wood, produced by the decomposing, emergent forest. Comparison of the chemical data of the Uatumã river before the construction of the dam (1983) with those of later years (1989 - 1995) suggests that the succession was the result of a relatively mild and short period of eutrophication, followed by declining nutrient levels. Annual variation of water levels, followed by aquatic and terrestrial decomposition of the marginal vegetation, may allow for the maintenance of relatively productive vegetation belts along the shore lines of islands and inundated stream valleys.

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This paper presents the conversion process of a traditional Internal Combustion Engine vehicle into an Electric Vehicle. The main constitutive elements of the Electric Vehicle are presented. The developed powertrain uses a three-phase inverter with Field Oriented Control and space vector modulation. The developed on-board batteries charging system can operate in Grid-to-Vehicle and Vehicle-to-Grid modes. The implemented prototypes were tested, and experimental results are presented. The assembly of these prototypes in the vehicle was made in accordance with the Portuguese legislation about vehicles conversion, and the main adopted solutions are presented.

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The selective collection of municipal solid waste for recycling is a very complex and expensive process, where a major issue is to perform cost-efficient waste collection routes. Despite the abundance of commercially available software for fleet management, they often lack the capability to deal properly with sequencing problems and dynamic revision of plans and schedules during process execution. Our approach to achieve better solutions for the waste collection process is to model it as a vehicle routing problem, more specifically as a team orienteering problem where capacity constraints on the vehicles are considered, as well as time windows for the waste collection points and for the vehicles. The final model is called capacitated team orienteering problem with double time windows (CTOPdTW).We developed a genetic algorithm to solve routing problems in waste collection modelled as a CTOPdTW. The results achieved suggest possible reductions of logistic costs in selective waste collection.

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A atenuação de radiação solar em meio vegetal e sua relação com a distribuição espacial dos elementos vegetais são estudadas neste trabalho. Técnicas experimentais de amostragem de radiação no interior de coberturas vegetais de grande porte são utilizadas, tendo como base dispositivos de suporte móveis constituídos por reticulados modulares suspensos na parte superior das grandes árvores, que permitem a disposição dos sensores de radiação em diferentes níveis de uma mesma vertical no interior da cobertura. As medidas de radiação solar foram realizadas no sítio experimental da Reserva Florestal Jaru (10°05' S; 61°55' W), Ji-Paraná - Brasil, no período de 30 de outubro a 24 de novembro de 1999. A inversão de modelo físico de radiação permitiu o estabelecimento da função de densidade de área foliar com um valor médio de índice de área foliar IAF de 5,6 para a vegetação do local.

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One of the most popular approaches to path planning and control is the potential field method. This method is particularly attractive because it is suitable for on-line feedback control. In this approach the gradient of a potential field is used to generate the robot's trajectory. Thus, the path is generated by the transient solutions of a dynamical system. On the other hand, in the nonlinear attractor dynamic approach the path is generated by a sequence of attractor solutions. This way the transient solutions of the potential field method are replaced by a sequence of attractor solutions (i.e., asymptotically stable states) of a dynamical system. We discuss at a theoretical level some of the main differences of these two approaches.

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This paper presents the development of na on-board bidirectional battery charger for Electric Vehicles (EVs) targeting Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), and Vehicle-to-Home (V2H) technologies. During the G2V operation mode the batteries are charged from the power grid with sinusoidal current and unitary power factor. During the V2G operation mode the energy stored in the batteries can be delivered back to the power grid contributing to the power system stability. In the V2H operation mode the energy stored in the batteries can be used to supply home loads during power outages, or to supply loads in places without connection to the power grid. Along the paper the hardware topology of the bidirectional battery charger is presented and the control algorithms are explained. Some considerations about the sizing of the AC side passive filter are taken into account in order to improve the performance in the three operation modes. The adopted topology and control algorithms are accessed through computer simulations and validated by experimental results achieved with a developed laboratory prototype operating in the different scenarios.

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Tese de Doutoramento - Leaders for Technical Industries (LTI) - MIT Portugal

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Neste estudo, a distribuição vertical de área foliar em floresta é investigada em conexão com o regime de radiação, usando as medidas de radiação solar realizadas no período de julho a novembro de 2001, na Reserva Biológica do Cuieiras - Manaus ZF2, km 14 e km 34, na Amazônia Central. Técnicas experimentais de amostragem de radiação no interior de coberturas vegetais de grande porte são utilizadas, com dispositivos de suporte móveis constituídos por reticulados modulares, que permitem a disposição dos sensores de radiação em diferentes níveis de uma mesma vertical no interior da cobertura. Inversão de modelos radiativos em coberturas vegetais densas permite as análises sobre a distribuição vertical de área foliar. A variabilidade espacial de área foliar (IAF, função a(z)) é estabelecida para os dois sítios experimentais a partir de medidas de radiação solar, individualizadas em três verticais em cada um desses locais. O índice de área foliar total médio (IAF) da vegetação local para o sítio experimental do km 14 alcançou o valor de 6,4 e para o sítio experimental do km 34 o valor de 6,1. Uma análise comparativa é desenvolvida sobre distribuições verticais de área foliar obtidas em sítios experimentais da Amazônia, usando o mesmo sistema de medidas de radiação solar.