31 resultados para driver comprehension
em Universidade do Minho
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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 an on-board bidirectional battery charger for Electric Vehicles (EVs), which operates in three different modes: Grid-to- Vehicle (G2V), Vehicle-to-Grid (V2G), and Vehicle-to-Home (V2H). Through these three operation modes, using bidirectional communications based on Information and Communication Technologies (ICT), it will be possible to exchange data between the EV driver and the future smart grids. This collaboration with the smart grids will strengthen the collective awareness systems, contributing to solve and organize issues related with energy resources and power grids. This paper presents the preliminary studies that results from a PhD work related with bidirectional battery chargers for EVs. Thus, in this paper is described the topology of the on-board bidirectional battery charger and the control algorithms for the three operation modes. To validate the topology it was developed a laboratory prototype, and were obtained experimental results for the three operation modes.
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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 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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Dissertação de mestrado em Educação Especial (área de especialização em Dificuldades de Aprendizagem Específicas)
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Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico
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Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico
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Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico
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Dissertação de Mestrado em Engenharia Informática
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Dissertação de Mestrado em Engenharia Informática
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Tese de Doutoramento - Civil Engineering
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O Validador RCAAP é uma ferramenta desenvolvida no âmbito do projeto RCAAP – Repositório Científico de Acesso Aberto de Portugal com o objetivo de aferir o grau de conformidade de um repositório ou revista com as diretrizes definidas no campo de ação do projeto. Apesar da aplicação de normas padronizadas, como o Dublin Corei e o OAI-PMHii, as representações locais comprometem, muitas vezes, a qualidade dos metadados e a interoperabilidade técnica. No âmbito do projeto RCAAP utilizam-se as diretrizes DRIVER como o padrão de interoperabilidade dos repositórios portugueses. Para além de assegurarem a necessária uniformização entre os repositórios e revistas integrantes do RCAAP, garantem e facilitam a integração e a interoperabilidade. Esta apresentação pretende expor as características e objetivos do Validador RCAAP e destacar os desenvolvimentos da segunda versão desta ferramenta, que oferece aos gestores de repositórios e revistas um serviço capaz de promover a qualidade e harmonia dos metadados, permitindo a interoperabilidade à escala nacional ou internacional.
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Dissertação de mestrado integrado em Engenharia Mecânica
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Dissertação de mestrado em Negócios Internacionais
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Este artigo relata uma intervenção pedagógica levada a cabo junto de alunos do 4º ano de escolaridade do Ensino Básico, em Portugal, com dois objetivos: (1) desenvolver competências literácitas, especificamente ao nível da leitura e compreensão leitora; e (2) construir o conhecimento histórico, recorrendo a obras de literatura infanto-juvenil que recriam eventos históricos. O referencial teórico baseou-se quer no conceito de Content Area Literacy (MOSS, 2005; BROZO, 2010), quer no Programa de Leitura Fundamentado na Literatura (YOOP; YOOP, 2006).