Engenharia Elétrica (UACSA)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/2922
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Estudo de métodos para o dimensionamento do sistema de armazenamento de energia de um veículo elétrico tipo fórmula(2024-03-05) Alves, Adriany Fabrícia Silva; Araújo, Marcel Ayres de; http://lattes.cnpq.br/0669410110930611; http://lattes.cnpq.br/3796261196279460Faced with the need to reduce carbon dioxide emissions and increasingly reduce the fleet of gasoline vehicles, among other petroleum derivatives, in an attempt to mitigate the damage caused by pollution to the environment, the implementation of Electric Vehicles (EVs). They are a general concept of means of transport that takes advantage of the electric motor as the traction actuator, and one of the main types of EVs are those that use batteries as an energy storage system, also known as BEVs (Battery Electric Vehicles). BEVs are considered a solution that has the potential to mitigate greenhouse gas emissions and reduce the use of oil in the transport sector, avoiding energy crises. EVs present a technological evolution of transforming electrical energy into movement, which consequently has increased interest in electric propulsion for automobiles in recent years. They are designed to be competitive in terms of cost-benefit with conventional vehicles in the coming years. Given its importance, this work addresses a significant context of growth in the battery electric vehicle fleet in Brazil, from its technological characteristics, challenges, potential problems and benefits, through its energy transmission system, and its operating dynamics. After the theoretical foundations and all bibliographical references researched, the main objective is to study the sizing of this storage system aimed at BEVs applied to a formula-type EV. As a result, this study developed a detailed methodology for sizing formula-type vehicle power, force and energy, based on an in-depth analysis of the electric vehicle routing problem, exploring its different variants and possible solution approaches. Next, proceed to sizing the battery pack using a series-parallel configuration used to supply the ordinary power. Finally, the battery selection was carried out through MCDA statistical analysis using the AHP-Gaussian and AHP-Gaussian with Pearson Correlation method, resulting in the choice of the SLPBA096235 cell as the discovered technology, which declared nominal values in agreement and compatible with the main specificities related to formula-type EVs for the scaled system.Item Modelagem de baterias de chumbo-ácido para sistemas de armazenamento de energia aplicáveis junto ao sistema elétrico de potência(2022-10-11) Lima, Yuri Chaves de; Araújo, Marcel Ayres de; http://lattes.cnpq.br/0669410110930611; http://lattes.cnpq.br/0669410110930611Energy storage systems have different forms and configurations, which can be electrical, thermal, energy resources or natural, which require an adequate mechanism for converting this stored energy. As it encompasses an extensive area of applications, studies of energy storage technologies have gained prominence, and their use in conjunction with the electrical system has intensified by making the supply of electrical energy more reliable, serving consumers more rationally. The increasing use of battery energy storage systems has driven new research on mathematical models representing the dynamic behavior of battery charge/discharge operation, with a focus on optimizing their energy resources. This work aims at the study and implementation of a mathematical model using computational tools to simulate the behavior of a lead-acid battery in view of the increasing insertion of energy storage together with distributed generation in the electrical system. Therefore, focusing on lead-acid batteries, mathematical models were researched taking into account their computational complexity, level of representativeness of the dynamic behavior of the battery, and accuracy of results. The Jackey model was selected because its equation was based on an electrical circuit aiming at the influence of fundamental parameters such as open circuit voltage, resistance, capacitance, battery charge state, and electrolyte temperature. From these computational implementations, as a result, the characteristic curves of the lead-acid battery were obtained, whose comparison with experimental curves presented an error smaller than 1%, evidencing the effectiveness of the method developed and implemented.