Diseño De Algoritmo De Control Mediante Aprendizaje Por Refuerzo Usando Matlab, Para Estaciones De Carga Rápida (36 Kw, 400 V) De Vehículos Eléctricos

This thesis presents the design of a control algorithm based on deep reinforcement learning, aimed at regulating the output voltage of a Boost-Boost power converter. This converter will be powered by a simulated solar panel array, applied to fast charging for electric vehicles. For the project devel...

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Detalles Bibliográficos
Autor principal:	Peralta Guzman, Diego
Otros Autores:	Erazo Ordoñez, Christian Camilo
Formato:	Tesis/Trabajo de grado - Monografía - Pregrado
Lenguaje:	Español
Publicado:	Universidad Antonio Nariño 2025
Materias:	Aprendizaje por refuerzo profundo Carga rápida Convertidor doblador Boost Paneles solares Deep reinforcement learning fast charging Boost-Boost converter solar panels
Acceso en línea:	https://repositorio.uan.edu.co/handle/123456789/12184
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Sumario:	This thesis presents the design of a control algorithm based on deep reinforcement learning, aimed at regulating the output voltage of a Boost-Boost power converter. This converter will be powered by a simulated solar panel array, applied to fast charging for electric vehicles. For the project development, the Matlab platform was used, where a complete simulation environment was designed, enabling the integration of all necessary components and blocks for the system’s implementation.