Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Charging EV station forecasting and location model for Mexico’s private sector(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06-13) Hernández Salazar, Aldo; Ríos Solís, Yasmín Águeda; emimmayorquin; Jacobo Romero, Yulitza Yazmin; Shcool of Engineering and Sciences; Campus Monterrey; Probst, OliverThe decarbonization of the transport sector is critical for addressing climate change, with electric vehicles (EV) representing a pivotal solution. This thesis focuses on forecasting EV adoption and optimizing charging stations’ location in Mexico’s private sector. The study examines relevant national and international regulations and existing EV adoption models through a comprehensive literature review. Data collection incorporates national statistics, energy consumption records, and market reports on EV sales and adoption rates. Using statistical methods, the research develops multiple scenarios for EV adoption up to 2030. A mixed integer programming model is then constructed to maximize the profitability of charging station placements, considering constraints such as budget, parking availability, and electrical capacity. A detailed case study with anonymized data from Iberdrola’s clients is conducted, simulating the model to determine optimal charging station locations and configurations. The results provide valuable insights into the infrastructure needed to support the transition to EVs in Mexico, offering strategic recommendations for stakeholders. The study concludes with suggestions for future research, emphasizing the importance of real-time data and expanding the analysis to public charging infrastructure. This work aims to contribute significantly to Mexico’s sustainable energy transition and develop an efficient, widespread EV charging network.
- Model based controller for an Integrated On-Board Charger for EV(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023) González Rodríguez, Pedro Samuel; Gonzalez Hernandez, Hugo Gustavo; emimmayorquin; Flores Quintero, Roberto Rafael; School of Engineering and Sciences; Campus Ciudad de México; Escobar Valderrama,GerardoThis work presents the modeling by average model and simulation of a integrated onboard charger (iOBC) in electric vehicles (EVs). The primary objective was to develop an average model of the iOBC, then confirm by simulation in MATLAB/Simulink and Simscape. The simulations make significant insights to design and evaluate the control strategy and the interaction between controllers and physical components. The simulations revealed that the iOBC operates correctly under different conditions: for a 400V 48Ah battery pack with a 220V 60Hz power supply and for a 60V 105Ah battery pack with a 120V 60Hz supply. Which, the methodology test evaluate with the same controller gain values, demonstrating the robustness of the control strategy. The results validation of the average model developed is a key tool for assessing iOBC controllers by real operating conditions, contributing significantly to the foundation iOBCs for EVs.