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Development of a low-voltage hybrid storage system with GaN FET converter

Mohamad Khalife

Development of a low-voltage hybrid storage system with GaN FET converter.

Rel. Salvatore Musumeci, Luigi Solimene. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024

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Abstract:

This thesis presents the development of a low voltage storage system utilizing a Gallium Nitride (GaN) Field-Effect Transistor (FET) converter. The primary objective is to design a hybrid energy storage system (HESS) that integrates a supercapacitor and a lithium-ion battery to efficiently manage power distribution between these components. The system aims to leverage the high power density of supercapacitors and the high energy density of lithium-ion batteries to optimize performance during both charging and discharging cycles. The project employs PLECS software to model and simulate the behavior of the HESS. The PLECS environment allows for detailed analysis and optimization of the power management system, ensuring efficient energy transfer and storage. Additionally, MATLAB Simulink is used to support the integration of the HESS model, providing a robust platform for simulation and verification of the control strategies developed. Throughout this research, key focus areas include the design and implementation of control algorithms for power management, thermal management of the GaN FET converter, and the overall efficiency and reliability of the hybrid storage system. The findings demonstrate significant improvements in power efficiency and system stability, highlighting the potential of GaN FET technology in low voltage storage applications. The outcomes of this thesis contribute to the advancement of energy storage solutions, offering valuable insights into the practical application of hybrid storage systems and GaN FET converters in modern power management scenarios.

Relatori: Salvatore Musumeci, Luigi Solimene
Anno accademico: 2024/25
Tipo di pubblicazione: Elettronica
Numero di pagine: 80
Soggetti:
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-25 - INGEGNERIA DELL'AUTOMAZIONE
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/33064
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