Modeling and Intelligent Control of a Dual Active Bridge Converter Applied to Electric Vehicles

• Grant number: 24/06698-4
• Support Opportunities: Scholarships in Brazil - Master
• Start date: December 01, 2024
• End date: February 28, 2026
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Augusto Matheus dos Santos Alonso
• Grantee: Luana Hikari Takahama Acioli
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

The concept of vehicle electrification has been taken as one of the main solutions to overcome the problem related to the emission of carbon dioxide by transport systems. Particularly, electric vehicles that integrate battery banks and have the ability to perform bidirectional energy management with the electrical grid have stood out, becoming promising systems in the search for greater sustainability in the transport sector. However, to develop efficient electric vehicles with high energy controllability, it is essential that topologies and control approaches for electronic power converters (PECs) are investigated. This project has the goals of carring out a detailed study on the model of a promising PEC topology, namely dual active bridge (DAB), aiming to determine its state equations and mathematical terms which make it possible to flexibly and bidirectionally control its power flow. Furthermore, considering that intelligent systems are increasingly present in vehicle technological development, this project proposes the study of a control strategy based on artificial intelligence (particularly fuzzy logic), in order to make it possible to improve the controllability of the DAB converter, as well as the its dynamic response, considering its integrated operation with battery banks. It is expected that theoretical studies will be carried out, as well as investigations through computer simulations and verifications in a real-time system, making it possible to evaluate how such a converter and control approach behave in realistic conditions. Therefore, this project aims to contribute to the state of the art of PECs applied to electric vehicles, also contributing to the student's training in the areas of power electronics, modern electrical systems and intelligent energy systems.