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Optimization of energy storage and the power management using artificial neural networks

Grant number: 21/14026-8
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): August 01, 2022
Effective date (End): February 28, 2026
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Ludmila Corrêa de Alkmin e Silva
Grantee:Matheus Henrique Rodrigues Miranda
Host Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


To provide the development of new technologies aimed at mobility, the need to understand the dynamic behavior of the systems, and components of the vehicle arises, such as the energy storage system and power management. The focuses of this research are the application of machine learning techniques, specifically the artificial neural networks method, to develop an energy storage model suitable for mainly electric vehicles. In addition, we have the development of a strategy for power management, using artificial neural networks, enabling the adequacy of power division for different driving conditions. The combination of longitudinal and lateral dynamics has the most influence on vehicle performance. Therefore, the planar dynamics need to be considered in the power management strategy. To develop these models an extensive literature survey must be conducted on the development and implementation of artificial neural networks, the energy storage system, strategies for power management, and the modeling of the vehicle's planar dynamics. Therefore, this work aims to contribute to the development of the mathematical model of a vehicle energy storage system suitable for the application conditions, which is often disregarded. This model aims to increase the lifetime of this component and the autonomy of the vehicle. Furthermore, a power management system that encompasses this energy system and acts in real-time is proposed, ensuring the greatest efficiency of the vehicle's propulsion system. (AU)

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