A control allocation approach to manage multiple energy sources in EVs

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Ricardo de Castro (Autor) FEUP; Pedro Melo (Autor) FEUP; Pedro Pacheco (Autor) FEUP; Rui Esteves Araújo (Autor) FEUP; Diamantino Freitas (Autor) FEUP

Ata de Conferência Internacional

Título: 2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011

Páginas: 1-6

Indexação

ISI Proceedings

Scopus - 6 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrónica ; Ciências Tecnológicas > Tecnologia > Tecnologia energética > Sistemas de energia híbridos

Outras Informações

ID Authenticus: P-008-0Z6

DOI: 10.1109/vppc.2011.6043190

Abstract (EN): This article is concerned with the design of an energy management system (EMS) for the hybridization of multiple energy sources (ES's) in electric vehicles, focusing in a particular configuration composed by batteries and supercapacitors (SCs). As a first design step, we investigated an (non-causal) optimal power allocation, targeting the minimization of the energy losses over a complete driving cycle. Albeit the solution obtained with this formulation demands the advance knowledge of the vehicle driving cycle, it also provides a useful benchmark solution to assess the performance of causal EMS's. A more practical EMS is then derived, based on the control allocation (CA) concept. This approach, typically employed in redundant control systems, enable us to address the various objectives and constraints that appear in EMS design problem, such as the DC bus voltage regulation, SC state of charge tracking, minimization of power losses, current and state of charge limits, etc. Simulation results show the effectiveness of the proposed CA based EMS, yielding performances very close to the optimal non-causal power allocation. © 2011 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6