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Model predictive control of a hybrid fuel cell and battery power system

Abstract

This paper considers optimal operation of an hybrid powered energy system. The two power sources include a direct methanol fuel cell and a lithium-ion battery. A portable system represented by characteristic dynamic load profiles is considered as the consumer. A PI and a nonlinear model predictive control algorithm have been investigated and compared in terms of efficiency and robustness of operation.

Category

Academic lecture

Language

English

Author(s)

Affiliation

  • Unknown
  • SINTEF Digital / Mathematics and Cybernetics

Presented at

8th IFAC Symposium on Advanced Control of Chemical Processes

Place

Singapore

Date

10.07.2012 - 13.10.2012

Organizer

The International Federation of Automatic Control

Year

2012

View this publication at Cristin