Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System

This paper introduces an energy management strategy based on fuzzy logic supervisory for road electric vehicle, combining a fuel cell power source and two energy storage devices, i.e., batteries and ultracapacitors. The control strategy is designed to achieve the high-efficiency operation region of...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2008-01, Vol.23 (1), p.107-115
Main Authors: Ferreira, A.A., Pomilio, J.A., Spiazzi, G., de Araujo Silva, L.
Format: Article
Language:English
Subjects:
Applied sciences
Batteries
Converters
Devices
Electric power
Electric power generation
Electric vehicles
Electrical engineering. Electrical power engineering
Electrical power engineering
Electronic equipment and fabrication. Passive components, printed wiring boards, connectics
Electronics
Energy management
Energy storage
Exact sciences and technology
Fuel cells
Fuzzy logic
Ground, air and sea transportation, marine construction
Loops
Operation. Load control. Reliability
Power electronics
Power electronics, power supplies
Power networks and lines
Power sources
Power supplies
Road transportation and traffic
road vehicles
Roads
Simulation
Strategy
Supercapacitors
ultracapacitor
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Summary:This paper introduces an energy management strategy based on fuzzy logic supervisory for road electric vehicle, combining a fuel cell power source and two energy storage devices, i.e., batteries and ultracapacitors. The control strategy is designed to achieve the high-efficiency operation region of the individual power source and to regulate current and voltage at peak and average power demand, without compromising the performance and efficiency of the overall system. A multiple-input power electronic converter makes the interface among generator, energy storage devices, and the voltage dc-link bus. Classical regulators implement the control loops of each input of the converter. The supervisory system coordinates the power flows among the power sources and the load. The paper is mainly focused on the fuzzy logic supervisory for energy management of a specific power electronic converter control algorithm. Nevertheless, the proposed system can be easily adapted to other converters arrangements or to distributed generation applications. Simulation and experimental results on a 3-kW prototype prove that the fuzzy logic is a suitable energy management control strategy.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2007.911799