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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Published in:IEEE transactions on power electronics Vol. 23; no. 1; pp. 107 - 115
Main Authors: Ferreira, A.A., Pomilio, J.A., Spiazzi, G., de Araujo Silva, L.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-01-2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract 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.
AbstractList 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.
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. [PUBLICATION ABSTRACT]
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 [abstract truncated by publisher].
Author Spiazzi, G.
de Araujo Silva, L.
Pomilio, J.A.
Ferreira, A.A.
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  surname: de Araujo Silva
  fullname: de Araujo Silva, L.
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10.1109/TPEL.2004.839782
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Issue 1
Keywords Performance evaluation
Motor car
Power converter
Electric energy transportation
Input signal
Control synthesis
Power supply
Electric vehicle
road vehicles
Electric power
Supercapacitor
fuel cells
Peak power
Fuel cell
Power demand
Interface energy
Road vehicle
Control system
Storage system
Secondary cell
Power electronics
ultracapacitor
Fuzzy logic
Interconnection
High efficiency
Integrated circuit
Electric power production
Energy management
Energy storage
Power transmission line
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Snippet This paper introduces an energy management strategy based on fuzzy logic supervisory for road electric vehicle, combining a fuel cell power source and two...
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SubjectTerms 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
Title Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System
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