Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System

• 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)
• 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; 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
• ISSN: 0885-8993; 1941-0107
• DOI: 10.1109/TPEL.2007.911799

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.