Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles

• Published in: IEEE transactions on industrial informatics Vol. 14; no. 1; pp. 292 - 300
• Main Authors: Chen, Jian, Xu, Chenfeng, Wu, Chengshuai, Xu, Weihua
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Automobile industry; Batteries; Control systems design; DC-DC power converters; Driving conditions; Electric vehicles; Energy management; fuel cell battery hybrid system; Fuel cells; Fuzzy control; Fuzzy logic; fuzzy logic control; Fuzzy systems; Hybrid power systems; Hybrid systems; Hybrid vehicles; Informatics; Lithium-ion batteries; Power flow; power management; State of charge; System effectiveness; Vehicles
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2016.2618886

In this paper, we propose an adaptive control approach with fuzzy logic parameter tuning (AFLPT) for the energy management of electric vehicles that are using fuel cell battery hybrid systems. The controller is adaptive to different driving conditions including normal, regenerative, and overload conditions. Specifically, the power flow between the fuel cell (FC) and the Li-ion battery is controlled in real time to maintain the battery state of charge (SOC) at a desirable level while satisfying the FC dynamic constraints. For guaranteeing performance in different driving conditions, the FLPT is integrated with the adaptive controller. Moreover, theoretical properties of the designed controller are analyzed. Simulation and experiment results illustrate the effectiveness of the proposed strategy for FC-battery hybrid systems in electric vehicles.