Dual Fuzzy Energy Control Study of Automotive Fuel Cell Hybrid Power System with Three Energy Sources

Abstract

A dual fuzzy control strategy is proposed for the complex energy management problem in a multi-energy-source hybrid power system vehicle with fuel cell + Li-ion battery + super capacitor. According to the efficiency characteristic of each energy source in a fuel cell hybrid power system (referred to as FCHPS), a control scheme with a dual fuzzy control strategy is devised, in which the main fuzzy controller controls the fuel cell to ensure its power output. It is controlled by a sub-fuzzy controller that regulates the power output and braking energy recovery of the Li-ion battery and super capacitor. Simulation verification and comparative analysis were carried out under a world light vehicle test cycle (referred to as WLTC) conditions using MATLAB+ADVISOR. With a dual fuzzy control strategy, fuel cell hybrid vehicles meet dynamics requirements and the fuel economy of these vehicles is generally 6.7% and 6.4% better than power following control and single fuzzy control, respectively. Li-ion batteries are also capable of handling reduced average currents.

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

“…Such controls' main philosophy is to utilize the combination of qualitative and quantitative methods to deal with the complex information of the controlled plant autonomously so as to make decisions and finally achieve the purpose of controlling the plant. There have already been many applications that employ FC algorithms on fuel cell systems, such as energy management [20,21], modeling [22][23][24], fault diagnosis [25,26], and so on. Fuzzy logic techniques are also widely used to control the crucial physical variables.…”