Quan Shuhai

Multiple model control for hybrid power system of Fuel Cell Electric Vehicle

Fuel Cell Electric Vehicle has a very good application foreground for it has some advantages, such as high efficiency and little emission, etc. In order to characterize the structure of hybrid power system for Fuel Cell Electric Vehicle, the project of parallel hybrid power system was brought forward, which consisted of Fuel Cell, NIH battery and DC/DC converter, and besides, the power flow chart of hybrid power system and energy management objective was especially analyzed. The issue for energy management of hybrid power system was converted to combinatorial optimization problem. The power flow chart of hybrid power system was analyzed in start-up mode, accelerating mode, cruising mode and braking mode and the respective control strategy of various mode was designed. The dynamic control and energy management strategy was designed by applying multi model control method based on fuzzy supervised rule, being differ from conventional compulsive switch strategy. In the end, the simulation results were presented, which show the effectiveness of the control strategy, for it can improve economy performance of vehicles in comparison with fuzzy control strategy.

Heat Management Research of a PEMFC System

The maintenance of the heat balance is the key technology to improve the performance and the efficiency of the PEMFC. The all-coefficient adaptive control methodology was developed to implement the heat management model of the PEMFC in this paper. The all-coefficient adaptive control has assimilated the advantages of the self-tuning control and the model reference adaptive control. With this methodology, the temperature of the PEMFC can be controlled between 62.5°C to 63.5°C when it operates at 50KW.

A design of differential decoupling phase-locked loop for unbalanced power systems

Aiming at unbalanced three-phase power grid voltage, traditional phase locked loop was not able to restrain the negative sequence component in unbalanced grid voltage, which led to the poor accuracy of phase. Based on the traditional three-phase software phase locked loop model, the paper proposed a design of differential decoupling phase-locked loop. Through differential decoupling algorithm, the positive sequence component could be extracted from the unbalanced voltage. By this way, the ability of three phase software phase locked loop to resist unbalanced voltage had been improved. In Matlab, the improved software phase-locked loop was simulated. Compared with the traditional phase locked loop, the differential decoupling phase-locked loop was not only able to track the phase of grid voltage unbalance accurately without delay, but had excellent dynamic phase tracking performance.

Fuzzy Logic Control of Air Supply System in PEMFC for Electric Vehicles

It puts forward a fuzzy logic control of air supply system for electric vehicles which are driven by proton exchange membrane fuel cell (PEMFC). By analyzing and counting air consumed in PEMFC according to electric vehiclespsila output power basing dynamic air supply system model, it adjusts motor rotate speed to make air flux change with load so that PEMFC works in high efficient and economic state. And fuzzy logic control is applied for air compressor motor adopts brushless DC motor (BLDCM) which runs in nonlinearity. The result of simulation shows that fuzzy logic control can adjust motor speed smoothly and rapidly.