Research On Adaptive Energy Management Of Fuel-Cell Hybrid Electric Vehicle

Proton exchange membrane fuel cell (PEMFC) is a green and reproducible energy, now it is widely used as removable power because of its excellent characters, such as low working temperature, low noise, high efficiency etc, and a Multi-energy Power System made up of Fuel-cell and auxiliary energy has become a new research direction of the automotive technology. In this paper, a stable, reliable, economical and high-efficiency energy management based on optimized distribution between multi-energy has been given to improve the performance of Fuel-cell Hybrid Electric Vehicle (FHEV).Firstly the characteristics of main power PEMFC and auxiliary energy are analyzed to determine the hybrid power system which is made up of PEMFC and Ultra-capacitor. PEMFC has a long time power supply and high-efficiency character, Ultra-capacitor has a fast power response and easy energy feedback feature, so PEMFC's high specific energy combines with Ultra-capacitor's high specific power, this energy structure has realized the complementary advantages of Multi-energy. Then the parameters of the energy system are given to match the design.For reasonable energy distribution, an adaptive optimization energy management is used by compare and analysis traditional control strategy. On the one hand, the adaptive control strategy can make the Ultra-capacitor play the role of energy buffer, no overcharge and no over discharge; On the other hand, the strategy can also effectively protect PEMFC, make sure PEMFC working in the efficient area and no appearing instantaneous big power fluctuation as much as possible. Then, using MATLAB/Simulink/SimPowerSystems tools, a simulation model of the system is built to verify validity and feasibility of the energy management strategy. This model mainly includes a dynamic simulation model of PEMFC, a dynamic equivalent circuit model of Ultra-capacitor, a Buck-Boost bidirectional DC/DC model, a two quadrant DC motor model and an energy management strategy model. The simulation result shows that the energy management system has achieved the desired control objectives.Finally, using the golf electric car as the experimental vehicle, hardware design and software implementation of the energy management system are realized in the clean Energy Laboratory, Temasek Polytechnic, Singapore. The experimental data verifies that the energy management system is correct and practicable.