Research On Design And Optimization Of Power System Of Fuel Cell/Battery Hybrid Vehicle

With the rapid development of automobile industry and the growth of cars,diminishing global oil resources and environmental pollution problems are increasinglyprominent. Governments around the world begin to invest a lot of manpower, materialsand financial in researching and developing hybrid vehicles, pure electric vehicles andother new energy vehicles which is aimed at saving energy and protecting environment.The electric vehicle which is regarded as a kind of energy-saving, ideal "zeroemissions" transportation is rightly widespread concerned and valued, and in thedevelopment of automobile industry it plays an increasingly important role.Fuel cell electric vehicle (FCEV) is provided by fuel cell power source, mainlyhydrogen fuel type is given priority to in practical applications. It has many advantagessuch as “no pollution”,“zero emissions”,“rich hydrogen resources”,“widely methodsfor manufacturing” and so on. Compared with the traditional internal combustionengine, fuel conversion efficiency of the proton exchange membrane fuel cell was highas60%~70%and it represents the development direction of new energy vehicles. Thedevelopment of fuel cell vehicle should be put in the first place in the “863plan” inChina. First, five different structures of fuel cell power system are introduced in thispaper.The fuel cell and battery hybrid vehicle is the main research object and a1500kglight bus is set as an example. First the design and selection of several key componentsin power system had been finished. The fuel cell type is decided by using protonexchange membrane fuel cell.The type of driving motor is chosen as asynchronous ACmotor. The auxiliary power source was chosen as phosphate iron lithium-ion battery.Then the design of driving motor parameters including power, torque and rotationalspeed were completed. The output power of fuel cell and the power and capacity of the battery were determined.Finally, the control strategy of the four parameters was optimized through thegenetic algorithm, including the battery’s lowest SOC expected value and highest SOCexpected value, fuel cell’s minimum and maximum working power coefficient. Theoptimized parameters were picked out after the genetic iterations. Then the new result offuel consumption value was got after the simulation in ADVISOR. Compared to the fuel consumption value of original vehicle’s design parameters in the simulation, theoptimized vehicle fuel economy improved and at the same time the dynamicperformance changed little.