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Thursday, November 4, 2010

Fuel cell electric vehicle power system parameter matching and optimization

Development of fuel cell electric vehicle is to solve the current energy shortage and environmental pollution is one effective technical approach. To improve the efficiency of power system as the goal, of multi-energy method of power system optimization, building from the fuel cell components and auxiliary electrical power source - electric hybrid power systems, fuel cell vehicle development has become a key technology. In this paper, fuel cell electric vehicle system design for the study, to fuel cell electric vehicles, hybrid electric power system parameter optimization focus of a lightweight fuel cell bus power system matching and optimization of the parameters, the main course of the study and the results are as follows: (1) First, review the fuel cell electric vehicle power system parameter matching and optimization studies, which mainly summarizes the parameter matching and optimization of hybrid methods that enhance fuel cell hybrid electric vehicle electric power system matching and optimization research is to improve the power efficiency of the system an effective way. (2) comparative analysis of the fuel cell electric vehicle power system configuration, obtained indirectly, the structure of fuel cell hybrid system is more suitable for fuel cell electric vehicles. Optimization of the hybrid system configuration under the basic principle, the two indirect fuel cell hybrid system architecture (FC B, FC BC) were analyzed. Based on the typical characteristics of vehicles and fuel cell power source for hybrid system analysis of technical points, with a bus the technical parameters of the original model to determine the fuel cell system and lithium iron phosphate group of the hybrid power system programs. (3) fuel cell hybrid power system for the parameter design problem, the proposed hybrid system of electric power mixed with the concept, and vehicle dynamics theory, the design of hybrid power system parameters into the design of mixed degrees problem, get a fuel cell hybrid systems with mixed degree of design methods, based on the degree of the fuel cell hybrid electric vehicle power system design parameters, determine the total power of the power source, mixed boundary value and the degree of motor parameters. (4) According to the fuel cell hybrid power system optimization problems, established a dynamic vehicle for the constraints to optimize the fuel economy target for the non-linear mathematical model to determine the optimal objective, optimization variables and optimization constraints. At the same time for the inadequacies of the basic genetic algorithm, an improved hybrid genetic algorithm to solve optimization problems. The optimization results are significantly improved compared with that before optimization, verification of the hybrid genetic algorithm. The article also analyzes the mixing degree, SOC value of optimization goals. In summary, the text on the fuel cell electric vehicle power system configuration optimization, parameter matching and optimization of power system studies, for further experiments with the prototype vehicle powertrain design provides a theoretical basis for the development of fuel cell electric vehicles with some reference value; particular degree of power based on hybrid electric hybrid power system parameter design method and hybrid genetic algorithm to optimize the hybrid system in the application of hybrid power systems for other parameter matching and optimization also has some reference value. 
 
Keywords: Fuel cell hybrid electric vehicle electric power system parameter matching and optimization of mixed-based hybrid genetic algorithm

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