Management And Control Technology Of Fuel Cell Vehicle Driving Force

The rapid development of the automobile industry brings convenience to people,but it also intensifies the energy crisis and environmental pollution problems.Under the background of energy conservation and emission reduction,many countries have taken new energy vehicles as the focus of attention.As a kind of new energy vehicle,hydrogen fuel cell vehicle has the advantages of high specific energy,zero emission,low noise and so on.In recent years,it has become a hot topic of research,among which the matching and control strategy of power system is the key technology of fuel cell vehicle research.This paper takes these as the core of the research,and completes the design of the fuel cell vehicle by selecting the fuel cell vehicle structure,selecting and matching the power system,formulating the vehicle control strategy and vehicle modeling and simulation.The research process is as follows:Firstly,by comparing the advantages and disadvantages of different structural forms of fuel cell vehicles,the structural form of indirect parallel connection of fuel cell and power cell is selected,and the power system type selection and parameter matching are carried out for the designed vehicle type.Using the matching parameters,the vehicle model is built in Cruise software,which verifies the rationality of the matching result.Secondly,according to the characteristics of power system components,a rule-based control strategy is formulated,and the simulation models of finite state machine,power following and the fuzzy control strategies based on fuzzy rule are built.In order to verify the effectiveness of the control strategy,the dynamic simulation models of various power system components and the whole vehicle are built,and the economic simulation is carried out under the working conditions in China.The results show that the three control strategies can achieve power distribution well.Among them,the equivalent hydrogen consumption of the control strategy based on finite state machine is smaller,and the SOC variation of the power battery of the other two control strategies is smaller.Finally,sensitivity analysis of equivalent hydrogen consumption is carried out for relevant parameters of membership function in fuzzy control strategy,and 12 design variables are selected.And ellipsoidal basis neural network approximation model is established by sampling through optimized Latin hypercube design.Based on this approximate model and taking the minimum equivalent hydrogen consumption as the objective function,the fuzzy control strategy is optimized by using multi-island genetic algorithm.The optimization results show that the output power of the fuel cell system is more stable,the probability of being in the most efficient region is increased,and the equivalent hydrogen consumption is reduced by about 8.4% compared with that before optimization,thus further improving the economic performance of the whole vehicle.