Research On Fuel Cell Logistics Vehicle System Modeling And Energy Distribution Strategy

New energy vehicles are rapidly developing as a solution to environmental degradation and lack of resources,and fuel cell vehicles have become one of its research hot spots.The hybrid mode solves the shortcomings of the fuel cell system's own characteristics,but also puts forward requirements for energy distribution strategies.Generally,the application of more regular energy distribution strategies in engineering depends on engineers' engineering experience or trial and error to achieve the desired results,which consumes a lot of manpower and time.However,other optimization methods are more difficult to use in practice.Therefore,this paper takes the plug-in fuel cell logistics vehicle in the form of "fuel cell system + power battery" as the research object,Taking economic optimization as the goal,select the dynamic programming algorithm with excellent optimization effect under fixed working conditions in the global optimization,and guide the regular energy distribution strategy through the dynamic planning energy distribution strategy to form a better and easy to formulate the sub-optimal energy distribution strategy for engineering applications.The main research contents are as follows:(1)Summarize the fuel cell vehicle energy distribution strategy,analyze the development status of the fuel cell vehicle energy distribution strategy,and determine the research plan of this paper.This paper will form an optimal fuel cell logistics vehicle energy distribution strategy based on the regular energy distribution strategy and the guidance of the dynamic programming algorithm.(2)According to the basic parameters of the the "Sinotruk Ace" plug-in fuel cell logistics vehicle and the power performance requirements of the vehicle,the parameters of the fuel cell,power battery,drive motor and transmission system are matched.On the basis of parameter matching,Matlab / Simulink software is used to build models of complete vehicles,fuel cells,power batteries,etc.,lay the foundation for follow-up work.(3)Based on the power required by the vehicle in the previous section,the constraints of the hybrid power source are analyzed,and a rule-based energy distribution strategy is formulated.Therefore,the power valueand flow direction of each energy source of the power system are reasonably distributed,and the power system is optimized for efficiency.The energy distribution strategy must first meet the power requirements of the vehicle driving,reasonably control the power distribution and energy flow,that is,meet the power balance problem.The second is to further fine control to achieve optimization under different goals.On the basis of the completion of the formulation of the control strategy,the threshold mode is applied to transform the above basic control strategy into a specific executable control algorithm.Finally,the model of the control strategy is built through Stateflow,so that it can perform energy control on the model built in the previous stage,and complete the offline simulation.(4)The dynamic planning algorithm is constructed by MATLAB,which optimizes the energy allocation strategy under the selected fixed working conditions,and extracts the corresponding control rules and thresholds through the dynamic planning algorithm,so as to guide the regular energy allocation strategy,and finally The economics of regular energy distribution strategies based on dynamic programming guidance are verified through different operating conditions.The research results show that the economics of dynamic energy allocation strategies are significantly higher than regular energy allocation strategies.After being guided by dynamic programming,the economics of regular energy allocation strategies under the same working conditions can be approximated by dynamic planning energy allocation strategies,and the economics of the optimized regular energy allocation strategies under different working conditions have also been improved.This not only lays the foundation for subsequent research on other optimization algorithms,but also provides another more efficient solution for establishing real-time optimal energy distribution strategies.