Research On Research On Energy Management And Optimal Control Of Fuel Cell Hybrid Power Vehicle

In order to curb environmental problems caused by carbon emissions,global carbon neutrality has become a general trend.In order to achieve the goal of carbon neutrality,the automotive industry needs to further develop towards low carbon.Because hydrogen energy has the characteristics of diversified sources and zero-emission operation,fuel cell vehicles are one of the important ways to promote the automotive industry to achieve carbon neutrality.Fuel cells have the shortcomings of slow dynamic response,long cold start time,and poor stability.The composite power system is a good solution.However,composite energy storage makes the power and energy flow of the power system more complicated,and new technologies are urgently needed to solve the problem of multi-mode energy shunting,and to formulate efficient and reasonable energy management and optimization strategies to give full play to the performance and advantages of the composite energy storage system.The key to breaking the bottleneck of on-board energy storage technology.Based on the research of fuel cell hybrid power system energy control and optimal control under complex working conditions,this paper first establishes the fuel cell and power battery hybrid power structure based on the characteristics of the fuel cell vehicle power system topology,designs the power system transmission scheme,and according to the benchmark vehicle power performance indicators,select the fuel cell system and other components,perform parameter matching and build a fuel cell hybrid vehicle simulation model based on Matlab / Simulink.Secondly,research the energy management strategy of fuel cell hybrid power vehicle.An improved fuzzy logic control strategy is proposed,and a fuzzy controller with load power and power battery SOC as input and fuel cell power as output is designed,and the control is controlled by logic thresholds.The fuzzy control output value is further modified to reduce the operating conditions that cause the life of the composite power supply to attenuate.Load NEDC and WLTC operating condition data into the simulation model.The results show that:Compared with the traditional fuzzy logic control strategy,the improved fuzzy logic control strategy saves the equivalent hydrogen consumption by 24% and 12%,respectively,and reduces the start and stop of the fuel cell.It also avoids the operation of the fuel cell under low load or idling conditions,effectively improving the economy and durability of the fuel cell hybrid power vehicle.Finally,aiming at the disadvantages of the fuzzy control strategy design with strong subjectivity,the objective function is to reduce the equivalent hydrogen consumption of the fuel cell hybrid power vehicle,using the particle swarm algorithm to optimize the membership function in the fuzzy controller.The results show that,under WLTC conditions,compared with before optimization,the equivalent hydrogen consumption is reduced by about0.63%.However,due to the problem of stagnant search and low convergence accuracy of the particle swarm algorithm,this paper proposes a hybrid particle swarm algorithm to further optimize the membership function.The results show that under WLTC conditions,compared to the previous optimization,the fuzzy control strategy based on the optimization of the hybrid particle swarm algorithm reduces the equivalent consumption of hydrogen by approximately 1.48%.The fuzzy control strategy optimized by group algorithm is more effective in improving fuel economy.