Study On Optimization Of Energy Management Strategy For Fuel Cell Range Extended Hybrid Power System For Vehicle

Fuel cell range extended electric vehicle(FC-REEV)is the mainstream model of fuel cell vehicles.This kind of vehicle has the advantages of low pollutant emission,low driving vibration and noise,and low operating cost.However,the thermostat control strategy(TCS)commonly used in FC-REEV needs to be improved in terms of vehicle driving economy and fuel cell durability.Therefore,through the selection and modeling of key components of the power system,the analysis of energy management strategy optimization methods,and model-in-the-loop testing,this paper conducts a specific study on energy management strategy optimization for range-extended fuel cell hybrid electric vehicles.The specific work content is as follows:First,in order to meet the performance development goals of a fuel cell hybrid electric vehicle such as the driving range and fuel cell durability improvement,the vehicle power system topology and system operation mode were determined,and the selection and parameter determination of the key components were completed.It is determined that the system topology is an extended-range hybrid,and the operating modes include pure electric,extended-range drive,hybrid drive and braking energy recovery modes;The drive motor adopts a permanent magnet synchronous motor with a peak power of 160 k W and a rated power of 76 k W.The selected fuel cell system has a rated power of 38 k W,and the type of stack is a proton exchange membrane hydrogen fuel cell battery.The power battery uses rated voltage of 392 V and a capacity of 55 AH battery.The battery type is manganese lithium ion battery,PACK format is 110 series and 1 parallel.Then,a numerical calculation and energy loss of key components model were established,which including the calculation model for the current demand of the drive motor,the calculation model for the energy consumption of the power battery and fuel cell system,and the calculation model for the durability loss of the fuel cell.Based on the model and the energy management strategy optimization goal,the energy management strategy optimization method is analyzed.The artificial bee colony algorithm(ABC)optimization method is proposed,and the fuzzy control(FCS)optimization method is further proposed in its technology.Among them,ABC optimization includes a TCS that targets driving economy(CABC-TCS)and a TCS that targets comprehensive performance(OABC-TCS).FCS optimization includes a series fuzzy control strategy targets fuel cell durability(SFCS).and series fuzzy control strategy(OSFCS)aiming at comprehensive performance optimization.Finally,based on Simcenter Amesim and Matlab/Simulink to build a co-simulation,the model-in-the-loop test was carried out under two typical working conditions of CLTC-P and WLTC.The effect of reducing driving costs of CABC-TCS,OABC-TCS,SFCS and OSFCS was compared and analyzed.The results show that: In the optimization of artificial bee colony algorithm,OABC-TCS is better.The driving range optimization ratios under CLTC-P and WLTC conditions are 10.59% and 8.62%,respectively,and the driving cost is reduced by 1.15% and5.79%,respectively.In the fuzzy control optimization method,the OSFCS control strategy based on particle swarm optimization is better.In the CLTC-P and WLTC conditions,the ratio of increasing the driving range of the vehicle is 13.98%与 11.31%,respectively,and the driving cost is reduced by 3.06%与 7.51%.From the perspective of comprehensive vehicle mileage and driving cost,the OSFCS in the fuzzy control optimization method has more advantages than the OABCTCS in the ABC optimization method.