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Research On Fuel Cell Bus Parameter Matching And Energy Management Strategy Based On Driving Cycle

Posted on:2020-12-19Degree:MasterType:Thesis
Country:ChinaCandidate:T FangFull Text:PDF
GTID:2381330578472547Subject:Power engineering
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Fuel cell vehicles have the advantages of high efficiency and pollution-free.It solves the shortcomings of electric vehicles in terms of endurance.It is a hotspot in the research of new energy vehicles.Due to the limitations of fuel cell in start-up,output characteristics,production and manufacturing costs,hybrid power systems are often composed of auxiliary energy storage components.Its parameter matching and energy management strategy is one of the urgent problems to be solved for fuel cell vehicles.Hydrogen fuel cell vehicles are still in the experimental stage,and the infrastructure of hydrogenation stations and maintenance stations is not perfect.Urban buses are good carriers for research and development,demonstration operation and promotion of fuel cell vehicles because of their fixed lines and large numbers,which are convenient for centralized hydrogenation and maintenance.Vehicle driving cycles can provide theoretical basis for vehicle parameter matching and energy management strategy,and have typical time-domain and regional characteristics.Considering the similarity of structure and driving system between hydrogen fuel cell bus(FCB)and pure electric bus,the driving cycle of Hefei electric bus are established based on the driving data of Hefei electric bus,which is the basis of parameter matching and energy management strategy of this paper.Based on the driving cycle of self-built electric bus,this paper studies the parameter matching and energy management strategy of hydrogen fuel cell bus.Specific contents include:(1)Constructing the driving cycles of Hefei Electrical Bus.Taking 12 buses in four typical sections of Hefei city as the research object,25 430 short-distance segments were obtained through data fusion,cleaning and segmentation.Based on principal component analysis and improved K-Means algorithm,the data were clustered into four categories.The representative working cycles of each cluster were selected based on class center distance,and the driving cycles of new energy buses in Hefei city were constructed.(2)Based on the self-built condition,the performance index of FCB is set and the hybrid power system is developed.The configuration schemes of the mainstream power system are compared.According to the bus parameters,operation characteristics and performance indicators,the appropriate hybrid power system configuration is selected,and the key components of the power system are matched by referring to the basic parameters of a pure electric bus.(3)The establishment of fuel cell bus simulation platform based on Cruise and Matlab.The whole vehicle model of hydrogen fuel cell bus is built in Cruise platform,and the fuel cell model and the mathematical model of other key components are established in MATLAB platform.The joint simulation platform is built through the interface between Cruise and matlab.(4)A simplified model of hybrid power system of fuel cell bus is established based on piecewise affine model.The local optimal solution is found in the limited predictive time domain based on model predictive control(MPC).The real-time optimal energy management is completed by rolling optimization.Finally,the simulation test and realtime vehicle test showed that the parameter matching is validated and the energy management based MPC can save energy than the management based on rules.
Keywords/Search Tags:Fuel cell bus, driving cycle, parameter matching, energy management strategy, real vehicle test
PDF Full Text Request
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