Energy Management And Control Technology Of Self-Guided Train Traction System

As a non-wheel-rail contact-oriented transport system under the operating environment of public right of way,self-guided train is a new medium-volume urban rail transit mode,which can realize medium-high speed and medium-small volume transportation,and form an ecological and integrated urban public transport system with subway,light rail and bus in the future.Compared with catenary power supply mode,contactless power supply mode has the advantages of unrestricted operation area and beautification of urban landscape.This thesis focuses on the energy management and control technology of self-guided trains on its traction system.First of all,this thesis builds a mathematical model of train traction calculation according to the traction calculation theory,analyzes train operation condition and load characteristic,designs train characteristic curve and simulates train operation curve for self-guided train.Then the load simulation model is established to obtain the train operating condition curve and energy consumption curve,which lays a foundation for the follow-up research.In order to give full play to the characteristics of different energy storage components,the research plan adopts the contactless hybrid power supply mode of "battery + supercapacitor".This thesis analyzes and compares the current common topological structure of various traction systems,selects the two energy storage components and establishes the equivalent circuit model.By studying their charge and discharge characteristics,we can understand the reasonable working range of batteries and supercapacitors,so as to provide a basis for energy configuration and energy management and control strategy formulation of traction systems.This thesis uses a simple estimation method to configure the energy of the traction system: under traction condition,the supercapacitor supplies power to the train with the maximum discharge capacity,and the remaining energy is supplemented by the battery so as to configure the battery,under braking condition,the maximum charging capacity of the supercapacitor is used to absorb the braking energy,so as to configure the supercapacitor.Aiming at the energy management control of traction system,the predictive control method is selected in this thesis.Its single optimization goal is to reduce the total energy loss of battery and supercapacitor during train operation,and the constraints are SOC,current and voltage of batteriess and supercapacitors.Then proposes a simulation scheme that uses two predictive steps to achieve energy management control.Finally,this thesis builds a simulation model in the Matlab / Simulink simulation environment so as to verifies the above theoretical analysis,performs simulations according to different prediction steps,compares the two schemes from the aspects of calculation amount,simulation time,simulation results and energy loss,and provide theoretical reference for the application in the actual system.There are 69 figures,13 tables and 60 citied references in this thesis.