Research On Optimization Of Stable And Energy-Efficient Operation For Freight Train

As one of the main freight transportation modes in our country,railway freight transportation provides us with convenient and efficient services,and at the same time freight trains consumes huge energy.Therefore,the energy-efficient control of freight trains has attracted more and more attention.For freight train,the research on the energy-efficient control of the freight train is to reduce the energy consumption as much as possible on the basis of operating safety,smoothness and punctuality.In this thesis,the theoretical analysis method and simulation verification method are combined to study the stable and energy-efficient operations of the freight train.The main contents are as follows:Firstly,the train motion model and energy consumption evaluation model are founded on the basis of the basic principles of train traction calculation.Taking energy consumption as the objective function,the maximum principle is applied to analyze the optimal operations on the flat track.By analyzing the dynamic changes of the adjoint variables,the set of energy-efficient operations and principles of possible operation transitions are obtained.Secondly,train operations on the route are classified into several typical scenarios,and the energy-efficient strategies and stable strategies in different scenarios are discussed respectively.By using analytic and simulation method,the sequences of energy-efficient operations in different scenarios are analyzed and the energy-efficient strategies are obtained.In terms of safe and stable operation,the sequences of stable and energy-efficient strategies are gained by combining with the experience of experienced drivers.Thirdly,the route is divided into several segments,and the sequences of energy-efficient operations on the segment are analyzed.Taking the cruising speed and transition points of energy-efficient strategies as the decision variables,the particle swarm optimization algorithm is applied to solve the problem of energy-efficient operation of the freight train.Combined with the stable operation strategies of the freight train in several typical scenarios,the stable operation constraint conditions are added to the particle swarm optimization algorithm,and the algorithm is verified by using the energy-efficient operation mode and the stable and energy-efficient operation mode respectively.Finally,a simulation module of freight train driver assistant system is developed,and the simulation of the freight train driving is realized by communicating with the driving simulation platform.The simulation module of freight train driver assistant system provides the users with the functions of parameter configuration,stable and energy-efficient operation and query and analysis.With these functions,the simulation of the stable and energy-efficient control of the train can be completed through the transmission of relevant data between modules.