Configuration Optimization Of Multi-Energy Drive System For Shunting Locomotive

Shunting locomotive is used for logistics supply,test and engineering traction in railway construction site,which is indispensable in railway transportation.Considering issues of environment and energy stock,shunting locomotives with multi-energy drive system are vigorously developed at home and abroad.Based on the open project "Research on circuit and energy management control technology of hybrid power systems in the locomotive" of CRRC Zhuzhou Locomotive CO.,LTD,this paper focuses on the research and analysis of the core technology related to configuration optimization of multi-energy drive system,and the theoretical research results are verified by m language programming in MATLAB.Firstly,in the premise of the specific road conditions and working requirements,the traction force,braking force and various resistances of shunting locomotive are analyzed under the conditions of multiple stopping points,short stopping distance,road speed limit and frequent change of trailer weight.The traction calculation process based on unrestricted operation time is deduced.The idling points and braking points are determined by inverse calculation under the constraints of speed limit and stopping point,and the operation characteristics of shunting locomotive--distance/speed curve and distance/time curve--are drawn.The traction calculation can obtain the required power and energy of shunting locomotive,and provide the basis for configuration estimation and optimization.Then,according to the topological structure of multi-energy drive system,six kinds of power flow characteristics based on the total demand power of shunting locomotive are analyzed.Under the circumstances of the operation characteristics,demand power and demand energy of shunting locomotive,the rated power of diesel engine is estimated based on the average power required to meet the given full operation condition on the basis of rule-based energy distribution strategy.Combined with the data of the specific single battery,given that the principle that the sum of the maximum output power of the dual power sources is greater than the maximum demand power of the road,the relevant parameters of the lithium titanate battery pack,including voltage,current,maximum charge and discharge power,electric quantity and capacity,are configured,which provides the standard unit reference for the configuration optimization of the multi-objective function.Finally,considering that the coupling relationship between configuration optimization and energy distribution strategy,a decoupling solution is proposed,which is to determine the EMS first,compare the multi-objective values under different configuration parameters,and then select the best.The dynamic programming theory is used to compare and improve the rule-based energy management control strategy.On the grounds of the configuration estimation results as the benchmark of multi-objective function,based on the particle swarm optimization algorithm which gradually converges to the optimal multi-objectives including life cycle cost,weight and fuel consumption,the multi-objective optimal configuration guidance scheme is provided for the new locomotive design under the specific road,with the dynamic design index is satisfied,it is really of great significance.55 pictures,19 tables and 70 references.