| With the continuous development of new energy technology and the gradual maturity of hybrid power technology,it has become an inevitable trend to apply on-board energy storage technology in the field of rail transit.Compared with traditional diesel locomotives,diesel-battery hybrid locomotives are more green and environmentally friendly,and can achieve the purpose of fuel saving,emission reduction and noise reduction.Reasonable hybrid power system capacity configuration is the prerequisite for improving the operating economy of hybrid power locomotives,and the typical driving cycle which can reflect the daily operating characteristics of locomotive is the base of optimizing capacity configuration.Based on the above background,this article has carried out research on the optimal configuration scheme of hybrid power system based on the typical driving conditions of rail transit vehicles.Firstly,taking the hybrid locomotive powered by diesel generator set and power battery as the research object,the topological structure of the system and the power flow characteristics of the locomotive under various working conditions are firstly analyzed.According to the idea of energetic macroscopic representation,the basic elements are used in turn to model the forward path of each subsystem of the diesel-electric hybrid locomotive,and the inversion-based control is used to obtain the control model of the entire system.The energy management strategy of rule control is formulated,and then the energetic macroscopic representation model of the locomotive is obtained.Secondly,the actual operating data of rail transit vehicles are collected and divided into micro-trips,referring to the methods of driving cycles construction in the automobile industry.The parameters that can reflect the running characteristics of the locomotive are selected,and the principal component analysis are carried out on the characteristic parameter matrix of the micro-fragments to realize the de-correlation and dimension reduction.Then clustering analysis are used to classify the collected original samples.Thirdly,each type of sample data obtained by clustering is analyzed and two methods are used to construct the typical driving cycles of rail transit vehicles.The accuracy and credibility of driving cycles are verified by comparison of characteristic parameters and operating energy consumption with the original actual operating data.Finally,an optimal configuration method for the hybrid power system of diesel-battery hybrid locomotives is proposed.Based on the typical driving cycle and traction calculation condition respectively,the locomotive whole life cycle cost in all routes including diesel engine purchase cost,battery purchase cost and the fuel cost in the operation process is used as the objective function,considering the charging and discharging rate and SOC of the energy storage system,the speed and torque of the diesel generator sets,and the limitation of the volume and weight of the power system by the locomotive carriage as boundary conditions.The particle swarm algorithm is used to search for the optimal configuration and two schemes are obtained.Through the economic comparison analysis of different configuration schemes,the necessity and superiority of the typical driving conditions in the optimization configuration research are verified. |
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