Research And Design Of Battery Management System For Dual-source Metro Engineering Vehicles

In order to meet the energy and power requirements of the new energy tramcar,lithium batteries must be connected in series and parallel to form a battery system to provide power for the railway vehicle.The intermal parameters of each cell are different due to the different production process and use environment.The differenee i5 refleeted in the atypism of terminal voltage and residual power of each cell in the battery group after charging or discharging.In the long run,it is possible to reduce the capacity of the battery pack,overcharge and overdischarge,and ultimately lead to early failure of the battery pack.Based on this,a battery management system is designed for real-time detection of battery parameters,estimation of battery status and control of battery charging and discharging,s0 that battery packs can always operate in the optimal state,and then a systematic solution of Hbattery management technology" for dual-source metro engineering vehieles will be formed,which will have theoretieal value and engineering significance for the rail vehicles,green and efficient operation.Firstly,this paper takes dual-source metro engineering vehicle as the research object,from the point of view of vehicle energy management system,this paper analyzed the energy and power requirements of engineering vehicle,determined the battery selection and configuration of battery system parameters.After that,the battery performance test is completed according to the relevant test standards,which provides a reliable basis for the battery management system research.Secondly,the paper describes the design ideas and methods of battery management system,which combines the characteristics of rail transit,such as high voltage level and complex electromagnetic environment.In this paper,the hardware selection and circuit principle,the main functions of the program implementation,communication scheme design are described in detail.In addition,the BMS function test is carried out after these contents.Finally,this paper estimates the remaining available energy of battery management system based on model-driven.The concepts of maximum available capacity and maximum available energy of batteries changing with operating conditions are proposed.By analyzing the potential relationship between the remaining available capacity and the remaining available energy of the battery,and based on the model of lithium iron phosphate battery with fUll,rate-temperature range,the estimation method of SOC is analogized by using the linearization form and the noise correction form of Kalman filter(KF)technology,respectively,to estimate the remaining available energy of the battery.