Research On Battery Management System For Rail Transit Traction

With the development of electric cars and railway, battery management technology becomes more and more important, which is also an international difficulty. This article had presented that Rail trains carried traction battery system and realized traction when the fault was happened.Because battery as a major source of traction is high power and high voltage grade, so it is particularly important to manage traction battery.This thesis studied research on the battery management system. First of all, SOC was researched based on the BP neural network. In training process, the neural system was modeled by using current, voltage and temperature as input, and SOC as output. The results of estimation showed that BP neural network can estimate SOC effectively. Then the article dedicated to the research on the design of battery management system,selected a method of collecting scattered data and processing centralized data. The main control module completed the calculation of SOC by battery management unit, charge and discharge management system,safety monitoring system and the underlying communication each other, and realized the battery safety management functions.A distributed acquisition system was used by battery management control unit(LECU) which main task were to collect battery voltage,current, temperature and realized balanced protection, balanced protection achieved real-time monitoring of battery monomer voltage and balanced battery by equalization circuit, finally made all monomer battery reach equilibrium. This paper selected the dissipative battery equalization management strategy to solve the problem of consistency of the battery which was designed. Experimental results were analyzed whichhad good effect and met the design requirements.