Design Of On-line Monitoring System For VRLA

Valve-regulated sealed lead-acid batteries(VRLA)are an important part of emergency power supplies(EPS),As a backup power source independent of the city electric network,EPS is widely used in various firefighting and architecture industries,more and more attention have been paid on its safety and lifespan.However,in practical applies,many staff do not have professional management methods.VRLA did not reach the expected service time without necessary monitoring measures.The performance of battery getting decreased results in discharge capacity decreased,power supply abnormality even caused to deflagration and fire disaster.Enterprises and society have paid huge economic losses for it.So it is necessary to establish real-time monitoring system for EPS.Monitoring system can improve the reliability of EPS and extending the service life of VRLA.It has very important social and economic value to establish real-time monitoring system.This paper is mainly focus on the problem of monitoring EPS in subway and city illumination.The work is starting from the mode of charging and discharging in EPS.The electrochemical working principle and failure mode of lead-acid batteries has been discussed and analyzed deeply.An on-line monitoring system for VRLA batteries has been designed.The system can monitor battery voltage,temperature and internal resistance in a long distance.This paper estimate battery state of charge(SOC)by BP neural network algorithm in MATLAB.The main contents of this paper are as follows.1.An overview on the research status of battery maintenance at home and abroad is discussed.2.The electrochemical reaction principle and working characteristics of VRLA batteries has been studied and analyzed.This chapter has summary the internal structure and performance degradation mechanism of batteries.The main detection parameters were determined in this chapter.3.This chapter focuses on the schematic diagram design.Battery monitor sensor module and data concentrator module schematic diagram design has been introduced.Some key circuits are simulated in the chapter.4.Write the monitoring system software,explain the program flow and analyze some of the key code5.The battery state of charge(SOC)is estimated by the BP neural network algorithm and support vector machine and the results of the two estimates are been contrastedCompared with the traditional battery monitoring method,this real-time monitoring system has some advantages such as automation,accurate detection,convenience and rapidity.It reduces the burden of management and maintenance personnel effectively.The system provides guarantee for the safe and effective operation of EPS.