Analysis of prediction algorithm for residual capacity of battery in regional weather stations
DOI:
Author:
Affiliation:

Clc Number:

TN98

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to solve the problem of the shortage of effective monitoring ways of battery residual capacity in regional weather station maintenance service, relevant research work has been carried out. Firstly, through the voltage measurement to obtain the voltage change curve of regional station battery, and the prediction algorithm of its residual capacity was adopted by partial quadratic polynomial cooperation. Secondly, MATLAB script code was used to calculate the fitting optimal parameters based on experimental samples. Finally, according to the set calculation model and relevant parameters, the residual capacity monitoring software of the battery is developed. After testing, the prediction error value is less than 10%. This software can provide the maintenance staff with the effective monitoring information and prediction information of the battery in time.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: July 20,2021
  • Published: