Paper Title:
Research of MH-Ni Battery State of Charge Estimation Based on Grey System Neural Network Model
  Abstract

In order to effectively achieve MH-Ni battery state of charge estimation, grey system neural network model is put forward to predict battery state of charge by using the parameters of battery pulse current response signal as input for grey system neural network. The state of charge is as the network output and the response parameters of the battery pulse current as the input. The results show that its prediction accuracy of the state of charge can be achieved to requirements of the electric vehicles in applications by this method to predict the state of charge.

  Info
Periodical
Edited by
Honghua Tan
Pages
583-587
DOI
10.4028/www.scientific.net/AMM.66-68.583
Citation
J. X. Long, "Research of MH-Ni Battery State of Charge Estimation Based on Grey System Neural Network Model", Applied Mechanics and Materials, Vols. 66-68, pp. 583-587, 2011
Online since
July 2011
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