A Merged Fuzzy Neural Network and Its Applications in Battery State-of-Charge Estimation

2007 ◽  
Vol 22 (3) ◽  
pp. 697-708 ◽  
Author(s):  
I-Hsum Li ◽  
Wei-Yen Wang ◽  
Shun-Feng Su ◽  
Yuang-Shung Lee
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
State Of Charge ◽  
Fuzzy Neural ◽  
Battery State Of Charge ◽  
State Of Charge Estimation

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

2011 ◽  
Vol 66-68 ◽  
pp. 583-587 ◽  
Author(s):  
Jian Xiong Long
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Pulse Current ◽  
The State ◽  
State Of Charge ◽  
Current Response ◽  
Grey System ◽  
Battery State Of Charge ◽  
State Of Charge Estimation

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.

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