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.

scholarly journals State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 28150-28161 ◽  
Author(s):  
Molla S. Hossain Lipu ◽  
Mahammad A. Hannan ◽  
Aini Hussain ◽  
Mohamad H. M. Saad ◽  
Afida Ayob ◽  
...  
Keyword(s):  
Neural Network ◽  
Lithium Ion Battery ◽  
Network Model ◽  
Neural Network Model ◽  
Search Algorithm ◽  
Lithium Ion ◽  
State Of Charge ◽  
Model Based ◽  
State Of Charge Estimation ◽  
Narx Neural Network
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