Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm
This paper presents an enhanced machine learning based state of charge (SOC) estimation method for a lithium-ion battery using a deep recurrent neural network (DRNN) algorithm. DRNN is suitable for SOC evaluation due to strong computation intelligence and self-learning capabilities. Nevertheless, th...
Saved in:
Main Authors: | Lipu, M.S.H., Hannan, M.A., Hussain, A., Saad, M.H.M., Ayob, A., Muttaqi, K.M. |
---|---|
Format: | Conference Paper |
Language: | English |
Published: |
2020
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm
by: Lipu M.S.H., et al.
Published: (2023) -
State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm
by: Lipu M.S.H., et al.
Published: (2023) -
State of charge estimation in lithium-ion batteries: A neural network optimization approach
by: Hossain Lipu M.S., et al.
Published: (2023) -
Improved recurrent NARX neural network model for state of charge estimation of lithium-ion battery using pso algorithm
by: Hossain Lipu M.S., et al.
Published: (2023) -
State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
by: Lipu M.S.H., et al.
Published: (2023)