Extreme learning machine model for state-of-charge estimation of lithium-ion battery using gravitational search algorithm
This paper develops a state-of-charge (SOC) estimation model for a lithium-ion battery using an improved extreme learning machine (ELM) algorithm. ELM is suitable for an SOC estimation since the ELM algorithm has fast estimation speed, good generalization performance, and high accuracy. However, the...
Saved in:
Main Authors: | Hossain Lipu, M.S., Hannan, M.A., Hussain, A., Saad, M.H., Ayob, A., Uddin, M.N. |
---|---|
Format: | Article |
Language: | English |
Published: |
2020
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Extreme learning machine model for state-of-charge estimation of lithium-ion battery using gravitational search 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) -
Neural network approach for estimating state of charge of lithium-ion battery using backtracking search algorithm
by: Hannan M.A., et al.
Published: (2023) -
Fuzzy-Based Charging-Discharging Controller for Lithium-Ion Battery in Microgrid Applications
by: Faisal M., 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)