Toward Enhanced State of Charge Estimation of Lithium-ion Batteries Using Optimized Machine Learning Techniques
State of charge (SOC) is a crucial index used in the assessment of electric vehicle (EV) battery storage systems. Thus, SOC estimation of lithium-ion batteries has been widely investigated because of their fast charging, long-life cycle, and high energy density characteristics. However, precise SOC...
Saved in:
Main Authors: | Hannan M.A., Lipu M.S.H., Hussain A., Ker P.J., Mahlia T.M.I., Mansor M., Ayob A., Saad M.H., Dong Z.Y. |
---|---|
Other Authors: | 7103014445 |
Format: | Article |
Published: |
Nature Research
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neural network approach for estimating state of charge of lithium-ion battery using backtracking search algorithm
by: Hannan M.A., et al.
Published: (2023) -
Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model
by: Hannan M.A., 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) -
A COMPARATIVE PERFORMANCE EVALUATION OF NEURAL NETWORK ALGORITHMS BASED STATE OF CHARGE ESTIMATION FOR LITHIUM-ION BATTERY
by: Lipu M.S.H., et al.
Published: (2023) -
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
by: Hannan M.A., et al.
Published: (2023)