Battery state of charge estimation using adaptive extended kalman filter for electric vehicle application
To build up a proficient battery management system, it is required to accurately estimate the state of charge (SOC) of the electric vehicle (EV) battery. Generally, the accuracy of the conventional extended Kalman Filter (CEKF) algorithm is exceptionally affected by the method used to update the noi...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
IEEE
2020
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37178/ https://ieeexplore.ieee.org/document/9367743 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|