Lithium iron phosphate intelligent SOC prediction for efficient electric vehicle

Lithium iron phosphate intelligent SOC prediction for efficient electric vehicle

This paper presents modelling techniques for Lithium Iron Phosphate (LiFePO4) battery in an electric vehicle. Artificial intelligence techniques namely multi-layered perceptron neural network (MLPNN) and Elman recurrent neural network are devised to estimate the energy remained in the battery ban...

Full description

Saved in:
Bibliographic Details
Main Authors: Toha, Siti Fauziah, Faeza, Nor Hazima, Mohd Azubair, Nor Aziah, Nizam, Hanis, Hassan, Mohd. Khair, Ibrahim, Babul Salam KSM
Format: Article
Language:English
English
Published: Trans Tech Publications, Switzerland 2014
Subjects:
T59.5 Automation
Online Access:http://irep.iium.edu.my/35311/1/AMR_FinalPaper.pdf
http://irep.iium.edu.my/35311/4/35311_Lithium%20iron%20phosphate%20intelligent%20SOC%20prediction%20for%20efficient%20electric%20vehicle_SCOPUS.pdf
http://irep.iium.edu.my/35311/
http://www.ttp.net/1022-6680.html
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English

Internet

http://irep.iium.edu.my/35311/1/AMR_FinalPaper.pdf
http://irep.iium.edu.my/35311/4/35311_Lithium%20iron%20phosphate%20intelligent%20SOC%20prediction%20for%20efficient%20electric%20vehicle_SCOPUS.pdf
http://irep.iium.edu.my/35311/
http://www.ttp.net/1022-6680.html

Similar Items