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 bank w...

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Bibliographic Details
Main Authors: Toha, Siti Fauziah, Ismail, Nur Hazima Faezaa, Mohd Azubair, Nor Aziah, Md Ishak, Nizam Hanis, Hassan, Mohd Khair, Ksm Kader Ibrahim, Babul Salam
Format: Article
Language:English
Published: Trans Tech Publications 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34390/1/Lithium%20iron%20phosphate%20intelligent%20SOC%20prediction%20for%20efficient%20electric%20vehicle.pdf
http://psasir.upm.edu.my/id/eprint/34390/
http://www.scientific.net/AMR.875-877.1613
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Institution: Universiti Putra Malaysia
Language: English

Internet

http://psasir.upm.edu.my/id/eprint/34390/1/Lithium%20iron%20phosphate%20intelligent%20SOC%20prediction%20for%20efficient%20electric%20vehicle.pdf
http://psasir.upm.edu.my/id/eprint/34390/
http://www.scientific.net/AMR.875-877.1613

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