Lithium iron phosphate intelligent SOC prediction for efficient electric vehicle

• 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

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...