Lithium iron phosphate intelligent SOC prediction for efficient electric vehicle

• 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
• Institution: Universiti Islam Antarabangsa Malaysia

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...