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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Trans Tech Publications, Switzerland
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/35311/ http://irep.iium.edu.my/35311/ http://irep.iium.edu.my/35311/ 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 |
Internet
http://irep.iium.edu.my/35311/http://irep.iium.edu.my/35311/
http://irep.iium.edu.my/35311/
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