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Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach

It is well known that the main constraint of electric vehicles (EVs) is the capabilities to supply efficient energy for driving-range that is comparable to petrol fueled vehicles. Moreover, a large number of batteries needed for EV contribute to heavy weight, poor durability and pricy total cost. In...

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Main Author: Toha, Siti Fauziah
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2015
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/43799/1/SFToha2015.pdf
http://irep.iium.edu.my/43799/
http://www.scientific.net/
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spelling my.iium.irep.437992017-11-09T01:59:12Z http://irep.iium.edu.my/43799/ Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach Toha, Siti Fauziah T Technology (General) It is well known that the main constraint of electric vehicles (EVs) is the capabilities to supply efficient energy for driving-range that is comparable to petrol fueled vehicles. Moreover, a large number of batteries needed for EV contribute to heavy weight, poor durability and pricy total cost. In view of that, the need to prolong the battery lifetime, and use its full capacity, is of utmost importance. Therefore, an accurate battery model is a challenging first step to the overall problem solving chain. This paper presents a transfer function model prediction with nature-inspired approach for a Lithium iron phosphate battery. An Ant Colony Optimisation technique is used in search for accurate model with robust capability to adapt with different input current based on the New European Driving Cycle (NEDC) range. The model is further validated with autocorrelation and cross-correlation test and it is proven to give an error tolerance between the 95% confidence limit. Trans Tech Publications, Switzerland 2015 Article REM application/pdf en http://irep.iium.edu.my/43799/1/SFToha2015.pdf Toha, Siti Fauziah (2015) Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach. Advanced Materials Research, 1115. pp. 531-534. ISSN 1022-6680 http://www.scientific.net/ doi:10.4028/www.scientific.net/AMR.1115.531
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Toha, Siti Fauziah
Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
description It is well known that the main constraint of electric vehicles (EVs) is the capabilities to supply efficient energy for driving-range that is comparable to petrol fueled vehicles. Moreover, a large number of batteries needed for EV contribute to heavy weight, poor durability and pricy total cost. In view of that, the need to prolong the battery lifetime, and use its full capacity, is of utmost importance. Therefore, an accurate battery model is a challenging first step to the overall problem solving chain. This paper presents a transfer function model prediction with nature-inspired approach for a Lithium iron phosphate battery. An Ant Colony Optimisation technique is used in search for accurate model with robust capability to adapt with different input current based on the New European Driving Cycle (NEDC) range. The model is further validated with autocorrelation and cross-correlation test and it is proven to give an error tolerance between the 95% confidence limit.
format Article
author Toha, Siti Fauziah
author_facet Toha, Siti Fauziah
author_sort Toha, Siti Fauziah
title Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
title_short Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
title_full Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
title_fullStr Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
title_full_unstemmed Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
title_sort transfer function prediction of a lithium iron phosphate battery with nature-inspired approach
publisher Trans Tech Publications, Switzerland
publishDate 2015
url http://irep.iium.edu.my/43799/1/SFToha2015.pdf
http://irep.iium.edu.my/43799/
http://www.scientific.net/
_version_ 1643612454394003456
score 13.211869

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