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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| Format: | Article |
| Language: | English |
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Trans Tech Publications, Switzerland
2015
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| Online Access: | http://irep.iium.edu.my/43799/ http://irep.iium.edu.my/43799/1/SFToha2015.pdf |
| _version_ | 1848782506947510272 |
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| author | Toha, Siti Fauziah |
| author_facet | Toha, Siti Fauziah |
| author_sort | Toha, Siti Fauziah |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:06:33Z |
| format | Article |
| id | iium-43799 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:06:33Z |
| publishDate | 2015 |
| publisher | Trans Tech Publications, Switzerland |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 PeerReviewed 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 |
| spellingShingle | T Technology (General) Toha, Siti Fauziah Transfer function prediction of a lithium iron phosphate battery with nature-inspired approach |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/43799/ http://irep.iium.edu.my/43799/ http://irep.iium.edu.my/43799/ http://irep.iium.edu.my/43799/1/SFToha2015.pdf |