IIUM Repository

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

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

[img] PDF - Published Version
Restricted to Registered users only

Download (242kB) | Request a copy


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.

Item Type: Article (Journal)
Additional Information: 4680/43799
Uncontrolled Keywords: Lithium Iron Phosphate, Ant Colony Optimisation, Nature-Inspired Algorithm, Transfer function Model Prediction
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Siti Fauziah Toha
Date Deposited: 15 Jul 2015 11:20
Last Modified: 09 Nov 2017 09:59
URI: http://irep.iium.edu.my/id/eprint/43799

Actions (login required)

View Item View Item


Downloads per month over past year