State of charge estimation of a lithium-ion battery for electric vehicle based on particle swarm optimization

Ismail, Nur Hazima Faezaa and Toha, Siti Fauziah (2013) State of charge estimation of a lithium-ion battery for electric vehicle based on particle swarm optimization. In: 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, 26-27 Nov 2013, Royal Bintang Kuala Lumpur.

PDF (State of charge estimation of a lithium-ion battery for electric vehicle based on particle swarm optimization) - Published Version Restricted to Registered users only Download (418kB) | Request a copy

Abstract

Lithium-ion battery plays important roles in electric drive vehicles. It has several advantages among other battery technologies such as high energy density and specific energy. The primary concerns of Lithium-ion batteries are to maintain optimum battery performance and extend the battery’s life. An accurate state of charge (SOC) estimation can improve the performance of Lithium-ion battery. In this paper, a method for SOC estimation for LiFePO4 using the particle swarm optimization (PSO) algorithm is presented. The results indicate the SOC estimation using PSO optimized algorithm has good performance. The simulation result has also been validated and complies within specific confidence level.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	4680/34110
Subjects:	T Technology > T Technology (General) > T175 Industrial research. Research and development
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:	13 Jan 2014 12:04
Last Modified:	13 Jan 2014 12:04
URI:	http://irep.iium.edu.my/id/eprint/34110

Actions (login required)

View Item