State of charge estimation of a lithium-ion battery for electric vehicle based on particle swarm optimization
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 li...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/34110/ http://irep.iium.edu.my/34110/1/ICSIMA_SOC_PSO_DR_Fauziah_MCT.pdf |
| Summary: | 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. |
|---|