Cover Image

Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller

Algorithms; Automobile cooling systems; Battery management systems; Battery Pack; Controllers; Fuzzy logic; Fuzzy systems; Ions; Particle swarm optimization (PSO); Robust control; Temperature control; Thermal management (electronics); Traffic signals; Battery performance; Battery thermal managements...

Full description

Saved in:
Bibliographic Details
Main Authors: Hannan M.A., Young Y.S., Hoque M.M., Ker P.J., Uddin M.N.
Other Authors: 7103014445
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-24466
record_format dspace
spelling my.uniten.dspace-244662023-05-29T15:23:45Z Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller Hannan M.A. Young Y.S. Hoque M.M. Ker P.J. Uddin M.N. 7103014445 57212476238 56583590200 37461740800 55663372800 Algorithms; Automobile cooling systems; Battery management systems; Battery Pack; Controllers; Fuzzy logic; Fuzzy systems; Ions; Particle swarm optimization (PSO); Robust control; Temperature control; Thermal management (electronics); Traffic signals; Battery performance; Battery thermal managements; Fuzzy controllers; Fuzzy logic controllers; Heating and cooling systems; Irreversible capacity loss; Thermal management systems; Uniform temperature; Lithium-ion batteries Lithium ion battery is an important energy storage device especially, in electric vehicles due to its large capacity. However, heat generated from this battery during the high rate of charging and discharging process might lead to irreversible capacity loss and degrade the battery performance. This paper presents a thermal management system for a lithium ion battery to maintain a regulated thermal process in the battery pack. A robust control algorithm is proposed using particle swarm optimization (PSO) based fuzzy logic controller to the battery thermal management system. The system performance is evaluated by the overshoot, undershoot and settling time, and compared with the PID and simple fuzzy system to validate the results. From the performance results and comparisons, the proposed PSO based fuzzy system is able to yield the least overshoot of 0.497 % and settling time of 32 min 13 s during the heating subroutine, and undershoot of 0.975 % and settling time of 28 min 46 s during the cooling subroutine. Moreover, it is also capable of maintaining a uniform temperature among the battery modules in the pack. These results prove that the PSO based fuzzy system is a robust control system which enhances the performance of the lithium ion battery temperature regulating system efficiently. � 2019 IEEE. Final 2023-05-29T07:23:44Z 2023-05-29T07:23:44Z 2019 Conference Paper 10.1109/IAS.2019.8912339 2-s2.0-85076762789 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076762789&doi=10.1109%2fIAS.2019.8912339&partnerID=40&md5=478101716440ebee70ab597f2a1eb125 https://irepository.uniten.edu.my/handle/123456789/24466 8912339 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Algorithms; Automobile cooling systems; Battery management systems; Battery Pack; Controllers; Fuzzy logic; Fuzzy systems; Ions; Particle swarm optimization (PSO); Robust control; Temperature control; Thermal management (electronics); Traffic signals; Battery performance; Battery thermal managements; Fuzzy controllers; Fuzzy logic controllers; Heating and cooling systems; Irreversible capacity loss; Thermal management systems; Uniform temperature; Lithium-ion batteries
author2 7103014445
author_facet 7103014445
Hannan M.A.
Young Y.S.
Hoque M.M.
Ker P.J.
Uddin M.N.
format Conference Paper
author Hannan M.A.
Young Y.S.
Hoque M.M.
Ker P.J.
Uddin M.N.
spellingShingle Hannan M.A.
Young Y.S.
Hoque M.M.
Ker P.J.
Uddin M.N.
Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
author_sort Hannan M.A.
title Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
title_short Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
title_full Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
title_fullStr Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
title_full_unstemmed Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
title_sort lithium ion battery thermal management system using optimized fuzzy controller
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427457331396608
score 13.211869

Similar Items