Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller

M. A. Hannan, Y. S. Young, M. M. Hoque, P. J. Ker, M. N. Uddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645390
DOIs
Publication statusPublished - Sep 2019
Event2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 - Baltimore, United States
Duration: 29 Sep 201903 Oct 2019

Publication series

Name2019 IEEE Industry Applications Society Annual Meeting, IAS 2019

Conference

Conference2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
CountryUnited States
CityBaltimore
Period29/09/1903/10/19

All Science Journal Classification (ASJC) codes

  • Filtration and Separation
  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Transportation

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  • Cite this

    Hannan, M. A., Young, Y. S., Hoque, M. M., Ker, P. J., & Uddin, M. N. (2019). Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller. In 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 [8912339] (2019 IEEE Industry Applications Society Annual Meeting, IAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2019.8912339