Predictive Fast Charging of Lithium-ion Battery with Electro-Thermal Constraints

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) attributed to their advantages of high energy density and long cycle life. In this vision, fast charging of the LIB system has been a crucial technology to promote the large-scale penetration of EVs in the existing automotive market. Motivated by this, a thermal-constrained fast charging method is proposed based on the model predictive control (MPC) concept in this paper. A coupled electro-Thermal model is established, based on which two model-based observers are devised to estimate the state of charge (SOC) and internal temperature of LIB. On this premise, an MPC-based controller is exploited to trade-off smartly the charging fastness and the physical constraints. Comparative results show that the proposed method can optimize the charging towards high speed while keep the terminal voltage and battery internal temperature both within the safety region, which forms an obvious superiority over the traditionally-used constant-current-constant-voltage (CC-CV) protocol.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages615-620
Number of pages6
ISBN (Electronic)9781728149646
DOIs
Publication statusPublished - 20 Jul 2020
Event18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, United Kingdom
Duration: 21 Jul 202023 Jul 2020

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
Volume2020-July
ISSN (Print)1935-4576

Conference

Conference18th IEEE International Conference on Industrial Informatics, INDIN 2020
Country/TerritoryUnited Kingdom
CityVirtual, Warwick
Period21/07/2023/07/20

Keywords

  • Lithium-ion battery
  • electro-Thermal model
  • fast charging
  • model predictive control

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