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Model-based end of discharge temperature prediction for lithium-ion batteries
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Faraji Niri, Mona, Bui, Truong Minh Ngoc, Yu, Tung Fai and Marco, James (2020) Model-based end of discharge temperature prediction for lithium-ion batteries. In: IFAC World Congress 2020, Virtual conference, 11-17 Jul 2020. Published in: IFAC-PapersOnLine, 53 (2). pp. 12701-12707. doi:10.1016/j.ifacol.2020.12.1861 ISSN 2405-8963.
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WRAP-Model-based-discharge-temperature-lithium-ion-batteries-Marco-2020.pdf - Accepted Version - Requires a PDF viewer. Download (2213Kb) | Preview |
Official URL: https://doi.org/10.1016/j.ifacol.2020.12.1861
Abstract
Battery fast charging is one of the key techniques that affects the public acceptability and commercialization of electric vehicles. Temperature is the critical barrier for fast charging as at low temperatures an increased risk of lithium plating and at high temperatures safety concerns limits the charging rate. To facilitate a fast charging mechanism, preconditioning the battery and maintaining its temperature is vital. Battery temperature prediction before a fast charging event can help reducing the energy consumption for battery preconditioning. In this paper, we propose a method for battery end of discharge temperature prediction for fast charging purposes. Firstly, a Gaussian mixture data clustering is performed on battery load data characterisation, subsequently a Markov model is trained for load prediction, and finally a battery lumped parameter equivalent circuit and thermal model is developed and employed for end of discharge time and ultimately end of discharge temperature prediction. Cylindrical lithium-ion battery is selected to prove the concept and both simulations and experiments show the capabilities of the proposed method for temperature prediction of batteries under load profiles obtained from real-world drive cycles of electric vehicles.
| Item Type: | Conference Item (Paper) | ||||||||
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Lithium ion batteries , Lithium ion batteries -- Temperature control, Lithium ion batteries -- Cooling, Battery chargers | ||||||||
| Journal or Publication Title: | IFAC-PapersOnLine | ||||||||
| Publisher: | Elsevier | ||||||||
| ISSN: | 2405-8963 | ||||||||
| Official Date: | 2020 | ||||||||
| Dates: |
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| Volume: | 53 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 12701-12707 | ||||||||
| DOI: | 10.1016/j.ifacol.2020.12.1861 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 23 July 2020 | ||||||||
| Date of first compliant Open Access: | 24 July 2020 | ||||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 | ||||||||
| Conference Paper Type: | Paper | ||||||||
| Title of Event: | IFAC World Congress 2020 | ||||||||
| Type of Event: | Conference | ||||||||
| Location of Event: | Virtual conference | ||||||||
| Date(s) of Event: | 11-17 Jul 2020 | ||||||||
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