Faraji Niri, Mona, Marco, James, Dinh, Quang Truong and Yu, Tung Fai (2019) Two layer Markov model for prediction of future load and end of discharge time of batteries. In: International Conference on Mechatronics Technology , Salerno, Italy, 23-26 Dec 2019

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Abstract

To predict the remaining discharge energy of a battery, it is significant to have an accurate prediction of its end of discharge time (EoDT). In recent studies, the EoDT is predicted by assuming that the battery load profile (current or power) is a priori known. However, in real-world applications future load on a battery is typically unknown with high dynamics and transients. Therefore, predicting battery EoDT in an online manner can be very challenging. The purpose of this paper is to derive a load prediction method for capturing historical charge/discharge behaviour of a battery to generate the most probable future usage of it, enabling an accurate EoDT prediction. This method is based on a two layer Markov model for the load extrapolation and iterative model-based estimation. To develop the proposed concept, lithium-ion batteries are selected and the numerical simulation results show an improvement in terms of the accuracy of the EoDT prediction compared to methods presented in the literature.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics Q Science > QC Physics T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Markov processes
Publisher:	IEEE
Official Date:	15 August 2019
Dates:	Date Event 15 August 2019 Accepted
Date of first compliant deposit:	11 December 2019
Status:	Peer Reviewed
Publication Status:	Published
Publisher Statement:	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version:	Restricted or Subscription Access
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID EP/I01585X/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 UNSPECIFIED Innovate UK http://dx.doi.org/10.13039/501100006041 UNSPECIFIED Jaguar Land Rover (Firm) http://viaf.org/viaf/305209406
Conference Paper Type:	Paper
Title of Event:	International Conference on Mechatronics Technology
Type of Event:	Conference
Location of Event:	Salerno, Italy
Date(s) of Event:	23-26 Dec 2019
Related URLs:	Organisation

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