Courtier, N.E., Drummond, R., Ascencio, P. et al. (2 more authors) (2022) Discretisation-free battery fast-charging optimisation using the measure-moment approach. In: Proceeding of 2022 European Control Conference (ECC). 2022 European Control Conference (ECC), 12-15 Jul 2022, London, United Kingdom. Institute of Electrical and Electronics Engineers (IEEE) , pp. 628-634. ISBN 9781665497336
Abstract
The development of safe and reliable battery fast-charging protocols is one of the key technologies needed to reduce our over-reliance on fossil fuel energy storage. Existing charging algorithms are typically generated by discretising a lumped parameter battery model in time and then solving a constrained numerical optimisation problem. One of the main limitations with this approach is that its performance is reliant upon the granularity of the time discretisation; too coarse a discretisation gives an inaccurate solution where the constraints may be violated between time steps; too fine a discretisation gives a rapid growth in computational complexity. To overcome this trade-off, a discretisation-free approach to solving the optimisation problem is proposed. By exploiting recent developments in the field of measure-moment theory, the method is able to generate discontinuous charging profiles from numerical solutions of a convex optimisation problem, which intrinsically satisfy the physical conservation laws of the model. Numerical examples highlight the potential of the approach for efficiently generating fast-charging protocols.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2022 EUCA. |
Keywords: | Adaptation models; Protocols; Computational modeling; Data models; Battery charge measurement; Batteries; Trajectory |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number ROYAL ACADEMY OF ENGINEERING (THE) ICRF\113 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 May 2023 12:51 |
Last Modified: | 04 May 2023 12:51 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.23919/ecc55457.2022.9838296 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197818 |