Real-time model predictive control for the optimal charging of a lithium-ion battery

Real-time model predictive control for the optimal charging of a lithium-ion battery. Torchio, M., Wolff, N. A., Raimondo, D. M., Magni, L., Krewer, U., Gopaluni, R. B., Paulson, J. A., & Braatz, R. D. In Proceedings of the American Control Conference, volume 2015-July, pages 4536–4541, 2015.
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© 2015 American Automatic Control Council.Li-ion batteries are widely used in industrial applications due to their high energy density, slow material degradation, and low self-discharge. The existing advanced battery management systems (ABMs) in industry employ semiempirical battery models that do not use first-principles understanding to relate battery operation to the relevant physical constraints, which results in conservative battery charging protocols. This article proposes a Quadratic Dynamic Matrix Control (QDMC) approach to minimize the charge time of batteries to reach a desired state of charge (SOC) while taking temperature and voltage constraints into account. This algorithm is based on an input-output model constructed from a first-principles electrochemical battery model known in the literature as the pseudo two-dimensional (P2D) model. In simulations, this approach is shown to significantly reduce charging time.

@inproceedings{torchio_real-time_2015,
	title = {Real-time model predictive control for the optimal charging of a lithium-ion battery},
	volume = {2015-July},
	copyright = {All rights reserved},
	isbn = {978-1-4799-8684-2},
	doi = {10.1109/ACC.2015.7172043},
	abstract = {© 2015 American Automatic Control Council.Li-ion batteries are widely used in industrial applications due to their high energy density, slow material degradation, and low self-discharge. The existing advanced battery management systems (ABMs) in industry employ semiempirical battery models that do not use first-principles understanding to relate battery operation to the relevant physical constraints, which results in conservative battery charging protocols. This article proposes a Quadratic Dynamic Matrix Control (QDMC) approach to minimize the charge time of batteries to reach a desired state of charge (SOC) while taking temperature and voltage constraints into account. This algorithm is based on an input-output model constructed from a first-principles electrochemical battery model known in the literature as the pseudo two-dimensional (P2D) model. In simulations, this approach is shown to significantly reduce charging time.},
	booktitle = {Proceedings of the {American} {Control} {Conference}},
	author = {Torchio, Marcello and Wolff, Nicolas A. and Raimondo, Davide M. and Magni, Lalo and Krewer, Ulrike and Gopaluni, R. Bushan and Paulson, Joel A. and Braatz, Richard D.},
	year = {2015},
	pages = {4536--4541},
}

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