A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models

Alexander Bills, Mauro Salazar, Dong Zhang, Venkatasubramanian Viswanathan

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)
348 Downloads (Pure)

Samenvatting

Performance and degradation prediction along with control of lithium ion batteries is a critical tool to advance electrification of transportation across the world. In this work, we devise a quadratic battery model which retains the structure of higher fidelity models, thereby allowing for implementation of constraints on internal states to ensure safety and to limit degradation. We validate our model against a pseudo- 2-dimensional partial-differential-equation based model, and demonstrate that our model can achieve high accuracy in spite of its simple nature. Finally, we implement the proposed MPC algorithm in a high-fidelity simulator, demonstrating its ability to charge nearly twice as fast as the most commonly used charging protocols whilst respecting constraints on anode potential, temperature, current, and state of charge. Calculation of the MPC protocol takes less than 0.15 s, meaning it is capable of running in real time.
Originele taal-2Engels
Titel2022 American Control Conference (ACC)
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1794-1800
Aantal pagina's7
ISBN van elektronische versie978-1-6654-5196-3
DOI's
StatusGepubliceerd - 5 sep. 2022
Evenement2022 American Control Conference, ACC 2022 - Atlanta, Verenigde Staten van Amerika
Duur: 8 jun. 202210 jun. 2022
https://acc2022.a2c2.org/

Congres

Congres2022 American Control Conference, ACC 2022
Verkorte titelACC 2022
Land/RegioVerenigde Staten van Amerika
StadAtlanta
Periode8/06/2210/06/22
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