Lithium-Ion Battery Charging Control Using a Coupled Electro-Thermal Model and Model Predictive Control

If you use this software in your work please cite the reference [2] below or this repository using the following DOI

This repository contains the battery charging control algorithm for the A123 26650 m1b cell developed and used in the following publications

[1] Kawakita de Souza, A. (2020). Advanced Predictive Control Strategies for Lithium-Ion Battery Management Using a Coupled Electro-Thermal Model [Master thesis, University of Colorado, Colorado Springs]. ProQuest Dissertations Publishing.

[2] A. K. de Souza, G. Plett and M. S. Trimboli, "Lithium-Ion Battery Charging Control Using a Coupled Electro-Thermal Model and Model Predictive Control," 2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 2020, pp. 3534-3539, doi: 10.1109/APEC39645.2020.9124431.

• This software uses Model Predictive Control(MPC) to enforce constraints on current, voltage and temperature during charging.
• The underlying model of this MPC-based algorithm is a coupled electro-thermal (CET) model developed in thesis above. The details of the CET model is presented below. The CET model can be parameterized using the A123 26650 dataset . For details about the model parameterization see the thesis.
  
• mainMPC.m is the main file to run the MPC algorithm

References:
[1] G. L. Plett, Battery Management Systems, Volume 1: Battery Modeling. Artech House, 2015.
[2] X. Lin, H. E. Perez, S. Mohan, J. B. Siegel, A. G. Stefanopoulou,Y. Ding, and M. P. Castanier, “A lumped-parameter electro-thermal model for cylindrical batteries,”Journal of PowerSources, vol. 257, pp. 1–11, Jul. 2014.
[3] G. L. Plett, Battery Management Systems, Volume 2: Equivalent-Circuit Methods. Artech House, 2015.
[4] M. A. Xavier and M. S. Trimboli, “Lithium-ion battery cell-level control using constrained model predictive control and equivalent circuit models,” Journal of Power Sources, vol. 285, pp. 374–384, 2015.