Article 9 September 2024
Joris Jaguemont, Ali Darwiche and Fanny Bardé
774 Views279 Downloads
Article 9 September 2024
Joris Jaguemont, Ali Darwiche and Fanny Bardé
This paper presents an innovative approach to optimize the fast-charging strategy for cylindrical Li-ion NMC 3Ah cells, with a focus on enhancing both charging efficiency and thermal safety. Leveraging the power of Model Predictive Control (MPC)
This paper presents an innovative approach to optimize the fast-charging strategy for cylindrical Li-ion NMC 3Ah cells, with a focus on enhancing both charging efficiency and thermal safety. Leveraging the power of Model Predictive Control (MPC), we introduce a cost function that approximates the thermal safety boundary of Li-ion batteries, revealing a relationship between temperature gradient and state of charge. Our proposed approach formulates the fast and safe charging problem as an optimal output regulator problem, incorporating thermal safety margin constraints. To solve the optimization problem, we develop an MPC algorithm. Our charge control structure incorporates an equivalent circuit model coupled with a thermal equation for battery state of charge and temperature estimation. Through numerical validation with real experimental data obtained from testing an NMC 3Ah cylindrical cell, we demonstrate that our approach respects the battery’s electrical and thermal constraints throughout the charging process.
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Highlights of Vehicles
Volume 2 (2024), Issue 2, pp. 24–34
Volume 2 (2024), Issue 2, pp. 24–34
774 Views279 Downloads
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Volume 2 (2024), Issue 2, pp. 24–34