A Model Predictive Control Approach for Lithium-ion Capacitor Optimal Charging

  • Pankaj Saha
  • , Mahdi Soltani
  • , Stig Munk-Nielsen
  • , Daniel-Ioan Stroe

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

Lithium-ion capacitors (LiCs) benefit from high power and energy density. They outperform Li-ion batteries in fast charging. The charging protocol is vital for LiCs, affecting the cell’s efficiency, safety, and lifetime. In this paper, an optimal charging scheme for LiCs has been developed. The charging current trajectory is obtained using model predictive control (MPC)-based optimization that minimizes the charging time, satisfying the cell’s operating conditions. An equivalent electro-thermal model of LiC has been considered in designing the charging scheme. The model parameters are experimentally identified considering the commercially available 2100F Musashi LiC cells. The performance of the proposed charging scheme has been evaluated via simulation studies. The results show that the MPC scheme charges LiC up to the desired SOC level in a CC-CV protocol, respecting the provided boundary conditions. For different initial SOC levels, power acceptance variation has been examined between CC and CV charging phases. Finally, the proposed scheme has been evaluated for different C-rates.
Original languageEnglish
Title of host publication2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages8
ISBN (Electronic)978-90-75815-41-2
ISBN (Print)979-8-3503-1678-0
DOIs
Publication statusPublished - 8 Sept 2023
MoE publication typeA4 Article in a conference publication
Event2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) - Aalborg, Denmark
Duration: 4 Sept 20238 Sept 2023

Conference

Conference2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Country/TerritoryDenmark
CityAalborg
Period4/09/238/09/23

Funding

This research is part of the SENSE - Sustainable Energy Systems project, which is supported by the Energy Technology Development and Demonstration Program (EUDP), Denmark, under grant number 64019-00114.

Keywords

  • Lithium-ion capacitor (LiC)
  • Model predictive control
  • Modeling
  • Optimal charging

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