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 language | English |
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| Title of host publication | 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Number of pages | 8 |
| ISBN (Electronic) | 978-90-75815-41-2 |
| ISBN (Print) | 979-8-3503-1678-0 |
| DOIs | |
| Publication status | Published - 8 Sept 2023 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) - Aalborg, Denmark Duration: 4 Sept 2023 → 8 Sept 2023 |
Conference
| Conference | 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) |
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| Country/Territory | Denmark |
| City | Aalborg |
| Period | 4/09/23 → 8/09/23 |
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