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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (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.
OriginalsprogEngelsk
Titel2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Antal sider8
ForlagIEEE
Publikationsdato8 sep. 2023
Sider1-8
Artikelnummer10264525
ISBN (Trykt)979-8-3503-1678-0
ISBN (Elektronisk)9789075815412
DOI
StatusUdgivet - 8 sep. 2023
Begivenhed2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) - Aalborg, Danmark
Varighed: 4 sep. 20238 sep. 2023

Konference

Konference2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Land/OmrådeDanmark
ByAalborg
Periode04/09/202308/09/2023

Fingeraftryk

Dyk ned i forskningsemnerne om 'A Model Predictive Control Approach for Lithium-ion Capacitor Optimal Charging'. Sammen danner de et unikt fingeraftryk.
  • SENSE

    Uhrenfeldt, C., Stroe, D., Munk-Nielsen, S., Steffensen, B., Soltani, M. & Saha, P.

    EUDP

    01/09/201931/12/2023

    Projekter: ProjektForskning

Citationsformater