학술논문

A Model Predictive Control Approach for Lithium-ion Capacitor Optimal Charging
Document Type
Conference
Source
2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) Power Electronics and Applications (EPE'23 ECCE Europe), 2023 25th European Conference on. :1-8 Sep, 2023
Subject
Aerospace
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Protocols
Capacitors
Europe
Predictive models
Real-time systems
Power electronics
Trajectory
Lithium-ion capacitor (LiC)
Modeling
Optimal charging
Model predictive control
Language
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.