Energy Management Algorithm for Battery Sharing based on Model Predictive Control integrating Electro-Thermal Simulation and Demand Forecast

• Published in: 2023 International Conference on Electrical Drives and Power Electronics (EDPE) pp. 1 - 7
• Main Authors: Hackl, Herbert, Freiberger, Manuel, Matzick, Philip, Stoiber, Martin, Auinger, Bernhard
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25-09-2023
• Subjects: battery charging; electro-thermal simulation; energy management; model predictive control (MPC); Prediction algorithms; Production; scheduling; Solar energy; Temperature; Thermal management; Thermal management of electronics; Weather forecasting
• ISSN: 2770-7652
• DOI: 10.1109/EDPE58625.2023.10274028

This paper presents the energy management algorithm implemented in an e-bike battery sharing station to control the parallel charging of many tens of batteries. The charging control targets energy-self-sufficient operation from solar energy only. To achieve that, model-based forecasts of the user demands, solar energy production as well as energy demand for thermal conditioning are employed. The latter is generated from electro-thermal simulation considering the self-heating of battery cells as function of charging current. Alternatively, exploiting bi-directional charging capabilities of the used DC/DC converters, the control algorithm predicts the best scheme of grid-oriented operation to maximize profit from energy micro trading, facilitating the batteries in the station as buffer storage and respecting time-variant stock market prices.