2026-04-11T07:17:55Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/63982024-05-24T11:21:51Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Dorronsoro, Xabier author GARAYALDE, ERIK author IRAOLA, UNAI author 2023 This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and aging model of a lithium-ion battery cell is developed. We then leverage this model to develop a Nonlinear Model Predictive Control (NL-MPC) to manage the energy flow between the battery, grid, solar generation and the EV charging loads. The NL-MPC aims to reduce the total operating electricity and battery depreciation costs, while taking into account temperature, state of charge, current and voltage constraints. Simulation results, based on a case study from a Spanish EV charging station, demonstrate the effectiveness of the proposed approach. 979-8-3503-4445-5 2769-4186 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174475 https://hdl.handle.net/20.500.11984/6398 Electric vehicle Charging stations MPC Batteries cost optimization ODS 7 Energía asequible y no contaminante ODS 11 Ciudades y comunidades sostenibles ODS 13 Acción por el clima Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models