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Title
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
https://ror.org/00d9ah105https://ror.org/01460j859
Version
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2023 IEEEAccess
http://purl.org/coar/access_right/c_f1cfPublisher’s version
https://doi.org/10.1109/VPPC60535.2023.10403342Published at
IEEE Vehicle Power and Propulsion Conference (VPPC) Publisher
IEEEKeywords
Electric vehicle
Charging stations
MPC
Batteries ... [+]
Charging stations
MPC
Batteries ... [+]
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 [-]
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 [-]
Abstract
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 el ... [+]
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. [-]
