Intelligent Control and Optimization for PV-Based EV Fast Charging Stations

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Canada is moving towards deployment of electric vehicles, which requires large capacity charginginfrastructures. To meet charging capacity and time requirements, fast charging stations are preferred. AlternatePower International (API) is active in developing, integrating, and installing solar / Photovoltaic (PV) systemsin Canada and worldwide. API is seeking advanced PV-based charging stations to support transportationinfrastructures to meet Ontario/Canada requirements of clean energy. This project is aiming at the design,control and optimization of PV-based fast charging stations to support electric vehicles (EVs) using integratedPhotovoltaic (PV) and intelligent control system with hysteresis control strategy and optimization techniques.The proposed design will allow PV systems, provided by Alternate Power International Ltd., to providemaximum power for improved system with high Return-On-Investment (ROI). The proposed fast chargingstations will be implemented in residential and public charging infrastructures.The energy management in the station is performed by an intelligent control algorithm that directs the powerflows among the PV, fast chargers, the energy storage system and the grid connection. There is a clear trade-offbetween the size of the PV system, energy storage system, and the power rating of the grid connection.Different mobility and charging models will be synthesized, analyzed, and optimized to achieve high ROIbased on station design, demands, and operation requirements, as well as weather forecasting. Moreover, withdifferent-range vehicles, this technology can be tuned and optimized to supply all the power required for EVsand the supporting utilities. The proposed system will include PV system, battery, converters / inverters,charger head module, grid interface module, control systems, as well as integrated energy optimization system.Intelligent optimization algorithms will be developed to optimize PV system design and their integration. Foreach part of the system, physical and economical models will be evaluated and optimized. A techno-economicoptimization algorithms will be developed to ensure overall high performance and profits.