Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Canada is moving towards deployment of electric vehicles, which requires large capacity chargingx000D
infrastructures. To meet charging capacity and time requirements, fast charging stations are preferred. Alternatex000D
Power International (API) is active in developing, integrating, and installing solar / Photovoltaic (PV) systemsx000D
in Canada and worldwide. API is seeking advanced PV-based charging stations to support transportationx000D
infrastructures to meet Ontario/Canada requirements of clean energy. This project is aiming at the design,x000D
control and optimization of PV-based fast charging stations to support electric vehicles (EVs) using integratedx000D
Photovoltaic (PV) and intelligent control system with hysteresis control strategy and optimization techniques.x000D
The proposed design will allow PV systems, provided by Alternate Power International Ltd., to providex000D
maximum power for improved system with high Return-On-Investment (ROI). The proposed fast chargingx000D
stations will be implemented in residential and public charging infrastructures.x000D
The energy management in the station is performed by an intelligent control algorithm that directs the powerx000D
flows among the PV, fast chargers, the energy storage system and the grid connection. There is a clear trade-offx000D
between the size of the PV system, energy storage system, and the power rating of the grid connection.x000D
Different mobility and charging models will be synthesized, analyzed, and optimized to achieve high ROIx000D
based on station design, demands, and operation requirements, as well as weather forecasting. Moreover, withx000D
different-range vehicles, this technology can be tuned and optimized to supply all the power required for EVsx000D
and the supporting utilities. The proposed system will include PV system, battery, converters / inverters,x000D
charger head module, grid interface module, control systems, as well as integrated energy optimization system.x000D
Intelligent optimization algorithms will be developed to optimize PV system design and their integration. Forx000D
each part of the system, physical and economical models will be evaluated and optimized. A techno-economicx000D
optimization algorithms will be developed to ensure overall high performance and profits.