Reference number : GC-2017-Q2-00345, amendment number : , agreement type : G, recipient legal name : Gaber, Hossam (University of Ontario Institute of Technology), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Canada is moving towards deployment of electric vehicles, which requires large capacity charging_x000D_
infrastructures. To meet charging capacity and time requirements, fast charging stations are preferred. Alternate_x000D_
Power International (API) is active in developing, integrating, and installing solar / Photovoltaic (PV) systems_x000D_
in Canada and worldwide. API is seeking advanced PV-based charging stations to support transportation_x000D_
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 integrated_x000D_
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 provide_x000D_
maximum power for improved system with high Return-On-Investment (ROI). The proposed fast charging_x000D_
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 power_x000D_
flows among the PV, fast chargers, the energy storage system and the grid connection. There is a clear trade-off_x000D_
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 ROI_x000D_
based on station design, demands, and operation requirements, as well as weather forecasting. Moreover, with_x000D_
different-range vehicles, this technology can be tuned and optimized to supply all the power required for EVs_x000D_
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. For_x000D_
each part of the system, physical and economical models will be evaluated and optimized. A techno-economic_x000D_
optimization algorithms will be developed to ensure overall high performance and profits., program purpose french : Canada is moving towards deployment of electric vehicles, which requires large capacity charging_x000D_
infrastructures. To meet charging capacity and time requirements, fast charging stations are preferred. Alternate_x000D_
Power International (API) is active in developing, integrating, and installing solar / Photovoltaic (PV) systems_x000D_
in Canada and worldwide. API is seeking advanced PV-based charging stations to support transportation_x000D_
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 integrated_x000D_
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 provide_x000D_
maximum power for improved system with high Return-On-Investment (ROI). The proposed fast charging_x000D_
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 power_x000D_
flows among the PV, fast chargers, the energy storage system and the grid connection. There is a clear trade-off_x000D_
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 ROI_x000D_
based on station design, demands, and operation requirements, as well as weather forecasting. Moreover, with_x000D_
different-range vehicles, this technology can be tuned and optimized to supply all the power required for EVs_x000D_
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. For_x000D_
each part of the system, physical and economical models will be evaluated and optimized. A techno-economic_x000D_
optimization algorithms will be developed to ensure overall high performance and profits., agreement title english : Intelligent Control and Optimization for PV-Based EV Fast Charging Stations, agreement title french : Intelligent Control and Optimization for PV-Based EV Fast Charging Stations, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada