Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Intelligent Control and Optimization for PV-Based EV Fast Charging Stations
FY 2017-18
Summary
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.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
514029-2017
Name nom
Gaber, Hossam
Department département
Energy Systems & Nuclear Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
303
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Alternative energy resources
Area of application fr
Autres ressources d'énergie
Research subject code
2300
Research subject group en
Fuel and energy technology
Research subject group fr
Combustibles et technologie de l'énergie
Research subject en
Fuel and energy technology (economic geology, use 4003)
Research subject fr
Combustibles et technologie de l'énergie (géologie économique, utiliser 4003)
Partie
1
Nb partie
1
Application title
Intelligent Control and Optimization for PV-Based EV Fast Charging Stations
Keyword
NSERC
Application summary
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.
