Intelligent Charge Rate Optimization of PHEVs Incorporating Driver Satisfaction and Grid Constraints
In this paper, an optimization model is developed to find a plug-in hybrid electric vehicle (PHEV) optimum charging rate profile that dynamically varies throughout the day. From the grid point of view, the model takes into account the constraints of maximum demand and charging facilities, while from the driver's point of view, waiting and charging time restrictions are considered. The novelty of this paper lies in maximizing the energy delivered to PHEVs in a region equipped with smart grid technology by intelligently alternating charging rates during the day while incorporating both driver satisfaction constraints as well as grid limitations. Using the proposed optimization model, two cases with optimized charging rates are studied and compared with constant charging levels. Furthermore, quantitative results from the perspective of both power grid contribution and driver satisfaction are presented and discussed in detail for each case.
Z. Darabi et al., "Intelligent Charge Rate Optimization of PHEVs Incorporating Driver Satisfaction and Grid Constraints," IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 5, pp. 1325-1332, Institute of Electrical and Electronics Engineers (IEEE), May 2017.
The definitive version is available at https://doi.org/10.1109/TITS.2016.2621049
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
Electric Power Transmission Networks; Hybrid Vehicles; Optimization; Smart Power Grids; Charging Rate; Driver Satisfaction; Optimization Modeling; Plug In Hybrid Electric Vehicles; Smart Grid; Plug-In Hybrid Vehicle; Optimization Model; Smart Grids; Batteries; Customer Satisfaction; Hybrid Electric Vehicles; Optimisation; Vehicle-to-Grid
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 May 2017