Title :
Study on Global Optimization and Control Strategy Development for a PHEV Charging Facility
Author :
Guo, Feng ; Inoa, Ernesto ; Choi, Woongchul ; Wang, Jin
Author_Institution :
Ohio State Univ., Columbus, OH, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
This paper provides a full study of a photovoltaic (PV)-aided plug-in hybrid electric vehicle (PHEV) charging facility by investigating the two most challenging technical issues: 1) sizing of the local energy storage (LES) unit and 2) control strategies of the facility. First, the paper proposes a method for determining the optimal size of LES for a charging facility. Second, the paper develops a control strategy for the integration of the PHEV charging stations with the proposed LES and PVs. The proposed LES-sizing method, which is based on optimal control theory, minimizes a cost function based on the average value of kilowatt-hour price, irradiance, and PHEVs´ usage patterns. A power-loss/temperature-based battery model and a temperature-based charging strategy previously developed by the authors are utilized to determine the optimal LES size. Afterward, with the optimized facility parameters, a detailed circuit model of the charging facility, including PVs, PHEVs, and LES, is constructed with a real-time simulation system. While an experimental setup for this kind of complex and high-cost system was not readily feasible, real-time simulation was carried out to prove the effectiveness of the proposed control strategy. To validate the effectiveness and accuracy of the real-time simulation, control hardware-in-the-loop (HIL) and power-inverter-based experiments have been carried out at the subsystem level.
Keywords :
battery chargers; battery powered vehicles; embedded systems; optimal control; optimisation; solar cells; HIL; LES unit; LES-sizing method; PHEV charging stations; PHEV usage patterns; PV-aided PHEV charging facility; circuit model; control hardware-in-the-loop; control strategy development; global optimization; local energy storage unit; optimal control theory; optimal size; optimized facility parameters; photovoltaic aided plug-in hybrid electric vehicle charging facility; power-inverter-based experiments; power-loss-temperature-based battery model; real-time simulation system; temperature-based charging strategy; Batteries; Equivalent circuits; Integrated circuit modeling; Optimization; Real time systems; System-on-a-chip; Battery sizing; optimization; plug-in hybrid electric vehicle (PHEV) charging; power electronics interface circuit; real-time simulation; renewable-energy resources;
Journal_Title :
Vehicular Technology, IEEE Transactions on
Conference_Location :
5/3/2012 12:00:00 AM
DOI :
10.1109/TVT.2012.2195787