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1
A Full Study of a PHEV Charging Facility based on Global Optimization and Real-Time Simulation

Emesto Inoa,Feng Guo,Jin Wang,Woongchul Choi 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5
- 원문보기
This paper provides insight into two important issues arising in scenarios with high level of penetration of photovoltaic (PVs) based Plug-In Hybrid Vehicles (PHEVs) charging stations. Namely, the paper proposes a method to determine the optimal size of the local energy storage (LES) for a charging facility and also develops the control strategy for the proper integration of these LES and PVs with the PHEV charging stations. The proposed LES sizing method, which is based on optimal control theory, minimizes a cost function based on the average value of kWh price, irradiance and PHEVs usage patterns. A power-loss/temperature model and a temperature based charging strategy, previously developed by the authors, are utilized in determine the optimized LES sizing. Then, with the optimized facility parameters, a detailed circuit model of a charging facility is built. Control strategies of the power electronics networks in this charging facility is proposed and tested with real time simulations.
2
Study on Global Optimization and Control Strategy Development for a PHEV Charging Facility

Feng Guo,Inoa, E.,Woongchul Choi,Jin Wang IEEE 2012 IEEE Transactions on Vehicular Technology VT Vol.61 No.6
- 원문보기
<P>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.</P>
3
Mechanical Thrombectomy Access for All? Challenges in Increasing Endovascular Treatment for Acute Ischemic Stroke in the United States

Sushanth Rao Aroor,Kaiz S. Asif,Jennifer Potter-Vig,Arun Sharma,Bijoy K. Menon,Violiza Inoa,Cynthia B. Zevallos,Jose G. Romano,Santiago Ortega-Gutierrez,Larry B. Goldstein,Dileep R. Yavagal 대한뇌졸중학회 2022 Journal of stroke Vol.24 No.1
- 원문보기
Mechanical thrombectomy (MT) is the most effective treatment for selected patients with an acute ischemic stroke due to emergent large vessel occlusions (LVOs). There is an urgent need to identify and address challenges in access to MT to maximize the numbers of patients who can benefit from this treatment. Barriers in access to MT include delays in evaluation and accurate diagnosis of LVO leading to inappropriate triage, logistical delays related to availability of facilities and trained interventionalists, and financial hurdles that affect treatment reimbursement. Collection of regional data related to these barriers is critical to better understand current access gaps and a measurable access score to thrombectomy could be useful to plan local public health intervention.