Suitability Electric Vehicle Charging Infrastructure and Impact on Power Grid & Baltimore Section Executive Committee (ExCom) Meeting 8 September 2025

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This will be followed by the Section ExCom meeting.
The meeting is open to all Section members.

18:30 - light dinner & networking
19:00 - presentation
19:45 - ExCom Meeting

20:30 - adjourn

 



  Date and Time

  Location

  Hosts

  Registration



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  • UMBC
  • 1000 Hilltop Circle
  • Catonsville, Maryland
  • United States 21228
  • Building: Commons
  • Room Number: 329

  • Contact Event Hosts
  • Starts 26 December 2024 05:00 AM UTC
  • Ends 08 September 2025 08:00 PM UTC
  • No Admission Charge


  Speakers

Pravin Sankhwar

Topic:

Suitability Electric Vehicle Charging Infrastructure and Impact on Power Grid Due to Electrification of Roadway Trans

Understanding the types of electrical vehicle charging infrastructure for automobiles, buses, trucks, and motorcycles is key where electrification is concerned. Starting from slow to fast and ultra-fast charging equipment commercially available, the grid is often exposed to intermittent loading and the addition of elements that impact stability. This study is focused on documenting the challenges associated with the addition of EV charging infrastructure to current power systems. By studying available charging options for each type of vehicle, a planned selection of sites and capacity of chargers will allow customers to learn when, ideally, to be plugged in. Previous studies documented a typical capacity of charging infrastructure required based on the anticipated number of electric vehicles in the next thirty years. However, there is a need for the establishment of impacts due to connected EV loads. Unlike known demand curves for loads such as lighting, power, process equipment, and so on, the prediction of EV demand curves is significantly limited due to a lack of past data. By utilizing publicly available data on existing charging infrastructure, a detailed layout of additional chargers for a typical city
in the United States is a subject of study in this paper. Some of the concepts in accurately predicting suitable types of infrastructure (such as slow vs fast and ultra-fast) for each vehicle type become a subject of importance in electrification and become key to this transition. Some limitations of this study include a lack of accurate forecasting and shifting user preference to other technologies.

Biography:

With a passion for environmental stewardship and a commitment to sustainable practices in the electrical engineering industry, Pravin Sankhwar brings an extensive amount of experience in engineering design and research. Holding a degree in master’s in electrical engineering from Michigan Tech, a bachelor’s in electrical engineering from Malviya National Institute of Technology, and a PhD candidate, he combines academic knowledge with practical expertise to drive meaningful change in renewable energy industry. Throughout his career, Pravin Sankhwar has successfully led projects that promote sustainable initiatives, reduce carbon footprints, and engage communities in
eco-friendly practices. He believes in the power of collaboration and innovative thinking to address today’s environmental challenges. Pravin Sankhwar is a licensed Professional Engineer in Maryland and Texas.