Electrical Vehicle Charging Infrastructure Design and Operations

California aims to achieve five million zero-emission vehicles (ZEVs) on the road by 2030 and 250,000 electrical vehicle (EV) charging stations by 2025. To reduce barriers in this process, the research team developed a simulation-based system for EV charging infrastructure design and operations. The increasing power demand due to the growing EV market requires advanced charging infrastructures and operating strategies. This study will deliver two modules in charging station design and operations, including a vehicle charging schedule and an infrastructure planning module for the solar-powered charging station. The objectives are to increase customers’ satisfaction, reduce the power grid burden, and maximize the profitability of charging stations using state-of-the-art global optimization techniques, machine-learning-based solar power prediction, and model predictive control (MPC). The proposed research has broad societal impacts and significant intellectual merits. First, it meets the demand for green transportation by increasing the number of EV users and reducing the transportation sector’s impacts on climate change. Second, an optimal scheduling tool enables fast charging of EVs and thus improves the mobility of passengers. Third, the designed planning tools enable an optimal design of charging stations equipped with a solar panel and battery energy storage system (BESS) to benefit nationwide transportation system development.

• Record URL:
  • https://doi.org/10.31979/mti.2023.2240
• Summary URL:
  • https://transweb.sjsu.edu/sites/default/files/2240-RB-Yang-Electrical-Vehicle-Charging-Infrastructure-Design.pdf
• Summary URL:
  • https://rosap.ntl.bts.gov/view/dot/68200
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/68112
• Corporate Authors:

  Mineta Transportation Institute

  College of Business
  San José State University
  San Jose, CA  United States  95192-0219

  State of California

  Trustees of the California State University
  Long Beach, CA  United States 

  California Department of Transportation

  Sacramento, CA  United States  95819

  Department of Transportation

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Yang, Yu
  • Yeh, Hen-Geul
• Publication Date: 2023-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 52p

Subject/Index Terms

• TRT Terms: Design; Electric vehicle charging; Optimization; Schedules and scheduling; Simulation; Solar energy
• Geographic Terms: California
• Subject Areas: Energy; Highways; Planning and Forecasting; Terminals and Facilities;

Filing Info

• Accession Number: 01887417
• Record Type: Publication
• Report/Paper Numbers: 23-14, CA-MTI-2240
• Contract Numbers: ZSB12017-SJAUX
• Files: NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Jul 17 2023 9:13AM