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UID:20260510T165514EDT-9748Z2J7dv@132.216.98.100
DTSTAMP:20260510T205514Z
DESCRIPTION:Abstract\n\nIn this thesis\, performances of battery systems at
  both the cell and pack levels are examined through modeling and simulatio
 ns\, and control designs and algorithms are proposed and validated via off
 line simulation and controller-hardware-in-the-loop implementation to impr
 ove battery systems efficiency and ease their integration into the power g
 rid.\n\nAt the cell level\, the state-of-charge and temperature imbalance 
 can cause different aging rates and limit the battery pack’s available cap
 acity. To address these issues\, we propose a cell balancing control desig
 n for simultaneous state of charge and temperature balancing to subside th
 ese imbalances among battery cells during the charging process.\n\nAt the 
 pack level\, DC fast charging stations are growing in popularity to facili
 tate the fast charging of electric vehicles. However\, they can negatively
  affect the grid stability by causing fast load changes or exceeding the p
 ower transfer limit in the power line. Enabling bidirectional power transf
 er through vehicle-to-grid for electric vehicles’ batteries\, we aimed to 
 ease the growth of DC fast charging stations in grids. This strategy requi
 res control designs considering the battery system limits and characteriza
 tions. Distributed and centralized control designs are suggested for off-b
 oard bidirectional power electronics converter DC chargers to enable safe 
 and efficient vehicle-to-grid technology.\n\nIn the final stage of this st
 udy\, different validation methods\, their applications\, and their necess
 ities in the power electronics integration into power systems are studied 
 and proposed control designs are validated via the proposed method for the
  controller-hardware-in-the-loop validation employing a real-time simulato
 r and a digital industrial microcontroller.\n\nThe proposed control soluti
 ons aim to manage electric vehicle battery systems more effectively. The o
 btained results from both offline simulations and the controller-hardware-
 in-the-loop approach closely align and provide compelling evidence that th
 e proposed controllers significantly enhance the performance and longevity
  of battery systems.\n
DTSTART:20231018T140000Z
DTEND:20231018T160000Z
LOCATION:Room 603\, McConnell Engineering Building\, CA\, QC\, Montreal\, H
 3A 0E9\, 3480 rue University
SUMMARY:PhD defence of Asal Zabetian Hosseini – Effective Power Converter C
 ontrol Solutions for Electric Vehicle Battery Systems
URL:https://www.mcgill.ca/ece/channels/event/phd-defence-asal-zabetian-hoss
 eini-effective-power-converter-control-solutions-electric-vehicle-352024
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