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DTSTAMP:20230913T203041Z
UID:09CDB016-DBC5-4968-80E5-3014CE29E7CC
DTSTART;TZID=America/New_York:20230912T180000
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DESCRIPTION:This presentation explores the interrelation between the rapid 
 advancements in Electric Vehicle (EV) battery manufacturing processes and 
 their potential dual-use applications in defense operations. As the EV mar
 ket rapidly grows\, the emphasis on efficient manufacturing\, in-depth tes
 ting\, and seamless data interconnectivity across test systems becomes par
 amount. These advancements are relevant in research engagements with the A
 ir Force and Space Force.\n\nIn the EV battery manufacturing industry\, st
 rict quality measures coupled with innovative testing approaches\, includi
 ng pulse and thermography scanning\, are employed. Critical to this discus
 sion is data aggregation across sensors and test stations\, providing a ho
 listic digital representation of assembled EV battery packs. Digital repre
 sentations improve production throughput\, product quality\, traceability\
 , and life cycle considerations for manufacturers.\n\nBeyond the automated
  factory setting\, the principles underlying sensor data aggregation suppo
 rt defense applications in generating a Common Operating Picture (COP) acr
 oss energized assets including aerospace ground equipment. The COP\, facil
 itated by persistent data-ingestion protocols\, promises swift information
  exchange from the edge to network for real-time situational awareness and
  quick decision-making. These benefits improve operations and offer time s
 avings for managing assets on the flight line or spaceport.\n\nCo-sponsore
 d by: Robotics and Automation Society (RAS)\n\nSpeaker(s):  Roman Sandoval
  \, \n\nMIT Lincoln Laboratory\, 3 Forbes Road\, Lexington\, MA \, Massach
 usetts\, United States
LOCATION:MIT Lincoln Laboratory\, 3 Forbes Road\, Lexington\, MA \, Massach
 usetts\, United States
ORGANIZER:fscire@icloud.com
SEQUENCE:6
SUMMARY:"Dual-Use Sensor Applications from Electric Vehicle (EV) Battery Ma
 nufacturing Test to Defense Operational Efficiency"
URL;VALUE=URI:https://events.vtools.ieee.org/m/370377
X-ALT-DESC:Description: <br /><p>This presentation explores the interrelati
 on between the rapid advancements in Electric Vehicle (EV) battery manufac
 turing processes and their potential dual-use applications in defense oper
 ations. As the EV market rapidly&nbsp\;grows\, the emphasis on efficient m
 anufacturing\, in-depth testing\, and seamless data interconnectivity acro
 ss test systems becomes paramount. These advancements are relevant in rese
 arch engagements with the Air Force and Space Force.&nbsp\;<br /><br />In 
 the EV battery manufacturing industry\, strict quality measures coupled wi
 th innovative testing approaches\, including pulse and thermography scanni
 ng\, are employed. Critical to this discussion is data aggregation across 
 sensors and test stations\, providing a holistic digital representation of
  assembled EV battery packs. Digital representations improve&nbsp\;product
 ion throughput\, product quality\, traceability\, and life cycle considera
 tions for manufacturers.&nbsp\;<br /><br />Beyond the automated factory se
 tting\, the principles underlying sensor data aggregation support&nbsp\;de
 fense applications in generating a Common Operating Picture (COP) across e
 nergized assets including aerospace ground equipment. The COP\, facilitate
 d by persistent data-ingestion protocols\, promises swift information exch
 ange from the edge to network for real-time situational&nbsp\;awareness an
 d quick decision-making. These benefits improve&nbsp\;operations and offer
 &nbsp\;time savings for managing assets on the flight line or spaceport.</
 p>
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