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SUMMARY:Development of a Multi-Physical Simulation Platform for\nDurabilit
 y Prediction for Hyundai & Kia Electric Vehicles - Alessandro Picarelli\, 
 Jaewung Jung\, David Briant\, Kadir Sahin\, Garron Fish\, Victor-Marie Leb
 run\, Christopher Stromberger\, Arnaud Colleoni\, Quentin Prieto
DTSTART;TZID=Europe/Zurich:20250910T143500
DTEND;TZID=Europe/Zurich:20250910T150000
DTSTAMP:20260818T171434Z
UID:pretalx-16thmodelicafmiconference-ZWB9CL@pretalx.com
DESCRIPTION:One of the most popular ways of measuring signals for various 
 components in vehicle on durability tracks will be Road Load Data Acquisit
 ion (RLDA) which gains load data through accelerated customer usages tests
  on either proving ground or field\, using an instrumented vehicle. Howeve
 r\, under the current circumstances\, not only does a vehicle development 
 cycle get shorter but also new mobility concepts keep being developed\, a 
 methodology is needed to cope with overall durability assessment in advanc
 e of a physical prototype being made for testing. In this study\, this vir
 tual testing methodology will be called Virtual RLDA. n this study\, one o
 f the most well-known electric vehicles in market is from Hyundai\, with 2
  in-wheel motors in rear which was chosen as the target vehicle. First\, 6
  major sub-systems such as vehicle controller\, suspension\, hydraulic bra
 ke\, motor\, battery and thermal management are modelled and validated sep
 arately\, then they are integrated into one large vehicle model as a part 
 of establishing the Virtual RLDA Platform which will be used for overall v
 ehicle level durability development in early stage in Hyundai Kia Motor Co
 mpany (HKMC).
LOCATION:Forum
URL:https://pretalx.com/16thmodelicafmiconference/talk/ZWB9CL/
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