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UID:pretalx-16thmodelicafmiconference-ZWB9CL@pretalx.com
DTSTART;TZID=CET:20250910T143500
DTEND;TZID=CET:20250910T150000
DESCRIPTION:One of the most popular ways of measuring signals for various c
 omponents in vehicle on durability tracks will be Road Load Data Acquisiti
 on (RLDA) which gains load data through accelerated customer usages tests 
 on either proving ground or field\, using an instrumented vehicle. However
 \, under the current circumstances\, not only does a vehicle development c
 ycle get shorter but also new mobility concepts keep being developed\, a m
 ethodology is needed to cope with overall durability assessment in advance
  of a physical prototype being made for testing. In this study\, this virt
 ual testing methodology will be called Virtual RLDA. n this study\, one of
  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 brak
 e\, motor\, battery and thermal management are modelled and validated sepa
 rately\, then they are integrated into one large vehicle model as a part o
 f establishing the Virtual RLDA Platform which will be used for overall ve
 hicle level durability development in early stage in Hyundai Kia Motor Com
 pany (HKMC).
DTSTAMP:20260722T104238Z
LOCATION:Forum
SUMMARY:Development of a Multi-Physical Simulation Platform for\nDurability
  Prediction for Hyundai & Kia Electric Vehicles - Alessandro Picarelli\, J
 aewung Jung\, David Briant\, Kadir Sahin\, Garron Fish\, Victor-Marie Lebr
 un\, Christopher Stromberger\, Arnaud Colleoni\, Quentin Prieto
URL:https://pretalx.com/16thmodelicafmiconference/talk/ZWB9CL/
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