Development of a Multi-Physical Simulation Platform for Durability Prediction for Hyundai & Kia Electric Vehicles

One of the most popular ways of measuring signals for various components in vehicle on durability tracks will be Road Load Data Acquisition (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 cycle get shorter but also new mobility concepts keep being developed, a methodology is needed to cope with overall durability assessment in advance of a physical prototype being made for testing. In this study, this virtual 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 brake, motor, battery and thermal management are modelled and validated separately, then they are integrated into one large vehicle model as a part of establishing the Virtual RLDA Platform which will be used for overall vehicle level durability development in early stage in Hyundai Kia Motor Company (HKMC).