Skip to main content

This document explores the development of a comprehensive Virtual RLDA (Road Load Data Acquisition) platform for Hyundai and Kia electric vehicles using Dymola, Modelica, VeSyMA, TiL, and Dassault Systèmes multi-physics libraries.

The research focuses on integrating high-fidelity vehicle controller, suspension, brake, motor, battery, thermal management, and vehicle dynamics models into a unified simulation environment capable of predicting both structural and powertrain durability before physical prototypes are available. By combining electrical, thermal, mechanical, and hydraulic system simulations with real-world validation scenarios including rough roads, harsh acceleration and braking events, and mountainous driving conditions, the study demonstrates how virtual durability workflows can accurately reproduce vehicle loads, thermal behaviour, suspension dynamics, and powertrain responses. The work highlights the value of scalable digital twin methodologies and multi-domain simulation for reducing physical testing requirements, accelerating EV development, and improving durability prediction and optimisation for next-generation electric vehicles.

Development of a Multi-Physical Simulation Platform for Durability HMC

This document presents the development of a multi-physics virtual durability simulation platform using Dymola and Modelica for predicting structural, thermal, electrical, and powertrain durability of Hyundai and Kia electric vehicles.

Download now

Get in touch