Using Physical Models for Powertrain and Control System Development

This document explores the application of multi-domain physical modelling using Modelica and Dymola for automotive powertrain and control system development. The presentation focuses on how predictive physical models can be used to simulate complex interactions between mechanical, electrical, thermal, hydraulic, pneumatic, and control systems across complete vehicle architectures.

Using modular component-based modelling approaches and libraries such as Engines, Powertrain Dynamics, Electric Drives, and Vehicle Dynamics, the work demonstrates how high-fidelity simulations support concept development, drivability analysis, whole-vehicle efficiency studies, control strategy validation, and Hardware-in-the-Loop (HiL) and Driver-in-the-Loop (DiL) applications. The document also highlights the use of FMI/FMU standards for integrating Dymola models with tools such as Simulink, while emphasising the growing role of real-time simulation and predictive modelling in reducing development costs, accelerating calibration processes, and supporting next-generation electrified powertrain development.