ROM-Based Real-Time Simulation of EV Thermal Management System with a Heat Pump

Effective thermal management in electric vehicles (EVs) is critical for ensuring component safety and passenger comfort. As the demand for operational efficiency in EVs increases, there is a pressing need for advanced thermal management systems that integrate air conditioning, heat pumps, and intelligent control mechanisms. Comprehensive testing and validation of these control algorithms require models that accurately capture the interactions among thermal-fluid components while meeting real-time simulation requirements for hardware-in-the-loop (HIL) testing. The complex dynamics within the refrigeration subsystem, particularly involving AC and heat pumps, often present significant challenges to achieving real-time performance.

In this talk, explore a workflow utilizing reduced-order modeling (ROM) techniques to address these challenges. Through a case study featuring an EV thermal management system with a heat pump, modeled in Simscape Fluids™, see the creation of a data-driven, reduced-order model for the refrigeration subsystem. This model is then integrated with coolant and cabin models, successfully capturing the effects of refrigerants on other working fluids and providing essential feedback signals to the controllers. The resulting model is both real-time capable and sufficiently accurate for real-time HIL testing.

This session aims to equip engineers with the knowledge and tools to efficiently navigate the complexities of real-time simulation in EV thermal management systems. Learn how to apply this workflow and methodology to accelerate simulations of complex thermofluids models within Simscape™ or to incorporate models developed in third-party tools into Simulink^® for real-time simulations.