A Data-Driven Approach for Electric Vehicle Powertrain Modeling

TL;DR

This paper introduces a modular, system-level simulation framework for electric vehicle powertrains that integrates diverse component models to accelerate development and validation processes.

Contribution

It presents a standardized, scalable approach for integrating data-driven, physics-based, and empirical models into cohesive powertrain simulations.

Findings

Enables independent development and integration of component models.

Facilitates faster virtual validation of electric vehicle powertrains.

Supports scalable and flexible system-level modeling.

Abstract

Electrification in the automotive industry and increasing powertrain complexity demand accelerated, cost-effective development cycles. While data-driven models are recently investigated at component level, a gap exists in systematically integrating them into cohesive, system-level simulations for virtual validation. This paper addresses this gap by presenting a modular framework for developing powertrain simulations. By defining standardized interfaces for key components-the battery, inverter, and electric motor-our methodology enables independently developed models, whether data-driven, physics-based, or empirical, to be easily integrated. This approach facilitates scalable system-level modeling, aims to shorten development timelines and to meet the agile demands of the modern automotive industry.