Work

Creating an Extensive Parameter Database for Automotive 12 V Power Net Simulations: Insights from Vehicle Measurements in State-of-the-Art Battery Electric Vehicles

Year: 2025

Type: article

Abstract: The automotive 12 V power net is undergoing significant transitions driven by increasing power demand, higher availability requirements, and the aim to reduce wiring harness complexity. These changes are prompting a transformation of the power net architecture. To understand how future power net topologies will influence component requirements, electrical simulations are essential. They help to analyze the transient behavior of the future power net, such as under- and over-voltages, over-currents, and other harmful electrical phenomena. Accurate parametrization of the simulation models is crucial to obtain reliable results. This study focuses on the wiring harness, specifically its resistance and inductance, as well as the loads within the low-voltage power net, including their power profiles and input capacities. The parameters for this study were derived from vehicle measurements in three selected battery electric vehicles from different segments and enriched by virtual vehicle analyses. As a result, an extensive database of vehicle parameters was created, which is presented in the paper and can be used for power net simulations. In a next step, the collected data can be utilized to predict the parameters of various configurations in a zonal architecture setup.

Source: World Electric Vehicle Journal

DOI: 10.3390/wevj16050257

Authors: Sebastian Michael Peter Jagfeld, Tobias Schlautmann, Richard Weldle, Alexander Fill, Kai Peter Brike

Institutions: University of Stuttgart, Schaeffler (Germany)

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,689