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

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 with analyzing the transient behavior of the future power net, such as under- and over-voltages, over-currents, and other harmful electrical phenomena. The accurate parametrization of simulation models is crucial in order 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 were enriched by virtual vehicle analyses. As a result, an extensive database of vehicle parameters was created and is presented in this paper, and it can be used for power net simulations. As a next step, the collected data can be utilized to predict the parameters of various configurations in a zonal architecture setup.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2025-05-02
DOI
https://doi.org/10.3390/wevj16050257
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Sebastian Michael Peter Jagfeld, Alexander Fill, Richard Weldle, Kai Peter Birke et al.
1 citations
World Electric Vehicle Journal
Electric and Hybrid Vehicle Technologies
0.68
article

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

Sebastian Michael Peter Jagfeld, Alexander Fill, Richard Weldle, Kai Peter Birke, Tobias Schlautmann
article en
1 citations

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 with analyzing the transient behavior of the future power net, such as under- and over-voltages, over-currents, and other harmful electrical phenomena. The accurate parametrization of simulation models is crucial in order 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 were enriched by virtual vehicle analyses. As a result, an extensive database of vehicle parameters was created and is presented in this paper, and it can be used for power net simulations. As a next step, the collected data can be utilized to predict the parameters of various configurations in a zonal architecture setup.

World Electric Vehicle JournalVol. 16(5)
University of Stuttgart (DE), Siemens (Germany) (DE), Schaeffler (Germany) (DE)
Openalex Percentile: Top 31%
Electric and Hybrid Vehicle Technologies
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.