Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. - Florian Bierwirth; Joachim Fröschl; Jürgen Gebert; Hans-Georg Herzog (EVER, 2020)

System Analysis of Vehicle Low-Voltage Energy Paths as Initial Step for a Predictive Diagnosis. - Florian Bierwirth; Joachim Fröschl; Jürgen Gebert; Hans-Georg Herzog (EVER, 2020)

Determining Vehicle Energy Paths' Remaining Useful Life using Design of Experiments. - Florian Bierwirth; Joachim Fröschl; Jürgen Gebert; Hans-Georg Herzog (EVER, 2020)

Methodology for an Offline Outlier Detection in a Dynamic Measurement Data Set. - Osman Aksu; Bastian Eisenmann; Michael Schmid; Florian Bierwirth; Misel Radosavac; Hans-Georg Herzog (VTC Fall, 2024)

State Model and Energy Consumption Analysis based on Automotive Lighting Signals. - Osman Aksu; Xinyi Liu; Michael Schmid; Florian Bierwirth; Misel Radosavac; Hans-Georg Herzog (VTC Fall, 2024)

Conceptualisation of a Parameterizable Low-Pass Filter for Resolving Measurement Data. - Michael Schmid; Bastian Eisenmann; Osman Aksu; Misel Radosavac; Florian Bierwirth; Hans-Georg Herzog (IPAS, 2025)