State Model and Energy Consumption Analysis based on Automotive Lighting Signals

With the development of electric vehicles, motor vehicles have gradually shifted from being dominated by mechanical functions to relying on electrical functions for control and operation. Additionally new features that improve driving experience have become research focus. Therefore, creating a mission profile and challenging the the real maximum energy consumption required for vehicle functions, is an enabler for new vehicle functions. This paper suggests a state model based on data collected from the Controller Area Network bus (CAN) for automotive lighting signals and conducts an in-depth analysis of their impact in combination with their analogue data on energy consumption. A vehicle state-dependent current requirement is obtained by examining the dynamic changes in current signals and correlating them with various lighting functions. The resulting pattern of regular current fluctuations provides correlations to the vehicles’ real energy consumption. This research is of significant importance within the context of future electric vehicle energy consumption.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757602
Citations
1
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.28
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article

State Model and Energy Consumption Analysis based on Automotive Lighting Signals

Hans–Georg Herzog, Michael Schmid, Florian Bierwirth, Xinyi Liu et al.
1 citations
Impact of Light on Environment and Health
0.28
article

State Model and Energy Consumption Analysis based on Automotive Lighting Signals

Hans–Georg Herzog, Michael Schmid, Florian Bierwirth, Xinyi Liu, Osman Aksu, Mišel Radosavac
article en
1 citations

Abstract

With the development of electric vehicles, motor vehicles have gradually shifted from being dominated by mechanical functions to relying on electrical functions for control and operation. Additionally new features that improve driving experience have become research focus. Therefore, creating a mission profile and challenging the the real maximum energy consumption required for vehicle functions, is an enabler for new vehicle functions. This paper suggests a state model based on data collected from the Controller Area Network bus (CAN) for automotive lighting signals and conducts an in-depth analysis of their impact in combination with their analogue data on energy consumption. A vehicle state-dependent current requirement is obtained by examining the dynamic changes in current signals and correlating them with various lighting functions. The resulting pattern of regular current fluctuations provides correlations to the vehicles’ real energy consumption. This research is of significant importance within the context of future electric vehicle energy consumption.

BMW Group (Germany) (DE), Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 39%
Impact of Light on Environment and Health
0.28
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State Model and Energy Consumption Analysis based on Automotive Lighting Signals — Hans–Georg Herzog, Michael Schmid, et al. · (2024) | TGRS Research Map | TGRS