In-Vehicle Sensor System for Monitoring Efficiency of Vehicle E/E Architectures
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: IEEE Sensors Letters, Jahrgang 9, Nr. 9, 6009804, 2025.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - In-Vehicle Sensor System for Monitoring Efficiency of Vehicle E/E Architectures
AU - Peitzmeier, Henning
AU - Horstkötter, Julin
AU - Tebruegge, Claas
AU - Kortmann, Felix
AU - Seibel, Arthur
AU - Bouattour, Ghada
N1 - Publisher Copyright: © IEEE. 2017 IEEE.
PY - 2025
Y1 - 2025
N2 - Automotive electronics form a system that has been iteratively expanded into a complex architecture. Without having access to manufacturer data, insights into the functional end electrical behavior of the subsystems and their interdependencies inside a vehicle remain unclear. This makes it difficult for research to develop sophisticated optimization solutions for energy consumption and computing power to accelerate the environmental impact reduction of the automotive sector and to fulfill governmental regulations. Existing measurement systems are either expensive or lack measurement granularity, which restricts accessibility to data and results in assumption-based contributions. This work presents a novel low-cost modular in-vehicle sensor system designed to monitor the energy consumption of automotive auxiliary systems. The novelty of this approach lies in breaking down the power consumption to the level of components [electronic control units (ECUs), sensors, and actuators], while supporting correlation with vehicle driving parameters. This approach allows users a wide range of applications for analyzing the computing power of individual ECUs, as well as the traceability of control logics by recording the activation/deactivation of actuators and sensors. The recording allows a digital image of the functions to be created and optimized in a simulation and compared with the real electrical/electronic architecture. This easy-to-integrate system, powered via USB and using adapter connectors for noninvasive setup, offers six channels to measure up to 18 V and 10 A at 200 Hz (12-bit resolution). Validated in a test vehicle on park distance control and surround view systems, it identified how vehicle speed affects sensor activation and ECU power, pinpointing opportunities for idle modes and energy savings.
AB - Automotive electronics form a system that has been iteratively expanded into a complex architecture. Without having access to manufacturer data, insights into the functional end electrical behavior of the subsystems and their interdependencies inside a vehicle remain unclear. This makes it difficult for research to develop sophisticated optimization solutions for energy consumption and computing power to accelerate the environmental impact reduction of the automotive sector and to fulfill governmental regulations. Existing measurement systems are either expensive or lack measurement granularity, which restricts accessibility to data and results in assumption-based contributions. This work presents a novel low-cost modular in-vehicle sensor system designed to monitor the energy consumption of automotive auxiliary systems. The novelty of this approach lies in breaking down the power consumption to the level of components [electronic control units (ECUs), sensors, and actuators], while supporting correlation with vehicle driving parameters. This approach allows users a wide range of applications for analyzing the computing power of individual ECUs, as well as the traceability of control logics by recording the activation/deactivation of actuators and sensors. The recording allows a digital image of the functions to be created and optimized in a simulation and compared with the real electrical/electronic architecture. This easy-to-integrate system, powered via USB and using adapter connectors for noninvasive setup, offers six channels to measure up to 18 V and 10 A at 200 Hz (12-bit resolution). Validated in a test vehicle on park distance control and surround view systems, it identified how vehicle speed affects sensor activation and ECU power, pinpointing opportunities for idle modes and energy savings.
KW - ADAS efficiency
KW - Automotive energy monitoring
KW - low-cost sensor system
KW - vehicle auxiliaries
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105013252163&partnerID=8YFLogxK
U2 - 10.1109/LSENS.2025.3597746
DO - 10.1109/LSENS.2025.3597746
M3 - Journal articles
AN - SCOPUS:105013252163
VL - 9
JO - IEEE Sensors Letters
JF - IEEE Sensors Letters
SN - 2475-1472
IS - 9
M1 - 6009804
ER -