Circularity in Automotive Electronics Design: A Comparative Evaluation of Headlight Control Units

The increasing integration of electronics in vehicles intensifies the problem of electronic waste and requires more sustainable design practices. To assess the current state of design, in this paper, a comprehensive analysis of 113 vehicle headlight Electronic Control Units (ECUs) from various manufacturers and vehicle classes based on the data from the A2Mac1 benchmarking platform is investigated. The basic product structure is summarized in a generic ECU model with averaged design properties, which can serve as a baseline for sustainability studies. In addition, the examination of the ECUs reveals advantageous and hindering design choices for circular design strategies, which are evaluated with a comparative circularity assessment. Joining methods such as rivet joints and adhesives are currently widespread, resulting in damage-free disassembly rates of 29.2 % for the housing and 25.7 % for the printed circuit board assembly. Finally, the suggestions from the 2023 proposal for the renewal of the European end-of-life vehicle regulation were applied to the ECUs examined. It was found that if the proposal is accepted, there is acute potential for action in accessibility to the printed circuit boards as all ECUs exceed the surface area limit of 10 cm 2 and must therefore be dismantled for recycling.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2024.12.096
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Circularity in Automotive Electronics Design: A Comparative Evaluation of Headlight Control Units

Arthur Seibel, Claas Tebruegge, Ghada Bouattour, Henning Peitzmeier
1 links
Procedia CIRP
Manufacturing Process and Optimization
article

Circularity in Automotive Electronics Design: A Comparative Evaluation of Headlight Control Units

Arthur Seibel, Claas Tebruegge, Ghada Bouattour, Henning Peitzmeier
article en

Abstract

The increasing integration of electronics in vehicles intensifies the problem of electronic waste and requires more sustainable design practices. To assess the current state of design, in this paper, a comprehensive analysis of 113 vehicle headlight Electronic Control Units (ECUs) from various manufacturers and vehicle classes based on the data from the A2Mac1 benchmarking platform is investigated. The basic product structure is summarized in a generic ECU model with averaged design properties, which can serve as a baseline for sustainability studies. In addition, the examination of the ECUs reveals advantageous and hindering design choices for circular design strategies, which are evaluated with a comparative circularity assessment. Joining methods such as rivet joints and adhesives are currently widespread, resulting in damage-free disassembly rates of 29.2 % for the housing and 25.7 % for the printed circuit board assembly. Finally, the suggestions from the 2023 proposal for the renewal of the European end-of-life vehicle regulation were applied to the ECUs examined. It was found that if the proposal is accepted, there is acute potential for action in accessibility to the printed circuit boards as all ECUs exceed the surface area limit of 10 cm 2 and must therefore be dismantled for recycling.

Procedia CIRPVol. 135
Leuphana University of Lüneburg (DE), Hella (Germany) (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 72%
Manufacturing Process and Optimization
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.