Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring

David Tena-Gago; Qi Wang; Jose M. Alcaraz-Calero

doi:10.1016/j.iot.2023.100755

Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO₂emission monitoring

David Tena-Gago
, Qi Wang
, Jose M. Alcaraz-Calero

Research output: Contribution to journal › Article › peer-review

12 Citations (SciVal)

3 Downloads (Pure)

Abstract

Autonomous driving has gained momentum in recent years. To help create a sustainable future, an autonomous vehicle should take into account its carbon footprint. This work proposes a new, portable, cost-effective carbon dioxide (CO2) emissions sensor installed in a Light Duty Vehicle (LDV), as a novel enabler towards carbon footprint aware autonomous driving. This work achieves the ability to report real-time metrics about the instantaneous CO2 emissions whilst satisfying non-invasive procedures (weight <1 kg) by means of Unified Diagnostic Services (UDS) compliant interrogators. The proposed solution is validated in compliance with European Union’s official emissions test procedures, and compared with other commercial off-the-shelf solutions. During the test, a 50 km trip divided in 3 driving cycles is performed to obtain the instantaneous CO2 emission, achieving a measuring rate similar to other commercial, non-portable and expensive alternatives.

Original language	English
Article number	100755
Number of pages	13
Journal	Internet of Things (Netherlands)
Volume	22
Early online date	13 Mar 2023
DOIs	https://doi.org/10.1016/j.iot.2023.100755
Publication status	Published - Jul 2023

Bibliographical note

Copyright © 2023 The Authors. Published by Elsevier B.V. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.

Funding

This work is funded in part by the EU H2020 project ”5G INDUCE: Open Cooperative 5G Experimentation Platforms for The Industrial Sector NetApps” (Grant Agreement Number 101016941), EU H2020 project “ARCADIAN-IoT: Autonomous Trust, Security and Privacy Management Framework for IoT” (Grant Agreement Number 101020259), and EU HE project “INCODE: Programming platform for intelligent collaborative deployments over heterogeneous edge-IoT environments” (Grant Agreement Number 101093069).

Keywords

CO2 emissions
PEMS
CAN bus
vehicle pollution

Access to Document

10.1016/j.iot.2023.100755Licence: CC BY-NC-ND 4.0

Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring
Copyright © 2023 The Authors. Published by Elsevier B.V. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
Final published version, 3.69 MBLicence: CC BY-NC-ND 4.0

Cite this

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title = "Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring",

abstract = "Autonomous driving has gained momentum in recent years. To help create a sustainable future, an autonomous vehicle should take into account its carbon footprint. This work proposes a new, portable, cost-effective carbon dioxide (CO2) emissions sensor installed in a Light Duty Vehicle (LDV), as a novel enabler towards carbon footprint aware autonomous driving. This work achieves the ability to report real-time metrics about the instantaneous CO2 emissions whilst satisfying non-invasive procedures (weight <1 kg) by means of Unified Diagnostic Services (UDS) compliant interrogators. The proposed solution is validated in compliance with European Union{\textquoteright}s official emissions test procedures, and compared with other commercial off-the-shelf solutions. During the test, a 50 km trip divided in 3 driving cycles is performed to obtain the instantaneous CO2 emission, achieving a measuring rate similar to other commercial, non-portable and expensive alternatives. ",

keywords = "CO2 emissions, PEMS, CAN bus, vehicle pollution",

author = "David Tena-Gago and Qi Wang and Alcaraz-Calero, \{Jose M.\}",

note = "Copyright {\textcopyright} 2023 The Authors. Published by Elsevier B.V. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. ",

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AU - Wang, Qi

AU - Alcaraz-Calero, Jose M.

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AB - Autonomous driving has gained momentum in recent years. To help create a sustainable future, an autonomous vehicle should take into account its carbon footprint. This work proposes a new, portable, cost-effective carbon dioxide (CO2) emissions sensor installed in a Light Duty Vehicle (LDV), as a novel enabler towards carbon footprint aware autonomous driving. This work achieves the ability to report real-time metrics about the instantaneous CO2 emissions whilst satisfying non-invasive procedures (weight <1 kg) by means of Unified Diagnostic Services (UDS) compliant interrogators. The proposed solution is validated in compliance with European Union’s official emissions test procedures, and compared with other commercial off-the-shelf solutions. During the test, a 50 km trip divided in 3 driving cycles is performed to obtain the instantaneous CO2 emission, achieving a measuring rate similar to other commercial, non-portable and expensive alternatives.

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