Air quality and comfort characterisation within an electric vehicle cabin

Luigi Russi; Paolo Guidorzi; Beatrice Pulvirenti; Giovanni Semprini; Davide Aguiari; Giovanni Pau

doi:10.1109/metroautomotive50197.2021.9502853

Air quality and comfort characterisation within an electric vehicle cabin

Luigi Russi, Paolo Guidorzi, Beatrice Pulvirenti, Giovanni Semprini, Davide Aguiari, Giovanni Pau

Universita di Bologna

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

This paper focuses on a sensors system setup for the characterization of the air quality within the cabin of a Battery Electric Vehicle (BEV). The concentration of PM2.5 and VOC are measured employing a low-cost Arduino-based system of sensors. Comparisons between the air quality measured in the cabin during different configurations of the air-ventilation system are provided and discussed. The main differences outlined are related to the open air and recirculation configurations. The air temperature distribution, together with various airborne pollutants are monitored and related to the energy consumption of the heating ventilation and air conditioning (HVAC) system. A wider concept of comfort is thus explored based on the use of sensors in the automotive scenario.

Original language	English
Title of host publication	2021 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2021 - Proceedings
Publisher	IEEE
Pages	169-174
Number of pages	6
ISBN (Electronic)	978-1-6654-3906-0
ISBN (Print)	978-1-6654-2983-2
DOIs	https://doi.org/10.1109/metroautomotive50197.2021.9502853
Publication status	Published - 6 Aug 2021
Externally published	Yes

Keywords

Electric vehicle
pollutant concentration
HVAC
Arduino sensors
vehicle energetics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/metroautomotive50197.2021.9502853

Cite this

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title = "Air quality and comfort characterisation within an electric vehicle cabin",

abstract = "This paper focuses on a sensors system setup for the characterization of the air quality within the cabin of a Battery Electric Vehicle (BEV). The concentration of PM2.5 and VOC are measured employing a low-cost Arduino-based system of sensors. Comparisons between the air quality measured in the cabin during different configurations of the air-ventilation system are provided and discussed. The main differences outlined are related to the open air and recirculation configurations. The air temperature distribution, together with various airborne pollutants are monitored and related to the energy consumption of the heating ventilation and air conditioning (HVAC) system. A wider concept of comfort is thus explored based on the use of sensors in the automotive scenario.",

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AU - Russi, Luigi

AU - Guidorzi, Paolo

AU - Pulvirenti, Beatrice

AU - Semprini, Giovanni

AU - Aguiari, Davide

AU - Pau, Giovanni

PY - 2021/8/6

Y1 - 2021/8/6

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AB - This paper focuses on a sensors system setup for the characterization of the air quality within the cabin of a Battery Electric Vehicle (BEV). The concentration of PM2.5 and VOC are measured employing a low-cost Arduino-based system of sensors. Comparisons between the air quality measured in the cabin during different configurations of the air-ventilation system are provided and discussed. The main differences outlined are related to the open air and recirculation configurations. The air temperature distribution, together with various airborne pollutants are monitored and related to the energy consumption of the heating ventilation and air conditioning (HVAC) system. A wider concept of comfort is thus explored based on the use of sensors in the automotive scenario.

KW - Electric vehicle

KW - pollutant concentration

KW - HVAC

KW - Arduino sensors

KW - vehicle energetics

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BT - 2021 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2021 - Proceedings

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ER -

Air quality and comfort characterisation within an electric vehicle cabin

Abstract

Keywords

UN SDGs

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