Evidence map›Paper›PMID 35062503›Full record

ArticleSensors (Basel, Switzerland)2022

Air Quality and Comfort Characterisation within an Electric Vehicle Cabin in Heating and Cooling Operations.

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Luigi RussiDepartment of Industrial Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0003-4522-8001
Paolo GuidorziDepartment of Industrial Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0001-7006-7938
Beatrice PulvirentiDepartment of Industrial Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-2607-525X
Davide AguiariDepartment of Computer Science and Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-4204-2482
Giovanni PauDepartment of Computer Science and Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0003-2216-7170
Giovanni SempriniDepartment of Industrial Engineering, Alma Mater Studiorum, University of Bologna, 40136 Bologna, Italy.ORCID 0000-0002-5388-8029

Funding

LiBER project POR-FESR Emilia-Romagna (Italy), 2014-2020
6 · The paper itself

Abstract

This work is aimed at the experimental characterisation of air quality and thermal profile within an electric vehicle cabin, measuring at the same time the HVAC system energy consumption. Pollutant concentrations in the vehicle cabin are measured by means of a low-cost system of sensors. The effects of the HVAC system configuration, such as fresh-air and recirculation mode, on cabin air quality, are discussed. It is shown that the PM concentrations observed in recirculation mode are lower than those in fresh-air mode, while VOC concentrations are generally higher in recirculation than in fresh-air mode. The energy consumption is compared in different configurations of the HVAC system. The novelty of this work is the combined measurement of important comfort parameters such as air temperature distribution and air quality within the vehicle, together with the real time energy consumption of the HVAC system. A wider concept of comfort is enabled, based on the use of low-cost sensors in the automotive field.

Indexed as

Arduino sensorselectric vehicleHVACpollutant concentrationvehicle energetics

Identifiers

PMID35062503
PMCPMC8778250

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.