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Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives

The optimal initial pre-conditioning parameter is essential to properly adjust the temperature within the cabin in an effective and accurate way, especially while passengers’ thermal comfort and energy-saving properties are both considered. Under the various environmental thermal loads, the pre-cond...

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Detalles Bibliográficos
Autores principales: Li, Weijian, Chen, Jiqing, Lan, Fengchong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126406/
https://www.ncbi.nlm.nih.gov/pubmed/35604922
http://dx.doi.org/10.1371/journal.pone.0266672
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author Li, Weijian
Chen, Jiqing
Lan, Fengchong
author_facet Li, Weijian
Chen, Jiqing
Lan, Fengchong
author_sort Li, Weijian
collection PubMed
description The optimal initial pre-conditioning parameter is essential to properly adjust the temperature within the cabin in an effective and accurate way, especially while passengers’ thermal comfort and energy-saving properties are both considered. Under the various environmental thermal loads, the pre-conditioning solutions resulting from those pre-fixed cooling parameters are unfeasible for achieving accurately passengers’ comfort temperature. In addition, it is also difficult in such a narrow car space to identify a lot of local attributes due to the different material properties and sizes of a variety of structural parts that have various thermal responses to environmental conditions. This paper presents a data-driven decision model to numerically identify the degrees of the cabin thermal characteristic to determine satisfactory pre-conditioning parameter schemes. Initially, based on the thermal data within a vehicle recorded through the whole year at a selected hot climate region of the Middle East, the study levels multiple climate scenes corresponding to change in the cabin air temperature. Then three classification algorithms (Support Vector Machines, Decision Tree, and K-nearest neighbor model) are used to comparatively identify climate levels according to the input conditions. Based on the identified climate level, an appropriate parameters scheme for this level is applied. A comprehensive evaluation index (CEI) is proposed to characterize the passengers’ satisfaction in numerical computation, on considering multi-satisfaction objectives including Predicted Mean Vote (PMV), local temperature, air quality, and energy efficiency; and it formulates the pre-conditioning parameter scheme for each climate scene with CEI. Several scene cases are carried out to verify the effectiveness of the proposed models. The result shows that the pre-conditioning schemes of the model can effectively satisfy passengers in multi-satisfaction objectives.
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spelling pubmed-91264062022-05-24 Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives Li, Weijian Chen, Jiqing Lan, Fengchong PLoS One Research Article The optimal initial pre-conditioning parameter is essential to properly adjust the temperature within the cabin in an effective and accurate way, especially while passengers’ thermal comfort and energy-saving properties are both considered. Under the various environmental thermal loads, the pre-conditioning solutions resulting from those pre-fixed cooling parameters are unfeasible for achieving accurately passengers’ comfort temperature. In addition, it is also difficult in such a narrow car space to identify a lot of local attributes due to the different material properties and sizes of a variety of structural parts that have various thermal responses to environmental conditions. This paper presents a data-driven decision model to numerically identify the degrees of the cabin thermal characteristic to determine satisfactory pre-conditioning parameter schemes. Initially, based on the thermal data within a vehicle recorded through the whole year at a selected hot climate region of the Middle East, the study levels multiple climate scenes corresponding to change in the cabin air temperature. Then three classification algorithms (Support Vector Machines, Decision Tree, and K-nearest neighbor model) are used to comparatively identify climate levels according to the input conditions. Based on the identified climate level, an appropriate parameters scheme for this level is applied. A comprehensive evaluation index (CEI) is proposed to characterize the passengers’ satisfaction in numerical computation, on considering multi-satisfaction objectives including Predicted Mean Vote (PMV), local temperature, air quality, and energy efficiency; and it formulates the pre-conditioning parameter scheme for each climate scene with CEI. Several scene cases are carried out to verify the effectiveness of the proposed models. The result shows that the pre-conditioning schemes of the model can effectively satisfy passengers in multi-satisfaction objectives. Public Library of Science 2022-05-23 /pmc/articles/PMC9126406/ /pubmed/35604922 http://dx.doi.org/10.1371/journal.pone.0266672 Text en © 2022 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Weijian
Chen, Jiqing
Lan, Fengchong
Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title_full Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title_fullStr Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title_full_unstemmed Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title_short Environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
title_sort environmental conditions driven method for automobile cabin pre-conditioning with multi-satisfaction objectives
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126406/
https://www.ncbi.nlm.nih.gov/pubmed/35604922
http://dx.doi.org/10.1371/journal.pone.0266672
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