<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>3886</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue>20</issue>
    <volume>2023</volume>
    <articleNumber>100443</articleNumber>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-08-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Influence of heating, air conditioning and vehicle automation on the energy and power demand of electromobility</title>
    <abstract language="eng">With the increasing number of electric vehicles in the transport sector, the relevance of accurate energy and power demand predictions of electromobility is growing. Thereby, different vehicle functions, especially heating and air conditioning and vehicle automation, have a significant influence. In accordance with the upcoming Euro-7 emissions standard, the energy consumption for heating even has to be contained in the manufacturer’s consumption data in the future. To increase the accuracy of energy and power demand predictions of electromobility, the energy consumption of vehicle functions such as heating and air conditioning as well as the energy savings through vehicle automation must be considered. &#13;
&#13;
This paper presents approaches for modeling and simulation the energy consumption of heating, air conditioning and vehicle automation which can be used as an extension of electric vehicles WLTP (Worldwide Harmonized Light-Duty Vehicles Test Procedure) consumption simulation on the level of vehicle classes. The Germany-wide results of the electric vehicles energy demand for heating and air conditioning on the level of NUTS3-areas (Nomenclature of territorial units for statistics) and vehicle classes show regionally different results and confirm the relevance of the research approach. Vehicle automation results are described on the level of the five SAE automation levels (Society of Automotive Engineers automation levels) and the vehicle classes. The approaches and results can be used for single vehicles or assumed vehicle fleets.</abstract>
    <parentTitle language="eng">Energy Conversion and Management: X</parentTitle>
    <identifier type="issn">2590-1745</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-38868</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.ecmx.2023.100443</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY-NC-ND 4.0</licence>
    <author>
      <first_name>Manuel</first_name>
      <last_name>Schweizer</last_name>
    </author>
    <author>
      <first_name>Martin</first_name>
      <last_name>Stöckl</last_name>
    </author>
    <author>
      <first_name>Robin</first_name>
      <last_name>Tutunaru</last_name>
    </author>
    <author>
      <first_name>Uwe</first_name>
      <last_name>Holzhammer</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy system modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electromobility</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Heating and air conditioning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Vehicle automation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy demand</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Power demand</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19321">Institut für neue Energie-Systeme (InES)</collection>
    <collection role="persons" number="26479">Holzhammer, Uwe</collection>
    <collection role="institutes" number="19568">Fakultät Nachhaltige Infrastruktur</collection>
    <collection role="institutes" number="19583">Forschungs- und Transferzentrum Nachhaltigkeit Neuburg (ForTraNN)</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3886/Upload.pdf</file>
  </doc>
</export-example>
