Electric vehicle charging station planning analysis method based on traffic situation awareness

The invention provides an electric vehicle charging station planning analysis method based on traffic situation awareness, and relates to the technical field of charging station planning. According to the method, the traffic situation of a city is sensed through a large amount of online car-hailing...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: QU DEZHAN, ZHANG HUIJIE, HU XIYA, FENG ZIJUN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator QU DEZHAN
ZHANG HUIJIE
HU XIYA
FENG ZIJUN
description The invention provides an electric vehicle charging station planning analysis method based on traffic situation awareness, and relates to the technical field of charging station planning. According to the method, the traffic situation of a city is sensed through a large amount of online car-hailing trajectory data, and the features of the region are extracted. Therefore, experts are helped to understand travel rules of citizens, and charging station construction is carried out in a targeted manner. The charging requirements of electric vehicles are not uniformly dispersed in each region of a city, so that the urban traffic situation needs to be perceived, and the travel behaviors of citizens need to be analyzed; and constructing a layout optimization model suitable for charging station site selection. According to the large-scale electric vehicle charging demand, a sub-module objective function is constructed according to various influence factors of charging pile construction, a research area is reduced by c
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116542709A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116542709A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116542709A3</originalsourceid><addsrcrecordid>eNqNzE0KwjAQBeBsXIh6h_EAgvWn4lJKxZUr92VMJ00gJiEzKt7eiB7A1YPH995Yda0nLdlpeJB12hNoi3lwYQAWFBcDJI8hfAoM6F_sGG4kNvZwRaYeipCMxpQLdnL_bvCJmQIxT9XIoGea_XKi5sf20pwWlGJHnFAXJl1zrqp6u1ntlvvD-h_zBs9-PZw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Electric vehicle charging station planning analysis method based on traffic situation awareness</title><source>esp@cenet</source><creator>QU DEZHAN ; ZHANG HUIJIE ; HU XIYA ; FENG ZIJUN</creator><creatorcontrib>QU DEZHAN ; ZHANG HUIJIE ; HU XIYA ; FENG ZIJUN</creatorcontrib><description>The invention provides an electric vehicle charging station planning analysis method based on traffic situation awareness, and relates to the technical field of charging station planning. According to the method, the traffic situation of a city is sensed through a large amount of online car-hailing trajectory data, and the features of the region are extracted. Therefore, experts are helped to understand travel rules of citizens, and charging station construction is carried out in a targeted manner. The charging requirements of electric vehicles are not uniformly dispersed in each region of a city, so that the urban traffic situation needs to be perceived, and the travel behaviors of citizens need to be analyzed; and constructing a layout optimization model suitable for charging station site selection. According to the large-scale electric vehicle charging demand, a sub-module objective function is constructed according to various influence factors of charging pile construction, a research area is reduced by c</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230804&amp;DB=EPODOC&amp;CC=CN&amp;NR=116542709A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230804&amp;DB=EPODOC&amp;CC=CN&amp;NR=116542709A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QU DEZHAN</creatorcontrib><creatorcontrib>ZHANG HUIJIE</creatorcontrib><creatorcontrib>HU XIYA</creatorcontrib><creatorcontrib>FENG ZIJUN</creatorcontrib><title>Electric vehicle charging station planning analysis method based on traffic situation awareness</title><description>The invention provides an electric vehicle charging station planning analysis method based on traffic situation awareness, and relates to the technical field of charging station planning. According to the method, the traffic situation of a city is sensed through a large amount of online car-hailing trajectory data, and the features of the region are extracted. Therefore, experts are helped to understand travel rules of citizens, and charging station construction is carried out in a targeted manner. The charging requirements of electric vehicles are not uniformly dispersed in each region of a city, so that the urban traffic situation needs to be perceived, and the travel behaviors of citizens need to be analyzed; and constructing a layout optimization model suitable for charging station site selection. According to the large-scale electric vehicle charging demand, a sub-module objective function is constructed according to various influence factors of charging pile construction, a research area is reduced by c</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzE0KwjAQBeBsXIh6h_EAgvWn4lJKxZUr92VMJ00gJiEzKt7eiB7A1YPH995Yda0nLdlpeJB12hNoi3lwYQAWFBcDJI8hfAoM6F_sGG4kNvZwRaYeipCMxpQLdnL_bvCJmQIxT9XIoGea_XKi5sf20pwWlGJHnFAXJl1zrqp6u1ntlvvD-h_zBs9-PZw</recordid><startdate>20230804</startdate><enddate>20230804</enddate><creator>QU DEZHAN</creator><creator>ZHANG HUIJIE</creator><creator>HU XIYA</creator><creator>FENG ZIJUN</creator><scope>EVB</scope></search><sort><creationdate>20230804</creationdate><title>Electric vehicle charging station planning analysis method based on traffic situation awareness</title><author>QU DEZHAN ; ZHANG HUIJIE ; HU XIYA ; FENG ZIJUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116542709A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>QU DEZHAN</creatorcontrib><creatorcontrib>ZHANG HUIJIE</creatorcontrib><creatorcontrib>HU XIYA</creatorcontrib><creatorcontrib>FENG ZIJUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QU DEZHAN</au><au>ZHANG HUIJIE</au><au>HU XIYA</au><au>FENG ZIJUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Electric vehicle charging station planning analysis method based on traffic situation awareness</title><date>2023-08-04</date><risdate>2023</risdate><abstract>The invention provides an electric vehicle charging station planning analysis method based on traffic situation awareness, and relates to the technical field of charging station planning. According to the method, the traffic situation of a city is sensed through a large amount of online car-hailing trajectory data, and the features of the region are extracted. Therefore, experts are helped to understand travel rules of citizens, and charging station construction is carried out in a targeted manner. The charging requirements of electric vehicles are not uniformly dispersed in each region of a city, so that the urban traffic situation needs to be perceived, and the travel behaviors of citizens need to be analyzed; and constructing a layout optimization model suitable for charging station site selection. According to the large-scale electric vehicle charging demand, a sub-module objective function is constructed according to various influence factors of charging pile construction, a research area is reduced by c</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116542709A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Electric vehicle charging station planning analysis method based on traffic situation awareness
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T01%3A29%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=QU%20DEZHAN&rft.date=2023-08-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116542709A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true