Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads
In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope road in scenarios including uphill and downhill r...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on intelligent vehicles 2021-09, Vol.6 (3), p.390-405 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 405 |
---|---|
container_issue | 3 |
container_start_page | 390 |
container_title | IEEE transactions on intelligent vehicles |
container_volume | 6 |
creator | Ahiska, Kenan Ozgoren, Mustafa Kemal Leblebicioglu, Mehmet Kemal |
description | In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope road in scenarios including uphill and downhill road sections of various slopes and lengths. The tests are repeated along roads with icy slopes, and the superiority of the energy optimal controller is verified for roads with low friction coefficients. A skidding compensation logic is proposed, and it is observed that the energy optimal solution is insensitive to such compensation methods. Further sensitivity analyses are performed, and it is shown that as a representative of different passenger seating arrangements, the sensitivity of the energy optimal controller to the changes in mass and its distribution is small in magnitude. The tests with different initial state-of-charge of the battery demonstrate that the superiority of the energy optimal controller becomes significant especially when battery characteristics limit the charging capability during regenerative braking. |
doi_str_mv | 10.1109/TIV.2020.3033287 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TIV_2020_3033287</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9238404</ieee_id><sourcerecordid>2565236180</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-e29d428322e889fd3f735c8c7a21350724eb0ee2737b174e42602f4f83767df93</originalsourceid><addsrcrecordid>eNo9kEFLw0AQRhdRsNTeBS8Bz6mzs5vs7rHWqoVCQdpelzSZtFtiEncj0n9vSqun-Q7vm2EeY_ccxpyDeVrNN2MEhLEAIVCrKzZAoUysDcjrv6wTfctGIRwAgKcaNZgBe57V5HfHaNl27jOrXHeMXB3NKso77_JoQ3uXVxSiSdXUu2jd7l1VxS_NT30K0UeTFeGO3ZRZFWh0mUO2fp2tpu_xYvk2n04WcY6GdzGhKSRqgUham7IQpRJJrnOVIRcJKJS0BSJUQm25kiQxBSxlqYVKVVEaMWSP572tb76-KXT20Hz7uj9pMUkTFCnX0FNwpnLfhOCptK3vP_NHy8GeZNlelj3JshdZfeXhXHFE9I8bFFqCFL_eh2NF</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2565236180</pqid></control><display><type>article</type><title>Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads</title><source>IEEE Electronic Library (IEL)</source><creator>Ahiska, Kenan ; Ozgoren, Mustafa Kemal ; Leblebicioglu, Mehmet Kemal</creator><creatorcontrib>Ahiska, Kenan ; Ozgoren, Mustafa Kemal ; Leblebicioglu, Mehmet Kemal</creatorcontrib><description>In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope road in scenarios including uphill and downhill road sections of various slopes and lengths. The tests are repeated along roads with icy slopes, and the superiority of the energy optimal controller is verified for roads with low friction coefficients. A skidding compensation logic is proposed, and it is observed that the energy optimal solution is insensitive to such compensation methods. Further sensitivity analyses are performed, and it is shown that as a representative of different passenger seating arrangements, the sensitivity of the energy optimal controller to the changes in mass and its distribution is small in magnitude. The tests with different initial state-of-charge of the battery demonstrate that the superiority of the energy optimal controller becomes significant especially when battery characteristics limit the charging capability during regenerative braking.</description><identifier>ISSN: 2379-8858</identifier><identifier>EISSN: 2379-8904</identifier><identifier>DOI: 10.1109/TIV.2020.3033287</identifier><identifier>CODEN: ITIVBL</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Batteries ; Coefficient of friction ; Compensation ; Control systems design ; Controllers ; Electric vehicles ; Energy ; energy optimization ; icy road skidding ; Mathematical model ; Optimal control ; Optimization ; Roads ; Sensitivity analysis ; Skidding ; Wheels</subject><ispartof>IEEE transactions on intelligent vehicles, 2021-09, Vol.6 (3), p.390-405</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-e29d428322e889fd3f735c8c7a21350724eb0ee2737b174e42602f4f83767df93</citedby><cites>FETCH-LOGICAL-c291t-e29d428322e889fd3f735c8c7a21350724eb0ee2737b174e42602f4f83767df93</cites><orcidid>0000-0002-7215-6675</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9238404$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9238404$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ahiska, Kenan</creatorcontrib><creatorcontrib>Ozgoren, Mustafa Kemal</creatorcontrib><creatorcontrib>Leblebicioglu, Mehmet Kemal</creatorcontrib><title>Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads</title><title>IEEE transactions on intelligent vehicles</title><addtitle>TIV</addtitle><description>In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope road in scenarios including uphill and downhill road sections of various slopes and lengths. The tests are repeated along roads with icy slopes, and the superiority of the energy optimal controller is verified for roads with low friction coefficients. A skidding compensation logic is proposed, and it is observed that the energy optimal solution is insensitive to such compensation methods. Further sensitivity analyses are performed, and it is shown that as a representative of different passenger seating arrangements, the sensitivity of the energy optimal controller to the changes in mass and its distribution is small in magnitude. The tests with different initial state-of-charge of the battery demonstrate that the superiority of the energy optimal controller becomes significant especially when battery characteristics limit the charging capability during regenerative braking.</description><subject>Batteries</subject><subject>Coefficient of friction</subject><subject>Compensation</subject><subject>Control systems design</subject><subject>Controllers</subject><subject>Electric vehicles</subject><subject>Energy</subject><subject>energy optimization</subject><subject>icy road skidding</subject><subject>Mathematical model</subject><subject>Optimal control</subject><subject>Optimization</subject><subject>Roads</subject><subject>Sensitivity analysis</subject><subject>Skidding</subject><subject>Wheels</subject><issn>2379-8858</issn><issn>2379-8904</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFLw0AQRhdRsNTeBS8Bz6mzs5vs7rHWqoVCQdpelzSZtFtiEncj0n9vSqun-Q7vm2EeY_ccxpyDeVrNN2MEhLEAIVCrKzZAoUysDcjrv6wTfctGIRwAgKcaNZgBe57V5HfHaNl27jOrXHeMXB3NKso77_JoQ3uXVxSiSdXUu2jd7l1VxS_NT30K0UeTFeGO3ZRZFWh0mUO2fp2tpu_xYvk2n04WcY6GdzGhKSRqgUham7IQpRJJrnOVIRcJKJS0BSJUQm25kiQxBSxlqYVKVVEaMWSP572tb76-KXT20Hz7uj9pMUkTFCnX0FNwpnLfhOCptK3vP_NHy8GeZNlelj3JshdZfeXhXHFE9I8bFFqCFL_eh2NF</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Ahiska, Kenan</creator><creator>Ozgoren, Mustafa Kemal</creator><creator>Leblebicioglu, Mehmet Kemal</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7215-6675</orcidid></search><sort><creationdate>20210901</creationdate><title>Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads</title><author>Ahiska, Kenan ; Ozgoren, Mustafa Kemal ; Leblebicioglu, Mehmet Kemal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-e29d428322e889fd3f735c8c7a21350724eb0ee2737b174e42602f4f83767df93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Batteries</topic><topic>Coefficient of friction</topic><topic>Compensation</topic><topic>Control systems design</topic><topic>Controllers</topic><topic>Electric vehicles</topic><topic>Energy</topic><topic>energy optimization</topic><topic>icy road skidding</topic><topic>Mathematical model</topic><topic>Optimal control</topic><topic>Optimization</topic><topic>Roads</topic><topic>Sensitivity analysis</topic><topic>Skidding</topic><topic>Wheels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahiska, Kenan</creatorcontrib><creatorcontrib>Ozgoren, Mustafa Kemal</creatorcontrib><creatorcontrib>Leblebicioglu, Mehmet Kemal</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on intelligent vehicles</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ahiska, Kenan</au><au>Ozgoren, Mustafa Kemal</au><au>Leblebicioglu, Mehmet Kemal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads</atitle><jtitle>IEEE transactions on intelligent vehicles</jtitle><stitle>TIV</stitle><date>2021-09-01</date><risdate>2021</risdate><volume>6</volume><issue>3</issue><spage>390</spage><epage>405</epage><pages>390-405</pages><issn>2379-8858</issn><eissn>2379-8904</eissn><coden>ITIVBL</coden><abstract>In this paper, an energy optimal controller is designed with torque, speed and battery constraints, and detailed sensitivity analyses are performed. The design is tested on the gross motion mathematical model of the vehicle moving on a variable-slope road in scenarios including uphill and downhill road sections of various slopes and lengths. The tests are repeated along roads with icy slopes, and the superiority of the energy optimal controller is verified for roads with low friction coefficients. A skidding compensation logic is proposed, and it is observed that the energy optimal solution is insensitive to such compensation methods. Further sensitivity analyses are performed, and it is shown that as a representative of different passenger seating arrangements, the sensitivity of the energy optimal controller to the changes in mass and its distribution is small in magnitude. The tests with different initial state-of-charge of the battery demonstrate that the superiority of the energy optimal controller becomes significant especially when battery characteristics limit the charging capability during regenerative braking.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TIV.2020.3033287</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-7215-6675</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2379-8858 |
ispartof | IEEE transactions on intelligent vehicles, 2021-09, Vol.6 (3), p.390-405 |
issn | 2379-8858 2379-8904 |
language | eng |
recordid | cdi_crossref_primary_10_1109_TIV_2020_3033287 |
source | IEEE Electronic Library (IEL) |
subjects | Batteries Coefficient of friction Compensation Control systems design Controllers Electric vehicles Energy energy optimization icy road skidding Mathematical model Optimal control Optimization Roads Sensitivity analysis Skidding Wheels |
title | Energy Optimality in Electric Vehicles Along Uphill-Downhill Roads |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T05%3A01%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Energy%20Optimality%20in%20Electric%20Vehicles%20Along%20Uphill-Downhill%20Roads&rft.jtitle=IEEE%20transactions%20on%20intelligent%20vehicles&rft.au=Ahiska,%20Kenan&rft.date=2021-09-01&rft.volume=6&rft.issue=3&rft.spage=390&rft.epage=405&rft.pages=390-405&rft.issn=2379-8858&rft.eissn=2379-8904&rft.coden=ITIVBL&rft_id=info:doi/10.1109/TIV.2020.3033287&rft_dat=%3Cproquest_RIE%3E2565236180%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2565236180&rft_id=info:pmid/&rft_ieee_id=9238404&rfr_iscdi=true |