Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer.
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| Title: | Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer. |
|---|---|
| Authors: | Song, Yitong, Shu, Hongyu, Chen, Xianbao, Luo, Shuang |
| Source: | IET Intelligent Transport Systems (Wiley-Blackwell); Feb2019, Vol. 13 Issue 2, p303-312, 10p |
| Subject Terms: | LATERAL loads, SLIDING mode control, KALMAN filtering, ELECTRIC vehicles, ENERGY consumption |
| Abstract: | Considering some technical and economic reasons, it is not easy to directly measure the vehicular moving parameters (such as tyre–road forces and vehicle sideslip angle) in electronic stability programme systems. This study proposes a method to estimate lateral tyre–road forces and vehicle sideslip angle by utilising real‐time measurements, based on the unscented Kalman filter. Direct‐yaw‐moment control can effectively guarantee the stability of vehicle while steering at a high speed. This study proposed a hierarchical control strategy as the solution to the problem of the yaw‐moment distribution. The overloop controller is designed to calculate the desired yaw moment based on the estimated lateral tyre–road forces and sideslip angle, using the sliding mode control. The servo‐loop controller is designed to optimise the torque distribution using weighted‐least‐squares method based on the desired yaw moment obtained from the overloop controller. MATLAB/Simulink with Carsim is applied for the simulation experiment, the results demonstrate the effectiveness of the lateral tyre–road force and sideslip angle observer, and the optimal allocation controller could improve the handling stability and energy efficiency dramatically. [ABSTRACT FROM AUTHOR] |
| Copyright of IET Intelligent Transport Systems (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=1751956X&ISBN=&volume=13&issue=2&date=20190201&spage=303&pages=303-312&title=IET Intelligent Transport Systems (Wiley-Blackwell)&atitle=Direct%E2%80%90yaw%E2%80%90moment%20control%20of%20four%E2%80%90wheel%E2%80%90drive%20electrical%20vehicle%20based%20on%20lateral%20tyre%E2%80%93road%20forces%20and%20sideslip%20angle%20observer.&aulast=Song%2C%20Yitong&id=DOI:10.1049/iet-its.2018.5159 Name: Full Text Finder Category: fullText Text: Full Text Finder Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif MouseOverText: Full Text Finder – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Song%20Y Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
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| Header | DbId: edb DbLabel: Complementary Index An: 183824849 RelevancyScore: 886 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 885.532104492188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Song%2C+Yitong%22">Song, Yitong</searchLink><br /><searchLink fieldCode="AR" term="%22Shu%2C+Hongyu%22">Shu, Hongyu</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xianbao%22">Chen, Xianbao</searchLink><br /><searchLink fieldCode="AR" term="%22Luo%2C+Shuang%22">Luo, Shuang</searchLink> – Name: TitleSource Label: Source Group: Src Data: IET Intelligent Transport Systems (Wiley-Blackwell); Feb2019, Vol. 13 Issue 2, p303-312, 10p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22LATERAL+loads%22">LATERAL loads</searchLink><br /><searchLink fieldCode="DE" term="%22SLIDING+mode+control%22">SLIDING mode control</searchLink><br /><searchLink fieldCode="DE" term="%22KALMAN+filtering%22">KALMAN filtering</searchLink><br /><searchLink fieldCode="DE" term="%22ELECTRIC+vehicles%22">ELECTRIC vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22ENERGY+consumption%22">ENERGY consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Considering some technical and economic reasons, it is not easy to directly measure the vehicular moving parameters (such as tyre–road forces and vehicle sideslip angle) in electronic stability programme systems. This study proposes a method to estimate lateral tyre–road forces and vehicle sideslip angle by utilising real‐time measurements, based on the unscented Kalman filter. Direct‐yaw‐moment control can effectively guarantee the stability of vehicle while steering at a high speed. This study proposed a hierarchical control strategy as the solution to the problem of the yaw‐moment distribution. The overloop controller is designed to calculate the desired yaw moment based on the estimated lateral tyre–road forces and sideslip angle, using the sliding mode control. The servo‐loop controller is designed to optimise the torque distribution using weighted‐least‐squares method based on the desired yaw moment obtained from the overloop controller. MATLAB/Simulink with Carsim is applied for the simulation experiment, the results demonstrate the effectiveness of the lateral tyre–road force and sideslip angle observer, and the optimal allocation controller could improve the handling stability and energy efficiency dramatically. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of IET Intelligent Transport Systems (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/iet-its.2018.5159 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 303 Subjects: – SubjectFull: LATERAL loads Type: general – SubjectFull: SLIDING mode control Type: general – SubjectFull: KALMAN filtering Type: general – SubjectFull: ELECTRIC vehicles Type: general – SubjectFull: ENERGY consumption Type: general Titles: – TitleFull: Direct‐yaw‐moment control of four‐wheel‐drive electrical vehicle based on lateral tyre–road forces and sideslip angle observer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Song, Yitong – PersonEntity: Name: NameFull: Shu, Hongyu – PersonEntity: Name: NameFull: Chen, Xianbao – PersonEntity: Name: NameFull: Luo, Shuang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 1751956X Numbering: – Type: volume Value: 13 – Type: issue Value: 2 Titles: – TitleFull: IET Intelligent Transport Systems (Wiley-Blackwell) Type: main |
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