On-line estimation of road profile in semi-active suspension based on unsprung mass acceleration
•A novel on-line estimation method of road profile is proposed for the semi-active suspension.•The estimator is robust considering the variable system parameters and vehicle velocity.•The effectiveness of this method is validated by two groups of tests. As the main excitation source in the process o...
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Veröffentlicht in: | Mechanical systems and signal processing 2020-01, Vol.135 (C), p.106370, Article 106370 |
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creator | Liu, Wei Wang, Ruochen Ding, Renkai Meng, Xiangpeng Yang, Lin |
description | •A novel on-line estimation method of road profile is proposed for the semi-active suspension.•The estimator is robust considering the variable system parameters and vehicle velocity.•The effectiveness of this method is validated by two groups of tests.
As the main excitation source in the process of vehicle driving, road roughness directly affects the vehicle ride comfort and handling stability. In this paper, an on-line estimation method of road profile based on vehicle dynamic response is proposed, which estimates the road disturbance using the transmission characteristics of the system and realizes the road roughness classification by calculating the road information via Power Spectral Density (PSD) estimation. Since the existing standard calculation method of PSD of road disturbance can only be used to process continuous data, an approximate method suitable for discrete data is proposed. In addition, in order to coordinate the response speed and estimation accuracy of the system, the mechanism of the influence of time-window on the estimation accuracy is studied, and the optimal length of time-window is determined. The estimation accuracy under the condition of sprung mass and damping coefficient variation is also analyzed. Finally, a 1/4 semi-active suspension test bench is conducted, and the results show that the system parameters (sprung mass and damping coefficient) and driving speed have little effect on the accuracy of road estimation. At the same time, the accuracy of on-line estimation method of road profile under five different levels of road is more than 90%, and the overall estimation accuracy rate reaches 98.5%, which verifies the effectiveness of on-line road estimation method. |
doi_str_mv | 10.1016/j.ymssp.2019.106370 |
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As the main excitation source in the process of vehicle driving, road roughness directly affects the vehicle ride comfort and handling stability. In this paper, an on-line estimation method of road profile based on vehicle dynamic response is proposed, which estimates the road disturbance using the transmission characteristics of the system and realizes the road roughness classification by calculating the road information via Power Spectral Density (PSD) estimation. Since the existing standard calculation method of PSD of road disturbance can only be used to process continuous data, an approximate method suitable for discrete data is proposed. In addition, in order to coordinate the response speed and estimation accuracy of the system, the mechanism of the influence of time-window on the estimation accuracy is studied, and the optimal length of time-window is determined. The estimation accuracy under the condition of sprung mass and damping coefficient variation is also analyzed. Finally, a 1/4 semi-active suspension test bench is conducted, and the results show that the system parameters (sprung mass and damping coefficient) and driving speed have little effect on the accuracy of road estimation. At the same time, the accuracy of on-line estimation method of road profile under five different levels of road is more than 90%, and the overall estimation accuracy rate reaches 98.5%, which verifies the effectiveness of on-line road estimation method.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2019.106370</identifier><language>eng</language><publisher>Berlin: Elsevier Ltd</publisher><subject>Acceleration ; Accuracy ; Active damping ; Coefficient of variation ; Dynamic response ; Estimating techniques ; Mathematical analysis ; On-line estimation ; Passenger comfort ; Power Spectral Density ; Road disturbance estimation ; Road roughness classification ; Roads & highways ; Roughness ; Semiactive damping ; Semiactive suspensions ; Sensitive analysis</subject><ispartof>Mechanical systems and signal processing, 2020-01, Vol.135 (C), p.106370, Article 106370</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 1, 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-88a0e41c3b47dfc46e2b14b9362c234223aabaa7fc7e1c81aa5743dfc7a0c28b3</citedby><cites>FETCH-LOGICAL-c403t-88a0e41c3b47dfc46e2b14b9362c234223aabaa7fc7e1c81aa5743dfc7a0c28b3</cites><orcidid>0000-0002-8288-4676 ; 0000-0002-7782-8776 ; 0000-0003-2014-4282 ; 0000000277828776 ; 0000000320144282 ; 0000000282884676</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ymssp.2019.106370$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1702776$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Wei</creatorcontrib><creatorcontrib>Wang, Ruochen</creatorcontrib><creatorcontrib>Ding, Renkai</creatorcontrib><creatorcontrib>Meng, Xiangpeng</creatorcontrib><creatorcontrib>Yang, Lin</creatorcontrib><title>On-line estimation of road profile in semi-active suspension based on unsprung mass acceleration</title><title>Mechanical systems and signal processing</title><description>•A novel on-line estimation method of road profile is proposed for the semi-active suspension.•The estimator is robust considering the variable system parameters and vehicle velocity.•The effectiveness of this method is validated by two groups of tests.
As the main excitation source in the process of vehicle driving, road roughness directly affects the vehicle ride comfort and handling stability. In this paper, an on-line estimation method of road profile based on vehicle dynamic response is proposed, which estimates the road disturbance using the transmission characteristics of the system and realizes the road roughness classification by calculating the road information via Power Spectral Density (PSD) estimation. Since the existing standard calculation method of PSD of road disturbance can only be used to process continuous data, an approximate method suitable for discrete data is proposed. In addition, in order to coordinate the response speed and estimation accuracy of the system, the mechanism of the influence of time-window on the estimation accuracy is studied, and the optimal length of time-window is determined. The estimation accuracy under the condition of sprung mass and damping coefficient variation is also analyzed. Finally, a 1/4 semi-active suspension test bench is conducted, and the results show that the system parameters (sprung mass and damping coefficient) and driving speed have little effect on the accuracy of road estimation. At the same time, the accuracy of on-line estimation method of road profile under five different levels of road is more than 90%, and the overall estimation accuracy rate reaches 98.5%, which verifies the effectiveness of on-line road estimation method.</description><subject>Acceleration</subject><subject>Accuracy</subject><subject>Active damping</subject><subject>Coefficient of variation</subject><subject>Dynamic response</subject><subject>Estimating techniques</subject><subject>Mathematical analysis</subject><subject>On-line estimation</subject><subject>Passenger comfort</subject><subject>Power Spectral Density</subject><subject>Road disturbance estimation</subject><subject>Road roughness classification</subject><subject>Roads & highways</subject><subject>Roughness</subject><subject>Semiactive damping</subject><subject>Semiactive suspensions</subject><subject>Sensitive analysis</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kM1O5DAQhC20SDs77BNwseCcwX_YyYEDGgGLhMQFzl7H6YBHM3ZwJ0i8_ToTznvqVuurVlURcs7ZhjOur3abrwPisBGMN-WipWEnZMVZoysuuP5BVqyu60oKw36SX4g7xlijmF6Rv8-x2ocIFHAMBzeGFGnqaU6uo0NOfdgDDZEiHELl_Bg-geKEA0ScydYhdLQsU8QhT_GNHhwidd7DHvLx2xk57d0e4ff3XJPX-7uX7Z_q6fnhcXv7VHnF5FjVtWOguJetMl3vlQbRctU2UgsvpBJCOtc6Z3pvgPuaO3dtlCykccyLupVrcrH8TSWIRR9G8O8-xQh-tNwwYYwu0OUClWgfU4lsd2nKsfiyQgqhVdMoXii5UD4nxAy9HXLpJn9Zzuzct93ZY9927tsufRfVzaKCkvIzQJ5NQPTQhTx76FL4r_4fwRKLMQ</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Liu, Wei</creator><creator>Wang, Ruochen</creator><creator>Ding, Renkai</creator><creator>Meng, Xiangpeng</creator><creator>Yang, Lin</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-8288-4676</orcidid><orcidid>https://orcid.org/0000-0002-7782-8776</orcidid><orcidid>https://orcid.org/0000-0003-2014-4282</orcidid><orcidid>https://orcid.org/0000000277828776</orcidid><orcidid>https://orcid.org/0000000320144282</orcidid><orcidid>https://orcid.org/0000000282884676</orcidid></search><sort><creationdate>20200101</creationdate><title>On-line estimation of road profile in semi-active suspension based on unsprung mass acceleration</title><author>Liu, Wei ; Wang, Ruochen ; Ding, Renkai ; Meng, Xiangpeng ; Yang, Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-88a0e41c3b47dfc46e2b14b9362c234223aabaa7fc7e1c81aa5743dfc7a0c28b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acceleration</topic><topic>Accuracy</topic><topic>Active damping</topic><topic>Coefficient of variation</topic><topic>Dynamic response</topic><topic>Estimating techniques</topic><topic>Mathematical analysis</topic><topic>On-line estimation</topic><topic>Passenger comfort</topic><topic>Power Spectral Density</topic><topic>Road disturbance estimation</topic><topic>Road roughness classification</topic><topic>Roads & highways</topic><topic>Roughness</topic><topic>Semiactive damping</topic><topic>Semiactive suspensions</topic><topic>Sensitive analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Wei</creatorcontrib><creatorcontrib>Wang, Ruochen</creatorcontrib><creatorcontrib>Ding, Renkai</creatorcontrib><creatorcontrib>Meng, Xiangpeng</creatorcontrib><creatorcontrib>Yang, Lin</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>OSTI.GOV</collection><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Wei</au><au>Wang, Ruochen</au><au>Ding, Renkai</au><au>Meng, Xiangpeng</au><au>Yang, Lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On-line estimation of road profile in semi-active suspension based on unsprung mass acceleration</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>135</volume><issue>C</issue><spage>106370</spage><pages>106370-</pages><artnum>106370</artnum><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>•A novel on-line estimation method of road profile is proposed for the semi-active suspension.•The estimator is robust considering the variable system parameters and vehicle velocity.•The effectiveness of this method is validated by two groups of tests.
As the main excitation source in the process of vehicle driving, road roughness directly affects the vehicle ride comfort and handling stability. In this paper, an on-line estimation method of road profile based on vehicle dynamic response is proposed, which estimates the road disturbance using the transmission characteristics of the system and realizes the road roughness classification by calculating the road information via Power Spectral Density (PSD) estimation. Since the existing standard calculation method of PSD of road disturbance can only be used to process continuous data, an approximate method suitable for discrete data is proposed. In addition, in order to coordinate the response speed and estimation accuracy of the system, the mechanism of the influence of time-window on the estimation accuracy is studied, and the optimal length of time-window is determined. The estimation accuracy under the condition of sprung mass and damping coefficient variation is also analyzed. Finally, a 1/4 semi-active suspension test bench is conducted, and the results show that the system parameters (sprung mass and damping coefficient) and driving speed have little effect on the accuracy of road estimation. At the same time, the accuracy of on-line estimation method of road profile under five different levels of road is more than 90%, and the overall estimation accuracy rate reaches 98.5%, which verifies the effectiveness of on-line road estimation method.</abstract><cop>Berlin</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2019.106370</doi><orcidid>https://orcid.org/0000-0002-8288-4676</orcidid><orcidid>https://orcid.org/0000-0002-7782-8776</orcidid><orcidid>https://orcid.org/0000-0003-2014-4282</orcidid><orcidid>https://orcid.org/0000000277828776</orcidid><orcidid>https://orcid.org/0000000320144282</orcidid><orcidid>https://orcid.org/0000000282884676</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acceleration Accuracy Active damping Coefficient of variation Dynamic response Estimating techniques Mathematical analysis On-line estimation Passenger comfort Power Spectral Density Road disturbance estimation Road roughness classification Roads & highways Roughness Semiactive damping Semiactive suspensions Sensitive analysis |
title | On-line estimation of road profile in semi-active suspension based on unsprung mass acceleration |
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