Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition
This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch trans...
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| Veröffentlicht in: | Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-13, Article 2061083 |
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| creator | Yan, Jun Zhang, Chengcai Pei, Xiaofei Guo, Xuexun Zhou, Wei Xia, Jialei |
| description | This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT. |
| doi_str_mv | 10.1155/2020/2061083 |
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In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2020/2061083</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Accuracy ; Analytic hierarchy process ; Automatic transmissions ; Clutches ; Data analysis ; Engineering ; Engineering, Multidisciplinary ; Engineers ; Entropy (Information theory) ; Evaluation ; Mathematics ; Mathematics, Interdisciplinary Applications ; Matrix algebra ; Matrix methods ; Methods ; Noise ; Noise reduction ; Passengers ; Physical Sciences ; Random vibration ; Science & Technology ; Software ; Technology ; Vehicles ; Working conditions</subject><ispartof>Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-13, Article 2061083</ispartof><rights>Copyright © 2020 Wei Zhou et al.</rights><rights>Copyright © 2020 Wei Zhou et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>2</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000591006000007</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c360t-df7d5eb38998b647d0e0669d73f8a55dce8c82f33af57674e3b9ad920b66ab793</citedby><cites>FETCH-LOGICAL-c360t-df7d5eb38998b647d0e0669d73f8a55dce8c82f33af57674e3b9ad920b66ab793</cites><orcidid>0000-0002-8283-9277 ; 0000-0002-5990-2960 ; 0000-0001-7815-9538</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,4025,27928,27929,27930,28253</link.rule.ids></links><search><contributor>Shen, Jun</contributor><contributor>Jun Shen</contributor><creatorcontrib>Yan, Jun</creatorcontrib><creatorcontrib>Zhang, Chengcai</creatorcontrib><creatorcontrib>Pei, Xiaofei</creatorcontrib><creatorcontrib>Guo, Xuexun</creatorcontrib><creatorcontrib>Zhou, Wei</creatorcontrib><creatorcontrib>Xia, Jialei</creatorcontrib><title>Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition</title><title>Mathematical problems in engineering</title><addtitle>MATH PROBL ENG</addtitle><description>This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.</description><subject>Accuracy</subject><subject>Analytic hierarchy process</subject><subject>Automatic transmissions</subject><subject>Clutches</subject><subject>Data analysis</subject><subject>Engineering</subject><subject>Engineering, Multidisciplinary</subject><subject>Engineers</subject><subject>Entropy (Information theory)</subject><subject>Evaluation</subject><subject>Mathematics</subject><subject>Mathematics, Interdisciplinary Applications</subject><subject>Matrix algebra</subject><subject>Matrix methods</subject><subject>Methods</subject><subject>Noise</subject><subject>Noise reduction</subject><subject>Passengers</subject><subject>Physical Sciences</subject><subject>Random vibration</subject><subject>Science & Technology</subject><subject>Software</subject><subject>Technology</subject><subject>Vehicles</subject><subject>Working conditions</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkEtv1DAURiMEEqWwY40ssaRp_YgfYVelT6lSkVokdpFjXzMepU6xnRnNir-Ow1R0WbywvTjnu1dfVX0k-JgQzk8oprhcgmDFXlUHhAtWc9LI1-WPaVMTyn68rd6ltMaYEk7UQfX7dliDyX4D6Hyjx1lnPwU0OXQW_UYPfvR5h3xA33RKEH5CRJ2OCW19XqGzWY91N87ZrNB91CE9-JSK_hWdFioBusuz3S1hd7nkGnQJxV15l1E3BeuXUe-rN06PCT48vYfV94vz--6qvrm9vO5Ob2rDBM61ddJyGJhqWzWIRloMWIjWSuaU5twaUEZRx5h2XArZABtabVuKByH0IFt2WH3e5z7G6dcMKffraY6hjOxpw1UjBaGiUEd7ysQppQiuf4z-QcddT3C_VNwvFfdPFRdc7fEtDJNLxkMw8E_BGPOWYCzwcmTn899yu2kOuahf_l99plc-WL31L631aU9DYcDpZ5q0rJTD_gB6TaZ3</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Yan, Jun</creator><creator>Zhang, Chengcai</creator><creator>Pei, Xiaofei</creator><creator>Guo, Xuexun</creator><creator>Zhou, Wei</creator><creator>Xia, Jialei</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Publishing Group</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-8283-9277</orcidid><orcidid>https://orcid.org/0000-0002-5990-2960</orcidid><orcidid>https://orcid.org/0000-0001-7815-9538</orcidid></search><sort><creationdate>2020</creationdate><title>Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition</title><author>Yan, Jun ; 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In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2020/2061083</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-8283-9277</orcidid><orcidid>https://orcid.org/0000-0002-5990-2960</orcidid><orcidid>https://orcid.org/0000-0001-7815-9538</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Accuracy Analytic hierarchy process Automatic transmissions Clutches Data analysis Engineering Engineering, Multidisciplinary Engineers Entropy (Information theory) Evaluation Mathematics Mathematics, Interdisciplinary Applications Matrix algebra Matrix methods Methods Noise Noise reduction Passengers Physical Sciences Random vibration Science & Technology Software Technology Vehicles Working conditions |
| title | Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition |
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