FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285726793> ?p ?o ?g. }

• W4285726793 endingPage "578" @default.
• W4285726793 startingPage "578" @default.
• W4285726793 abstract "This paper presents a method for compiling the load spectrum of the transmission assembly of plug-in hybrid electric vehicles (PHEVs). Based on the analysis of the control strategy of the test vehicle, the power flow transmission route in the transmission assembly is different under different operation modes, so it is necessary to divide different load spectrum blocks according to the operation mode. Based on the big data survey of China’s national standard, it is determined that the typical working conditions are urban road working conditions, high-speed road working conditions, provincial road working conditions and poor road conditions. The mileage proportion of the various working conditions is 55:30:10:5, and the mileage of one cycle is 300 km. A total of three cycles are collected. After data processing and time-domain verification, based on the principle of maximum damage, the cycle with the largest pseudo damage is selected as the sample load data for load spectrum extrapolation. The rain flow counting method is used to count the sample load, and a two-dimensional kernel density estimation mathematical model with adaptive bandwidth is established to estimate the probability density function of the data. The extrapolated rain flow matrix is obtained through Monte Carlo simulation. The load spectrum of the two-dimensional rain flow matrix is transformed into a one-dimensional eight-stage program load spectrum by using a variable mean method, Goodman equation and equal damage principle theory. Finally, the fatigue life of the transmission assembly is simulated and calculated under the environment of Romax Designer simulation software. The two-dimensional kernel density estimation model with adaptive bandwidth is used to fit and extrapolate the load rain flow matrix of each hybrid mode of the PHEV, which solves the problem wherein the shape of the rain flow matrix of each hybrid mode of the hybrid electric vehicle is complex and difficult to fit. Finally, taking the after-sales maintenance data of this model from 2020 to the present as auxiliary proof, the failure components and the failure mileage life of the simulation test results are consistent with the results used by the actual users. This shows that the kernel density estimation model proposed in this paper can well fit the rain flow matrix of the PHEV load spectrum. The extrapolated load spectrum based on this model has high accuracy and authenticity. The method of compiling the load spectrum of the transmission assembly of a hybrid electric vehicle in this paper is effective." @default.
• W4285726793 created "2022-07-18" @default.
• W4285726793 creator A5000087838 @default.
• W4285726793 creator A5031782564 @default.
• W4285726793 creator A5042390527 @default.
• W4285726793 creator A5051178495 @default.
• W4285726793 creator A5051872702 @default.
• W4285726793 creator A5063761458 @default.
• W4285726793 creator A5090140141 @default.
• W4285726793 date "2022-07-18" @default.
• W4285726793 modified "2023-10-14" @default.
• W4285726793 title "Compilation of Load Spectrum of PHEV Transmission Assembly and Its Simulation Application" @default.
• W4285726793 cites W2046182043 @default.
• W4285726793 cites W2532929184 @default.
• W4285726793 cites W2575901743 @default.
• W4285726793 cites W2780733855 @default.
• W4285726793 cites W2806735085 @default.
• W4285726793 cites W2887515191 @default.
• W4285726793 cites W2915160475 @default.
• W4285726793 cites W2916971873 @default.
• W4285726793 cites W2934249899 @default.
• W4285726793 cites W2935808211 @default.
• W4285726793 cites W2944231117 @default.
• W4285726793 cites W3006414543 @default.
• W4285726793 cites W3011281030 @default.
• W4285726793 cites W3016949427 @default.
• W4285726793 cites W3033756569 @default.
• W4285726793 cites W3136459476 @default.
• W4285726793 cites W3204977673 @default.
• W4285726793 cites W4220982752 @default.
• W4285726793 cites W4221031364 @default.
• W4285726793 cites W4224729326 @default.
• W4285726793 cites W4225140287 @default.
• W4285726793 doi "https://doi.org/10.3390/machines10070578" @default.
• W4285726793 hasPublicationYear "2022" @default.
• W4285726793 type Work @default.
• W4285726793 citedByCount "0" @default.
• W4285726793 crossrefType "journal-article" @default.
• W4285726793 hasAuthorship W4285726793A5000087838 @default.
• W4285726793 hasAuthorship W4285726793A5031782564 @default.
• W4285726793 hasAuthorship W4285726793A5042390527 @default.
• W4285726793 hasAuthorship W4285726793A5051178495 @default.
• W4285726793 hasAuthorship W4285726793A5051872702 @default.
• W4285726793 hasAuthorship W4285726793A5063761458 @default.
• W4285726793 hasAuthorship W4285726793A5090140141 @default.
• W4285726793 hasBestOaLocation W42857267931 @default.
• W4285726793 hasConcept C105795698 @default.
• W4285726793 hasConcept C132459708 @default.
• W4285726793 hasConcept C154945302 @default.
• W4285726793 hasConcept C185429906 @default.
• W4285726793 hasConcept C19499675 @default.
• W4285726793 hasConcept C197055811 @default.
• W4285726793 hasConcept C2775924081 @default.
• W4285726793 hasConcept C33923547 @default.
• W4285726793 hasConcept C41008148 @default.
• W4285726793 hasConcept C44154836 @default.
• W4285726793 hasConcept C47446073 @default.
• W4285726793 hasConcept C71134354 @default.
• W4285726793 hasConcept C761482 @default.
• W4285726793 hasConcept C76155785 @default.
• W4285726793 hasConceptScore W4285726793C105795698 @default.
• W4285726793 hasConceptScore W4285726793C132459708 @default.
• W4285726793 hasConceptScore W4285726793C154945302 @default.
• W4285726793 hasConceptScore W4285726793C185429906 @default.
• W4285726793 hasConceptScore W4285726793C19499675 @default.
• W4285726793 hasConceptScore W4285726793C197055811 @default.
• W4285726793 hasConceptScore W4285726793C2775924081 @default.
• W4285726793 hasConceptScore W4285726793C33923547 @default.
• W4285726793 hasConceptScore W4285726793C41008148 @default.
• W4285726793 hasConceptScore W4285726793C44154836 @default.
• W4285726793 hasConceptScore W4285726793C47446073 @default.
• W4285726793 hasConceptScore W4285726793C71134354 @default.
• W4285726793 hasConceptScore W4285726793C761482 @default.
• W4285726793 hasConceptScore W4285726793C76155785 @default.
• W4285726793 hasIssue "7" @default.
• W4285726793 hasLocation W42857267931 @default.
• W4285726793 hasLocation W42857267932 @default.
• W4285726793 hasOpenAccess W4285726793 @default.
• W4285726793 hasPrimaryLocation W42857267931 @default.
• W4285726793 hasRelatedWork W2049177090 @default.
• W4285726793 hasRelatedWork W2049944019 @default.
• W4285726793 hasRelatedWork W2082405966 @default.
• W4285726793 hasRelatedWork W2158945970 @default.
• W4285726793 hasRelatedWork W2174323825 @default.
• W4285726793 hasRelatedWork W2760666011 @default.
• W4285726793 hasRelatedWork W2903862858 @default.
• W4285726793 hasRelatedWork W2936950752 @default.
• W4285726793 hasRelatedWork W3181529928 @default.
• W4285726793 hasRelatedWork W789130830 @default.
• W4285726793 hasVolume "10" @default.
• W4285726793 isParatext "false" @default.
• W4285726793 isRetracted "false" @default.
• W4285726793 workType "article" @default.