This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Evaluation of Objective Drivability for Passenger Cars Based on Hierarchical Mixture Model: A Case Study of Downshift Condition
Technical Paper
2021-01-0716
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
In order to solve the problems of insufficient accuracy for theoretical models and data-driven models for objective drivability evaluation requiring a large amount of data, an objective drivability evaluation method based on a hierarchical mixture model is proposed. First, a novel method of constructing a drivability evaluation system is developed, which combined by work breakdown structure (WBS) and analytic hierarchy process (AHP). Then, downshift condition is taken as a case study, and the subdivision condition is identified based on the hybrid mixture model. What's more, the drivability evaluation indexes of downshift condition are analyzed to establish the evaluation system of drivability. Finally, combined with the real road test, the comprehensive weighting method is used to construct the downshift drivability evaluation model, in which the subjective weight is determined by the fuzzy AHP, and the objective weight is determined by criteria improved through inter-criteria correlation (CRITIC) method. The test results show that the evaluation method proposed in this paper has good reliability and provides effective guidance for the objective drivability evaluation of passenger cars.
The evaluation system proposed in this paper can be extended to other conditions of vehicle drivability evaluation, including engine start conditions, static shift conditions, idling conditions, crawling conditions, starting conditions, Tip in/Tip out conditions, upshifts conditions and shutoff conditions. At the same time, the subjective and objective weight determination methods proposed in this paper can provide certain theoretical support for evaluation, classification and decision-making.
Authors
Citation
Zhou, W., Guo, X., Zhang, C., Pei, X. et al., "Evaluation of Objective Drivability for Passenger Cars Based on Hierarchical Mixture Model: A Case Study of Downshift Condition," SAE Technical Paper 2021-01-0716, 2021, https://doi.org/10.4271/2021-01-0716.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 |
Also In
References
- Guse , D. , Heusch , C. , Pischinger , S. , Tegelkamp , S. et al. Objectified Drivability Evaluation and Classification of Passenger Vehicles in Automated Longitudinal Vehicle Drive Maneuvers with Engine Load Changes SAE Technical Paper 2019-01-1286 2019 https://doi.org/10.4271/2019-01-1286
- Lakshmanan , S. , Palaniappan , A. , and Chekuri , V. Methodology for Evaluation of Drivability Attributes in Commercial Vehicle SAE Technical Paper 2015-01-2767 2015 , https://doi.org/10.4271/2015-01-2767
- Heissing , B. , and Brandl , H.J. 2010
- Zhou , W. , Guo , X.X. , Pei , X.F. , and Zhang , C.C. Research on Objective Drivability Evaluation with Multi-Source Information Fusion for Passenger Car SAE Technical Paper 2020-01-1044 2020 , https://doi.org/10.4271/2020-01-1044
- Zhang , T. , and Liu , P.H. Automobile Fuel Economy and Dynamic Performance and Driving Objective Evaluation System Journal of Tong Ji University (Natural Science Edition) 12 1865 1872 2015 , in Chinese
- Huang , W. , Liu , H.J. , Tong , R.H. , and Li , M. Application of Assessment Method of Vehicle Drivability in Creep Conditions Journal of Harbin Institute of Technology 7 126 130 2018 , in Chinese
- Peter , S. , and Erich , R. Vehicle Drivability Assessment Using Neural Networks for Development, Calibration and Quality Tests SAE Technical Paper 2000-01-0702 2000 , https://doi.org/10.4271/2000-01-0702
- Chang , W.S. , C , J. , Suk , W.C. , and L , W. An Objective Method of Drivability Evaluation Using a Simulation Model for Hybrid Electric Vehicles International of Precision Engineering and Manufacturing 15 2 2014
- Chang , W.S. , Kim , H. , Kim , M.K. et al. Development of an Evaluation Method for Quantitative Drivability in Heavy Duty Vehicles Journal of Mechanical Science & Technology 28 5 1615 1621 2014 10.1007/s12206-014- 0107-5.
- Huang , Q.A. , and Wang , H.Y. Fundamental Study of Jerk: Evaluation of Shift Quality and Ride Comfort SAE Technical Paper 2004-01-2065 2004 , https://doi.org/10.4271/2004-01-2065
- Huang , W. , Liu , J. , and Ma , Y. Drivability Evaluation Model of Engine Start Based on Principal Component Analysis and Support Vector Regression SAE Technical Paper 2019-01-0932 2019 , https://doi.org/10.4271/2019-01-0932
- Hu , Y. Objective Evaluation of Powertrain Drivability on Light Duty Vehicle Hebei University of Technology 2017 , in Chinese
- Huang , W. , Liu , H.J. , and Ma , Y.F. Drivability Evaluation Model Using Principal Component Analysis and Optimized Extreme Learning Machine Journal of Vibration and Control 25 6 2274 2281 2019
- Zhao , T.Q. , Chen , Y.L. Study on Workflow Modeling and Its Dynamic Scheduling Based on Activity Analysis Systems Engineering-Theory & Practice 2020 22 3 40 45
- Zhou , W. , Guo , X.X. , Pei , X.F. , Zhang , C.C. et al. Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition Mathematical Problem in Engineering 2020 1 13 2020
- Guan , K. NVH and Drivability of Dual Clutch Transmission integrated in Passenger Vehicle AUTO SCIāTECH 1 11 55 61 2020