Abstract
Automobile becomes more and more personalized and humanized on the promise of safety, comfort, energy saving, environmental protection. This trend requires the OEM grasp the consumers’ functional demands and psychological needs clearly, cascade and predict the developing automobile’s performance accurately during the automobile design and development phase, and realize the top down design with modular, digital and intelligent technology. The handling is one of the key performance for vehicle dynamics, and the establishment of vehicle handling evaluation system is essentially a non-linear classification problem with big data, many-to-many and tight coupling. This paper is intended to explore a simple handling objective-index-mining method and establish a good-consistency of handling subjective and objective evaluation. The 12 core handling objective indexes are extracted and the consistency of the handling subjective and objective evaluation is up to 80% once the sample size is over 120 via the proposed mothed, and the reduced order model are derived with consistency of 70%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, D.C., Crolla, D.A.: Subjective and objective measures of vehicle handling: drivers & experiments. Veh. Syst. Dyn. 29(s), 576–597 (1998)
Bai, Y., Jia, X., Zong, C., et al.: Review of objective vehicle handling evaluation. Sci. Technol. Eng. 12(6), 1339–1347 (2012). (Chinese)
Gómez, G.L.G., Nybacka, M., Bakker, E., et al.: Correlations of subjective assessments and objective metrics for vehicle handling and steering: a walk through history. Int. J. Veh. Des. 72(1), 17–67 (2016)
Rothhämel, M., IJkema, J., Drugge, L.: A method to find correlations between steering feel and vehicle handling properties using a moving base driving simulator. Veh. Syst. Dyn. 49(12), 1837–1854 (2011)
Guo, K.H., Jin, L.G., Cao, Y., et al.: Dimensional reduction of objective evaluation criteria of vehicle handling behavior. Automob. Technol. 21(3), 343–358 (2010). (Chinese)
Wolff, K., Hoppermans, J., Kraaijeveld, R.: Objective evaluation of subjective driving impressions. In: CONFERENCE 2008, JSAE Annual Congress, Yokohama, vol. 5, pp. 03–019 (2008)
Rothhämel, M., Ijkema, J., Drugge, L.: On a method for generating a word pool for the description of steering feel. In: CONFERENCE 2010, International Symposium on Advanced Vehicle Control. Vehicle Engineering, Loughborough (2010)
Nybacka, M., He, X., Gómez, G., et al.: Links between subjective assessments and objective metrics for steering. Int. J. Automot. Technol. 15(6), 893–907 (2014)
Milliken, W.F., Milliken, D.L., Olley, M.: Chassis Design: Principles and Analysis. Society of Automotive Engineers, Warrendale (2002)
Bergman, W.: Correlation between open and closed loop vehicle handling measurements. SAE Technical Paper 800846 (1980)
Crolla, D.A., Chen, D.C., Whitehead, J.P., et al.: Vehicle handling assessment using a combined subjective-objective approach. SAE Trans. 107, 386–395 (1980)
King, R.P., Crolla, D.A., Ash, H.A.S., et al.: Identification of subjective-objective vehicle handling links using neural networks for the foresight vehicle. SAE Technical Paper, 01-1126 (2002)
Crolla, D.A., King, R.P., Ash, H.A.S.: Subjective and objective assessment of vehicle handling performance. SAE Technical Paper, 05-024 (2000)
Chen, D.C., Crolla, D.A., Alstead, C.J., et al.: A comprehensive study of subjective and objective vehicle handling behavior. Veh. Syst. Dyn. 25(S1), 66–86 (1996)
Arcidiacono, G., Capitani, R., Hippoliti, R.: Subjective assessment and objective measurement of handling maneuvers in Two-Wheeled vehicles. SAE Technical Paper, pp. 211–219 (2002)
Kawauchi, H., Maegawa, A., Hirano, K., et al.: Development of quantitative evaluation method of vehicle stability & controllability. SEI Tech. Rev. (59), 3–7 (2005)
Dang, J., Chen, H., Li, Q., et al.: A method to set the target on-centre steering force characteristic. Proc. Inst. Mech. Eng. Part D J. Automobile Eng. 230(12), 1670–1686 (2015)
Gómez, G.L.G., Nybacka, M., Bakker, E., et al.: Objective metrics for vehicle handling and steering and their correlations with subjective assessments. Int. J. Automot. Technol. 17(5), 777–794 (2016)
Gómez, G.L.G., Nybacka, M., Drugge, L., et al.: Machine learning to classify and predict objective and subjective assessments of vehicle dynamics: the case of steering feel. Veh. Syst. Dyn. 56(1), 150–171 (2018)
Acknowledgement
Special thanks are due to the National Natural Science Foundation of China [51675217], the Young Elite Scientists Sponsorship Program by CAST [2016QNRC001], the China Automobile Industry Innovation and Development Joint Fund [U1564213] for supporting authors’ research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, X., Tang, S., Guo, K., Chen, D., Li, W., He, K. (2020). Vehicle Handling Indexes Mining and Consistency of Subjective and Objective Evaluation. In: Klomp, M., Bruzelius, F., Nielsen, J., Hillemyr, A. (eds) Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-38077-9_151
Download citation
DOI: https://doi.org/10.1007/978-3-030-38077-9_151
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-38076-2
Online ISBN: 978-3-030-38077-9
eBook Packages: EngineeringEngineering (R0)