Abstract
The working conditions of Military off-road vehicles are harsh and complex, which put forward higher requirements on vehicle dynamic performance. Parameters of the transmission system obtained by the traditional geometric series division method is usually difficult to achieve good dynamic property and fuel economy. This paper proposed a comprehensive objective function of dynamic property and fuel economy based on weight coefficient method. On the basis of the traditional geometric series division method, considering the dynamic constraint conditions of off-road vehicles, a set of optimal transmission parameters are confirmed using the nonlinear optimization function fmincon in Matlab optimization toolbox. Simulation results show that the acceleration time and fuel consumption reduced after optimization, and the military off-road vehicles achieved a better dynamic property and fuel economy.
References
Wang Z, Zhou P (2014) Multi-objective matching and optimization of the vehicle powertrain based on GT-drive. Mod Manuf Eng 10(021):40–44, 142
Lei S (2010) Parameters matching and simulation optimization of automobile transmission. Zhejiang University, p 1
Xu D (2015) Research of pure vehicle dynamic parameter optimization based on ant colony algorithm. Chang’an University, p 5
Pang H et al (2012) Optimization for heavy vehicle transmission ratios based on pareto optimal solution. Automobile Technol 02(039):39–43
Sup DCS, Sup MGS, Sup MRS (2014) Simulation tool for optimization and performance prediction of a generic hybrid electric series powertrain. Int J Automot Technol 1:135–144
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, B., Li, X., Wu, W., Zhou, J., Qin, C. (2017). Research on Parameters Optimization of Transmission System of Military Off-Road Vehicle. In: Proceedings of SAE-China Congress 2016: Selected Papers. SAE-China 2016. Lecture Notes in Electrical Engineering, vol 418. Springer, Singapore. https://doi.org/10.1007/978-981-10-3527-2_42
Download citation
DOI: https://doi.org/10.1007/978-981-10-3527-2_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3526-5
Online ISBN: 978-981-10-3527-2
eBook Packages: EngineeringEngineering (R0)