Multi-objective optimisation of hydro-pneumatic suspension with gas-oil emulsion for heavy-duty vehicles

被引:50
作者
Kwon, Kihan [1 ]
Seo, Minsik [1 ]
Kim, Hansu [1 ]
Lee, Tae Hee [1 ]
Lee, Jongseok [2 ]
Min, Seungjae [1 ]
机构
[1] Hanyang Univ, Dept Automot Engn, Seoul, South Korea
[2] Hanhwa Land Syst, Seoul, South Korea
关键词
Hydro-pneumatic suspension; gas-oil emulsion; heavy-duty vehicles; surrogate model; multi-objective optimisation; RIDE COMFORT; DESIGN OPTIMIZATION; SYSTEMS; IMPROVEMENT; ALGORITHM; PERFORMANCE;
D O I
10.1080/00423114.2019.1609050
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In the development of heavy-duty vehicles, the design of hydro-pneumatic suspension (HPS) is important for improving various aspects of vehicle performance, such as comfort and stability. An HPS with gas-oil emulsion is advantageous with respect to cost and design compared to that with a separated chamber, because it shares a chamber with gas and oil. This paper presents an optimisation procedure for obtaining the optimal design of HPS with gas-oil emulsion for heavy-duty vehicles. The HPS model is developed from a mathematical analysis of the gas-oil emulsion, and a parameter study is performed to confirm the design sensitivity of the spring and damping characteristics. A full vehicle model with HPS is constructed to analyse the vehicle performance. The necessity of this vehicle model is shown by comparing its results with those of a simplified vehicle model. To alleviate the problem of excessive computational effort caused using the full vehicle model, surrogate models with respect to performance are developed for the design optimisation of HPS. By performing a multi-objective optimisation of the HPS design, a Pareto front considering the contradiction between the comfort and stability of the performances is obtained.
引用
收藏
页码:1146 / 1165
页数:20
相关论文
共 43 条
[1]  
[Anonymous], 2005011715 SAE
[2]  
[Anonymous], 2016, AD TIR HELP
[3]   Multi-objective optimization of a hybrid electromagnetic suspension system for ride comfort, road holding and regenerated power [J].
Ataei, Mansour ;
Asadi, Ehsan ;
Goodarzi, Avesta ;
Khajepour, Amir ;
Khamesee, Mir Behrad .
JOURNAL OF VIBRATION AND CONTROL, 2017, 23 (05) :782-793
[4]   Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm [J].
Centeno Drehmer, Luis Roberto ;
Paucar Casas, Walter Jesus ;
Gomes, Herbert Martins .
VEHICLE SYSTEM DYNAMICS, 2015, 53 (04) :449-474
[5]   Fundamental issues in suspension design for heavy road vehicles [J].
Cole, DJ .
VEHICLE SYSTEM DYNAMICS, 2001, 35 (4-5) :319-360
[6]   Optimisation of active suspension control inputs for improved performance of active safety systems [J].
Coric, Mirko ;
Deur, Josko ;
Xu, Li ;
Tseng, H. Eric ;
Hrovat, Davor .
VEHICLE SYSTEM DYNAMICS, 2018, 56 (01) :1-26
[7]   Optimisation of active suspension control inputs for improved vehicle ride performance [J].
Coric, Mirko ;
Deur, Josko ;
Xu, Li ;
Tseng, H. Eric ;
Hrovat, Davor .
VEHICLE SYSTEM DYNAMICS, 2016, 54 (07) :1004-1030
[8]  
Deb K., 2001, Multi-objective evolutionary optimization for hardware
[9]   Comfort improvement of a nonlinear suspension using global optimization and in situ measurements [J].
Deprez, K ;
Moshou, D ;
Ramon, H .
JOURNAL OF SOUND AND VIBRATION, 2005, 284 (3-5) :1003-1014
[10]   Hierarchical Control Strategy for Active Hydropneumatic Suspension Vehicles Based on Genetic Algorithms [J].
Feng, Jinzhi ;
Matthews, Christian ;
Zheng, Songlin ;
Yu, Fan ;
Gao, Dawei .
ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (02)