Multi-objective optimization model in the vehicle suspension system development process

Abstract

Original scientific paper In order to improve conceptual phase of vehicle development, this research is focused on development of new multi-objective optimization model for determining the optimal parameters of the suspension system. In this research emphasis is on the development of suspension system from the viewpoint of full vehicle dynamics behaviour. The new optimization model consists of the integration of fast simulation tools with a suitable degree of accuracy for analysis of suspension system kinematics and analysis of vehicle dynamics into multi-objective optimization environment. The necessary steps that proceed to development of optimization model are identification of influence parameters, definition of criteria for the evaluation of vehicle dynamic characteristics in different test procedures and selection of multi-objective optimization algorithms, primarily contemporary evolutionary algorithms. In comparison of the algorithms, the best results in terms of convergence, number of solutions, short computing time and Pareto front approximation were achieved with the FMOGA-II algorithm. Keywords: evolutionary algorithms; multi-objective optimization; suspension system parameters; vehicle dynamics Višekriterijski optimizacijski model u razvoju ovjesa vozilaIzvorni znanstveni članak U cilju unapređenja konceptualne faze razvoja vozila, ovo istraživanje je usmjereno na razvoj novog višekriterijskog optimizacijskog modela za određivanje optimalnih parametara ovjesa vozila. U ovom istraživanju naglasak je na razvoju ovjesa vozila promatrano kroz dinamičko ponašanje kompletnog vozila. Novi optimizacijski model temelji se na integraciji brzih simulacijskih alata s zadovoljavajućom razinom točnosti za analizu kinematike ovjesa i dinamiku vozila unutar okruženja za višekriterijsko optimiranje. Nužni koraci koji prethode razvoju optimizacijskog modela su identifikacija utjecajnih parametara, definiranje kriterija za ocjenu dinamičkih karakteristika vozila u različitim ispitnim procedurama i odabir višekriterijskih optimizacijskih algoritama, prvenstveno suvremenih evolucijskih algoritama. Usporedba optimizacijskih algoritama pokazala je da se najbolji rezultati u pogledu konvergencije, broja mogućih rješenja, trajanja računanja i približavanja Pareto fronti postižu s FMOGA-II algoritmom. Ključne riječi: dinamika vozila; evolucijski algoritmi; parametri ovjesa vozila; višekriterijsko optimiranje

The Study of Optimization and Matching to Spring and Antiroll Bar Stiffness of Suspension for Multiresponse Target of Whole Vehicle under Sine-Swept Steering Input

“…According to equation (6), the total roll stiffness and steady-state roll angle of the suspension can be obtained as follows:…”

“…On the basis of identifying the parameters that affect the suspension and defining the criteria for evaluating the dynamic characteristics of the vehicle, the multiobjective optimization of the suspension is carried out. Finally, the FMOGA-II algorithm is used to obtain the best results in terms of convergence, number of solutions, calculation time, and Pareto Frontier [6]. Javanshir et al built a model based on dynamics software Trucksim, and the geometric parameters of the suspension system were optimized with antiroll bars and coil springs to improve ride comfort and handling stability of vehicles.…”

Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm

“…6–8 For example, Mitra et al 8 made an effort for a passive suspension system by using genetic optimization algorithm to increase ride comfort. Šagi et al 9 studied a multi-objective optimization model for determining the optimal parameters of suspension system. Jamali et al 10 established a model with 5-degrees-of-freedom for approximately evaluating the vehicle performance by combined simulation road with pavement power spectral density.…”