Multi-Objective Optimisation of Tyre and Suspension Parameters during Cornering for Different Road Roughness Profiles

نویسندگان

چکیده

Effective emission control technologies and novel propulsion systems have been developed for road vehicles, decreasing exhaust particle emissions. However, work has to be done on non-exhaust traffic related sources such as tyre–road interaction tyre wear. Given that both are inevitable in efforts assessing minimising wear should considered. The amount of is because internal (tyre structure, manufacturing, etc.) external (suspension configuration, speed, surface, factors. In this work, the emphasis optimisation parameters wear, but also enhancing occupant’s comfort improving vehicle handling. addition search optimum parameters, used a tool identify highlight potential trade-offs between objectives various design parameters. Hence, initially, (based some chosen parameters) optimised with regards above-mentioned objectives, while cornering over Class A B roughness profiles. Afterwards, an optimal solution sought Pareto alternatives provided by two cases, order levels less affected under different Therefore, it required close possible they provide similar cases. Then, identified adopted suspension cases passive semi-active types. From results, significant conclusions regarding how behaves passenger handling extracted, results illustrate where converged trying compromise among above types types, semi-active, could all them more optimally.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Method for estimating tyre cornering stiffness from basic tyre information

This paper proposes a simple mathematical tyre model that estimates tyre cornering stiffness. The model is derived by considering the tyre to be a combination of two independent systems. The sidewalls are assumed to be negligibly stiff in the lateral direction, and hence their influence on the lateral dynamics of the tyre will be ignored. The belt and tread area of the tyre will be considered t...

متن کامل

multi-objective suspension optimization of a 5-dof vehicle vibration model excited by random road profile

the vehicle driving comfort has become one of the important factors of vehicle quality and receives increasing attention. in this paper, optimal points of vehicle suspension parameters are generated using modified non-dominated sorting genetic algorithm (nsga-ii) for pareto optimization of 5-degree of freedom vehicle vibration model considering three conflicting functions simultaneously. in thi...

متن کامل

Full Elite Sets for Multi-objective Optimisation

Multi-objective evolutionary algorithms frequently use an archive of non-dominated solutions to approximate the Pareto front. We show that the truncation of this archive to a limited number of solutions can lead to oscillating and shrinking estimates of the Pareto front. New data structures to permit efficient query and update of the full archive are proposed, and the superior quality of fronta...

متن کامل

Multi-Objective Optimisation for Information Access Tasks

Information access tasks involve setting a large number of model parameters (such as term weighting functions or the particular terms from the document collection to use in the model); in addition, information access tasks frequently attempt to satisfy multiple competing objectives, such as precision and recall. We investigate the use of multi-objective evolutionary algorithms for finding model...

متن کامل

Multi-objective optimisation for regression testing

Regression testing is the process of retesting a system after it or its environment has changed. Many techniques aim to find the cheapest subset of the regression test suite that achieves full coverage. More recently, it has been observed that the tester might want to have a range of solutions providing different trade-offs between cost and one or more forms of coverage, this being a multi-obje...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied sciences

سال: 2021

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app11135934