Purpose

This study aims to propose a complete and powerful methodology that allows the optimization of the passive suspension system of vehicles, which simultaneously takes comfort and safety into account and provides a set of optimal solutions through a Pareto-optimal front, in a low computational time.

Design/methodology/approach

Unlike papers that consider simple vehicle models (quarter vehicle model or half car model) and/or simplified road profiles (harmonic excitation, for example) and/or perform a single-objective optimization and/or execute the dynamic analysis in the time domain, this paper presents an effective and fast methodology for the multi-objective optimization of the suspension system of a full-car model (including the driver seat) traveling on an irregular road profile, whose dynamic response is determined in the frequency domain, considerably reducing computational time.

Findings

The results showed that there was a reduction of 28% in the driver seat vertical acceleration weighted root mean square (RMS) value of the proposed model, which is directly related to comfort, and, simultaneously, an improvement or constancy concerning safety, with low computational cost. Hence, the proposed methodology can be indicated as a successful tool for the optimal design of the suspension systems, considering, simultaneously, comfort and safety.

Originality/value

Despite the extensive literature on optimizing vehicle passive suspension systems, papers combining multi-objective optimization presenting a Pareto-optimal front as a set of optimal results, a full-vehicle model (including the driver seat), an irregular road profile and the determination of the dynamic response in the frequency domain are not found.

中文翻译：

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频域整车模型悬架多目标优化的帕累托最优前沿

目的

本研究旨在提出一种完整而强大的方法，以优化车辆的被动悬架系统，同时考虑舒适性和安全性，并通过帕累托最优前沿在较短的计算时间内提供一组最优解。

设计/方法/方法

与考虑简单车辆模型（四分之一车辆模型或半车模型）和/或简化道路轮廓（例如谐波激励）和/或执行单目标优化和/或执行时域动态分析的论文不同，本文提出了一种有效且快速的方法，用于对在不规则路面上行驶的整车模型（包括驾驶员座椅）的悬架系统进行多目标优化，其动态响应在频域中确定，大大减少了计算量时间。

发现

结果表明，所提出模型的驾驶员座椅垂直加速度加权均方根 (RMS) 值降低了 28%，这与舒适性直接相关，同时在安全性方面有所改善或保持不变，低计算成本。因此，所提出的方法可以作为悬架系统优化设计的成功工具，同时考虑舒适性和安全性。

原创性/价值

尽管有大量关于优化车辆被动悬架系统的文献，但结合多目标优化的论文将帕累托最优前部作为一组最优结果、整车模型（包括驾驶员座椅）、不规则道路轮廓和确定没有找到频域中的动态响应。