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Optimization of Suspension Characteristics for Increasing Expected Daily Exposure Durations in Vehicles According to ISO 2631-1 Standard using Genetic Algorithms

机译:根据遗传算法,根据ISO 2631-1标准,优化悬架特性以增加车辆的预期每日暴露时间

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Human perception related vehicle comfort problems have been an important topic for researchers as evident from a large number of scientific papers available in the literature. Increasing duration of expected daily exposure in vehicles means that the vehicle is comfortably driven for longer periods of time. The aim of this study is to increase the comfortable driving time of a bus by optimizing the suspension system characteristics using genetic algorithm approach. Thus a full car model of the corresponding vehicle is built in order to improve its driving comfort. In the optimization procedure, maximum allowed vertical acceleration of the seat and suspension deflection parameters are used as the cost functions. Furthermore, genetic algorithm parameters and weighting factors are defined in accordance with the problem and applied to solve the optimization problem. Comparison between optimized and current suspension systems is made by using health guidance zones in the International Organization for Standardization 2631-1 to evaluate comfort. As a result, duration of the expected daily exposure time is increased for different types roads. This method can be applied to different types of vehicles and can be a guidance tool for vehicle manufacturers to produce comfortable vehicles.
机译:与人类知觉有关的车辆舒适性问题已成为研究人员的重要课题,这可从文献中获得的大量科学论文中看出。车辆预期每天暴露的持续时间增加意味着车辆可以舒适地驾驶更长的时间。这项研究的目的是通过使用遗传算法方法优化悬架系统的特性来增加公共汽车的舒适驾驶时间。因此,建立相应车辆的完整汽车模型以提高其驾驶舒适性。在优化过程中,将座椅的最大允许垂直加速度和悬架偏转参数用作成本函数。此外,根据该问题定义遗传算法参数和加权因子,并将其用于解决优化问题。通过使用国际标准化组织2631-1中的健康指导区来评估舒适度,从而对优化后的悬架系统和当前的悬架系统进行了比较。结果,对于不同类型的道路,预期的每日暴露时间的持续时间增加了。该方法可以应用于不同类型的车辆,并且可以作为车辆制造商生产舒适车辆的指导工具。

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