Suspension system state estimation using adaptive Kalman filtering based on road classification

This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.     

An evaluation framework for traffic calming measures in residential areas

The paper evaluates the effectiveness of various traffic calming measures from the perspectives of traffic performance and safety, and environmental and public health impacts. The proposed framework was applied to four calming measures – two types of speed humps, speed tables, and chicanes – to demonstrate its usefulness and applicability. A field experiment using probe vehicles equipped with global positioning system devices was conducted to obtain vehicle trajectory data for use in more realistic simulations. In addition, a recently developed vehicle emissions model was used for more accurate evaluation of environmental and public health impacts. The results show that chicane is better than the other types of traffic calming measures considered, except in terms of vehicle emissions.     

Options for reducing noise from roads and railway lines

The fundamental noise generation mechanisms of road and rail vehicles are discussed with attention to noise abatement measures. Based on an evaluation of publicly available tire noise data and the European road traffic noise emission model CNOSSOS, it is shown that on the road side there is a significant noise reduction potential in the usage of low-noise tires. From a three months measurement campaign a noise model was derived to predict the maximal sound pressure level of heavy duty vehicles during a pass-by in 7.5 m distance with the parameters vehicle speed and number of axles. With help of recently published information about external costs caused by heavy duty vehicles and the noise prediction tool, a model was developed to derive a money equivalent that can be used as a bonus/malus in a heavy duty vehicle fee. As a measure at the infrastructure, the installation of low-noise pavements is an effective, durable and economically attractive measure. Recent experiences with different technologies from all over the world are compiled and evaluated. On the rail side, an overview of the possible noise reduction strategies is given, followed by a discussion of the current policy and legislation in the EU and on the national level of different European countries.     

车用交流发电机噪声声学试验室设计

根据车用交流发电机噪声特性,介绍车用交流发电机噪声声学试验室半消声室指标选取依据和发电机驱动试验台的主体设计方案及验收思路。发电机噪声声学试验室的建立,为今后汽车发电机设计和噪声品质控制及优化提供了有效的验证手段,进一步加强了企业的自主研发能力,特别是解决发电机噪声问题的能力。     

结构-电磁激励下某电驱总成噪声控制

针对某电动汽车电驱总成的噪声问题，依据电驱总成车内噪声产生机理，进行整车状态声振特性测试，运用不同工况组合下的频谱特征和阶次特征等分析方法，识别出该电驱总成噪声问题为结构共振和电磁激励所致。针对结构共振问题，考虑电驱总成结构耦合特性、电机材料复杂多样性和线圈绕组质量，建立电驱总成有限元分析模型，求解出电驱总成的模态和振动响应，并通过敲击法模态试验得到模态参数进而对有限元模型进行验证，在此基础上以模态应变能为依据对电驱总成结构的局部刚度进行优化，提升结构共振频率，降低共振风险。针对电磁激励问题，以电驱总成中的永磁同步电机为研究对象，建立电磁仿真分析模型，以影响磁通密度的转子槽口的槽形、槽宽、槽深和槽间角度4个因素建立正交试验设计表，通过极差值得到各因素对齿槽转矩和输出转矩的影响水平，最后以降低齿槽转矩、加工工艺简单和对输出转矩影响小为目标，运用16组具有代表性的电磁方案，完成256个参数组合的寻优，并对优化方案进行了数值仿真计算。研究结果表明：优化方案的改善效果较显著；研究可为电动汽车车内噪声改善提供试验技术支持，并为电驱总成的结构共振噪声和电磁噪声控制提供方法参考。     

有自由液面的陷落式圆腔流噪声实验研究

采用基于经验模态分解(EMD)的本征模态函数(IMF)分析法和对比实验法研究了有自由液面的陷落式圆腔的流噪声,实验流速为0.4m/s~2.0m/s,间隔0.2m/s。实验发现当流速为0.4m/s~0.6m/s时,腔内液体有明显的振荡现象,其表现形式为液体沿腔内深度方向的大幅上下运动,称为“活塞(Piston)”现象。当流速大于等于0.8m/s时,腔内无振荡现象出现。通过对背景噪声和腔流噪声的本征模态函数作对比分析,得到了腔内流噪声的特性。     

干涉型声屏障结构的研究

干涉型声屏障基于声波干涉消声原理并依据铁路噪声源特点设计制造而成。声学模型试验测试结果表明,干涉装置的降噪作用主要体现在位于声影区和亮区之间的过渡区域(亦称灰色区域),干涉装置附加降噪效果为3.0～5.6dB,与同高度的直立形声屏障相比,降噪效果提高2.0～3.2dB。与其它顶部吸声体相比,干涉型声屏障更适宜于控制铁路噪声。因此,在铁路噪声控制工程中具有良好的应用前景。     

Sail–sail and sail–hull interaction effects of hybrid-sail assisted bulk carrier

In a previously reported study, wind tunnel experiments were undertaken to investigate the aerodynamic characteristics of hybrid-sails in isolation. Such sails are seen as providing a worthwhile reduction in the delivered power to the propeller and hence the engine generated thrust, with a corresponding reduction in the CO₂ production of diesel engine exhaust. In this paper, wind tunnel testing is used to investigate sail–sail interaction effects for two sets of four identical hybrid-sails, and the sail–hull interaction effects for the same two sets of four identical sails in the presence of a bulk carrier hullform. The analysis presented suggests that to build a sail-assisted ship requires an appreciation of the sail–sail and sail–hull interaction effects.     

制订铁路环境噪声标准的基本方法

按照ISO及UIC关于制订环境噪声标准应遵循的“应基于各国经济、技术和人们对环境的要求不同,制订对应的标准限值,该限值可以给出一个最高极限值来满足环境保护的要求,再另设一个严格的、完全能符合人们环境要求的理想值”准则,目前,国内外通常采用社会调查法来了解社会各相关方对环境噪声的要求,将声级与烦恼度的关系用“高烦恼”来表示所受烦恼的程度,并将调查结果作为制订标准的参考依据。     

铁路噪声计算方法及南昌地区京九铁路噪声预测

随着列车速度的提高,铁路噪声已成为城市和铁路沿线居民日益关注的环境问题。根据现场实测数据和国外资料,提出了计算铁路噪声的方法,并对南昌地区京九铁路噪声进行了预测。