改进型保温挠性软管在某重型卡车上的应用

某国六重型卡车排气系统应用单层波纹管+伸缩管的保温软管结构,该结构在整车可靠性试验过程中,两款车型多次出现波纹管断裂问题.经对其结构分析,知现用保温挠性软管刚度过小,在整车运行过程中会发生运动失稳引起波纹管断裂,同时挠性软管两端应力集中引起端边波纹断裂,且波纹管波峰圆角过小(近似尖波)易造成波纹管断裂,故开发改进型保温...     

基于汽车保险数据评价乘用车安全性方法研究

文章结合国内外汽车安全技术的发展,选择与设定主动安全、被动安全、耐撞性与维修经济性三方面评价车辆安全性能的具体指标,并基于交通事故环境挖掘了人、时间、地域等影响安全评价的其他因素;利用层次分析法与专家调研法,确定评价车辆安全性能指标的权重,构建出评价车辆安全性能的有效算法,并分析了算法的可行性;基于某大型保险公司201...     

基于视觉识别的线控制动压力滑模控制

制动安全是车辆主动安全的关键技术之一.制动决策和执行器控制是影响线控制动系统性能的两个主要因素.路面自适应性和控制器鲁棒性分别对制动决策和执行器控制有着重要影响,制约着线控制动系统的发展.本文中以一种液压调控的线控制动系统为基础,针对路面自适应性和控制器鲁棒性问题,提出一种双层结构的制动系统控制器,上层采用计算机视觉的...     

基于直接CAA与SEA的汽车风噪预测与控制

本文中对某一SUV风噪的预测与控制进行研究.首先基于风洞测试进行风噪声源特性与传递路径的分析,发现泄漏噪声主要发生在500 Hz以上中高频段,车底风噪主要集中于800 Hz以下中低频段,而在外形噪声中,由车顶和四门传递的风噪的贡献大于翼子板.然后基于气动噪声直接计算法和统计能量分析对外形噪声进行仿真,并结合风洞测试分析...     

并联混合动力汽车ECMS的时变等效因子提取算法的研究

为解决当前等效燃油消耗最小控制策略(ECMS)未能根据实际工况选取最优等效因子的问题,利用动态规划算法(DP)和ECMS各自的优点,构建并联混合动力汽车能量算法模型,即采用动态规划算法的等效燃油消耗最小控制策略(ECMSwDP),将等效因子作为全局最优算法的控制变量,通过对等效因子的离散全局优化,获得基于工况的最佳时变等效因子。在标准工况下对时变等效因子实时控制策略与全局最优控制策略DP的各项性能参数进行了数值仿真,验证了时变等效因子提取算法的有效性和等效因子初始值选取方法的可行性。     

自动驾驶中座椅旋转速度对乘员的影响

为提高自动驾驶车辆的安全性,提出用一种旋转速度曲线把座椅旋转至指定角度,研究此旋转速度下的乘员生物力学响应.首先,根据所建立的碰撞模型与假人试验数据进行对比验证;其次,改变座椅旋转方向和速度研究乘员旋转至指定位置乘员的生物力学响应.结果表明:在200 ms内采用等腰梯形旋转速度曲线旋转至±45°和±90°不会引起乘员额...     

汽车雨水管理的数值仿真与评价

汽车在雨天行驶时,落到侧窗表面的雨水会影响驾驶员的侧向视野和后视野,从而危及行车安全,故侧窗雨水管理对于整车安全非常重要。但迄今为止对于侧窗雨水管理问题尚未有一个统一而有效的评价方法。为此,本文中应用液膜模型和拉格朗日粒子模型对某款SUV进行了雨水仿真,基于人机工程学和粒子束轨迹技术提出了侧窗雨水管理的评价方法,并对仿真结果进行了相应的分析。     

无砂混凝土作反滤层的试验研究

反滤层是防止土体渗透破坏的有效措施,无砂混凝土具有良好的透水性、过滤性和稳定性.由于无砂混凝土具有自身的稳定性,用作反滤结构时不需要设置多层;还可以起到支撑作用,替代部分沟壁、井壁和挡墙等结构,可用于公路、铁路、水工建筑物中作反滤层.对无砂混凝土保护不同类型土料进行反滤试验研究,提出了无砂混凝土作反滤层的设计准则.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.