AVL ISAC软件在汽车动力性能试验中的应用

用AVL公司的ISAC软件对其进行室内台架整车道路模拟试验，将所测得的实际汽车在行驶过程中所受到的各种阻力及参数变成模拟的信号，用软件来控制电力测功机对发动机施加与实际工况近似的力，得到整车的动力性能试验结果。该结果证明其整车动力性能达到要求，动力系统设计方案是实用、可行的。     

柴油机高低压EGR系统模拟分析

EGR技术能有效降低机内NOx排放,EGR率的提升是EGR技术关键之一。通过对某柴油机六缸高压EGR系统进行改进,提出高压加低压EGR系统这一新式布置方案,并利用AVL boost软件进行仿真计算。结果表明,高低压EGR系统具有提升EGR率的潜力。     

快速公交（BRT）智能系统规划与设计研究

快速公交系统作为一种新型的客运模式,以其工程投资少、建设周期短、环境污染小、运输效率高等优点而被认为是解决城市交通拥堵问题的有效方式之一,成为世界范围内城市交通领域研究的热点。以大连市快速公交示范线工程建设为背景,对快速公交系统的规划和设计进行了探讨和应用。     

并联混合动力汽车中巡航系统的研究与实现

通过分析汽车巡航控制系统的基本原理，提出了一种应用于并联混合动力汽车巡航控制系统设计方案，并阐述了这一系统的控制及实现过程。同传统的汽车巡航系统相比，这一方案改普了汽车发动机的燃料经济性和发动机的排放性能。同时具有成本低，容易实现的特点。     

Estimation of population origin–interchange–destination flows on multimodal transit networks

Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) data to infer the times and locations of passenger origins, interchanges (transfers), and destinations on multimodal transit networks. The resultant origin–interchange–destination flows (and the origin–destination (OD) matrices that comprise those flows), however, represent only a sample of total ridership, as they contain only those journeys made using the AFC payment method that have been successfully recorded or inferred. This paper presents a method for scaling passenger-journey flows (i.e., linked-trip flows) using additional information from passenger counts at each station gate and bus farebox, thereby estimating the flows of non-AFC passengers and of AFC passengers whose journeys were not successfully inferred.The proposed method is applied to a hypothetical test network and to AFC and AVL data from London’s multimodal public transit network. Because London requires AFC transactions upon both entry and exit for rail trips, a rail-only OD matrix is extracted from the estimated multimodal linked-trip flows, and is compared to a rail OD matrix generated using the iterative proportional fitting method.     

基于AVLBOOST仿真优化及柴油机性能预测

为了使AVLBOOST软件能够更真实的模拟计算本公司生产240/275系列柴油机,并对新研制的12V240ZJH型柴油机进行性能预测.首先以16V240ZJE型柴油机为基础,在真实的试验数据指导之下,综合应用柴油机的性能知识,通过参数的调整、优化,最终得到了可靠的仿真计算模型.在此基础之上,对12V240ZJH型柴油机进行性能模拟计算,并对其性能进行评价预测,为柴油机的研制和试验起到了积极的指导作用.     

基于CRUISE的混合动力汽车仿真分析

文章基于混合动力汽车的整车参数,结合其动力性和经济性要求,对动力系统主要元件进行了型号选择与参数匹配。在AVL CRUISE软件环境中搭建整车模型,进行信号连接,搭建控制策略。建立满负荷加速测试,稳态行驶测试,爬坡度测试,循环工况测试共四个计算任务,比照前期设定的期望达到的目标进行简单地分析,证明了文章所设计的混联式混合动力汽车的性能是符合标准的。     

电动汽车Cruise模型及其动力经济性匹配分析

根据某电动汽车的计算参数,文章在理论研究的基础上,对驱动电机、动力电池、传动系统和轮胎进行了参数匹配。基于AVL Cruise建立了整车性能仿真模型,继而对该款电动汽车整车进行了动力性和经济性模拟仿真分析。通过仿真验证了该款汽车动力性指标和经济性指标均符合要求,且验证了其动力系统理论匹配和经济性分析方法的合理性。     

On the use of Lagrangian observations from public transport and probe vehicles to estimate car space-mean speeds in bi-modal urban networks

The Macroscopic Fundamental Diagram (MFD) has been recognized as a powerful framework to develop network-wide control strategies. Recently, the concept has been extended to the three-dimensional MFD, used to investigate traffic dynamics of multi-modal urban cities, where different transport modes compete for, and share the limited road infrastructure. In most cases, the macroscopic traffic variables are estimated using either loop detector data (LDD) or floating car data (FCD). Taking into account that none of these data sources might be available, in this study we propose novel estimation methods for the space-mean speed of cars based on: (i) the automatic vehicle location (AVL) data of public transport where no FCD is available; and (ii) the fused FCD and AVL data sources where both are available, but FCD is not complete. Both methods account for the network configuration layout and the configuration of the public transport system. The first method allows one to derive either uni-modal or bi-modal macroscopic fundamental relationships, even in the extreme cases where no LDD nor FCD exist. The second method does not require a priori knowledge about FCD penetration rates and can significantly improve the estimation accuracy of the macroscopic fundamental relationships. Using empirical data from the city of Zurich, we demonstrate the applicability and validate the accuracy of the proposed methods in real-life traffic scenarios, providing a cross-comparison with the existing estimation methods. Such empirical comparison is, to the best of our knowledge, the first of its kind. The findings show that the proposed AVL-based estimation method can provide a good approximation of the average speed of cars at the network level. On the other hand, by fusing the FCD and AVL data, especially in case of sparse FCD, it is possible to obtain a more representative outcome regarding the performance of multi-modal traffic.