Magic Formula轮胎模型参数辨识的一种混合优化方法

Magic Formula(MF)轮胎模型能够准确描述轮胎的侧偏特性,广泛应用于车辆动力学的研究。由于MF轮胎模型参数多,且高度非线性,从大量的试验数据中准确辨识这些参数相当困难。提出一种基于遗传算法和数值优化算法的混合优化方法,采用由粗到精的辨识过程,先利用遗传算法得出近似最优解,再利用数值优化算法辨识出精确的参数。利用辨识出的参数计算轮胎的侧偏特性,计算结果与试验数据吻合良好,表明该方法是辨识MF轮胎模型参数的有效手段。     

A comparison of various algorithms to extract Magic Formula tyre model coefficients for vehicle dynamics simulations

Tyre models are a prerequisite for any vehicle dynamics simulation. Tyre models range from the simplest mathematical models that consider only the cornering stiffness to a complex set of formulae. Among all the steady-state tyre models that are in use today, the Magic Formula tyre model is unique and most popular. Though the Magic Formula tyre model is widely used, obtaining the model coefficients from either the experimental or the simulation data is not straightforward due to its nonlinear nature and the presence of a large number of coefficients. A common procedure used for this extraction is the least-squares minimisation that requires considerable experience for initial guesses. Various researchers have tried different algorithms, namely, gradient and Newton-based methods, differential evolution, artificial neural networks, etc. The issues involved in all these algorithms are setting bounds or constraints, sensitivity of the parameters, the features of the input data such as the number of points, noisy data, experimental procedure used such as slip angle sweep or tyre measurement (TIME) procedure, etc. The extracted Magic Formula coefficients are affected by these variants. This paper highlights the issues that are commonly encountered in obtaining these coefficients with different algorithms, namely, least-squares minimisation using trust region algorithms, Nelder–Mead simplex, pattern search, differential evolution, particle swarm optimisation, cuckoo search, etc. A key observation is that not all the algorithms give the same Magic Formula coefficients for a given data. The nature of the input data and the type of the algorithm decide the set of the Magic Formula tyre model coefficients.     

赛车轮毂多功能集成化设计新方法

由于传统制造工艺在复杂曲面和集成化加工的局限性,导致方程式赛车轮毂的多功能集成化一直被制约,以至于传统赛车轮毂总成普遍存在体积硕大、重量大、传动效率低等问题。文章基于集成化设计原则,在保留传统赛车轮毂总成所需功能的前提下,改变赛车外球笼、轮毂、轮辐等的结构以进行集成化设计从而得到多功能集成化赛车轮毂。所获得的集成化赛车轮毂体积重量明显减小且传动效率明显提高,达到了通过集成化以实现轻量化的目标。     

Optimal tyre usage for a Formula One car

Variations in track temperature, surface conditions and layout have led tyre manufacturers to produce a range of rubber compounds for race events. Each compound has unique friction and durability characteristics. Efficient tyre management over a full race distance is a crucial component of a competitive race strategy. A minimum lap time optimal control calculation and a thermodynamic tyre wear model are used to establish optimal tyre warming and tyre usage strategies. Lap time sensitivities demonstrate that relatively small changes in control strategy can lead to significant reductions in the associated wear metrics. The illustrated methodology shows how vehicle setup parameters can be optimised for minimum tyre usage.     

Effect of the front and rear weight distribution ratio of a Formula car during maximum-speed cornering on a circuit

Because Formula cars are lighter than ordinary cars, the optimal settings for this type of car are thought to be different from those of a ordinary car. The front and rear weight distribution ratio of a vehicle is an important parameter that exerts a significant influence on critical cornering. The tendency of a ordinary car to under-steer during critical cornering is determined by the front and rear weight distribution ratio of the vehicle. Specifically, when the front of an ordinary FR (front-engine, rear wheel drive) vehicle is slightly heavier than the rear, the car tends to understeer during critical cornering. However, the optimal weight distribution ratio for critical cornering is not obvious for a formula car because of its lightness. This observation was investigated using a driving course similar to a real driving course to perform a maximum speed cornering simulations. It was found that a front to rear weight distribution ratio of 40:60 resulted in the fastest lap time. This ratio also gave the best results in the maximum-speed driving experiment performed using a driving simulator. Moreover, the maximum lateral acceleration during turning, the driving force, and the load movement of the inside and outside wheels was calculated using experimental driving force data and the concept of a tire friction circle. As a result, driving mechanics have been determined for a vehicle having a front/rear weight distribution ratio of 40:60 while traveling at maximum speed.     

散癖平胃方对人胃癌细胞SGC-7901侵袭转移的影响

目的观察散癖平胃(SPPW)方对人胃癌细胞SGC-7901侵袭转移能力的影响。方法 SPPW方含药血清干预人胃癌细胞SGC-7901 48h后,应用黏附实验、侵袭实验及迁移实验,检测SPPW方对人胃癌细胞SGC-7901侵袭转移能力的影响。应用实时定量聚合酶链反应(real-time PCR)检测SPPW对与侵袭转移有关的MMP-2和MMP-9mRNA表达的影响。结果 SPPW方各组含药血清干预人胃癌细胞48h后,SGC-7901细胞黏附抑制率、侵袭抑制率及迁移抑制率均增加且呈剂量依赖关系,与阴性对照组比较有统计学差异(P<0.01或P<0.05)。SPPW方三个剂量组对MMP-2mRNA的表达无统计学差异,对MMP-9mRNA的表达具有统计学差异(P<0.01)。结论 SPPW方可抑制人胃癌细胞SGC-7901黏附、侵袭和迁移能力,其抑制有明显的剂量依赖性,其抑制的机制可能与下调MMP-9的表达有关。     

绝缘缓冲橡胶垫板低温性能影响因素研究

高寒地区高速铁路扣件系统中的橡胶垫板性能受低温影响较大。通过不同配方和不同工艺的绝缘缓冲橡胶垫板的低温脆性试验研究了绝缘缓冲橡胶垫板低温性能的影响因素。研究结果表明:胶料中顺丁橡胶(BR)的含量越高,绝缘缓冲橡胶垫板的低温性能越好;增塑剂DOP,DOS和45#变压器油对绝缘缓冲橡胶垫板在-60℃的低温性能不利;选用不同生产厂家的炭黑对绝缘缓冲橡胶垫板低温性能的影响没有本质区别;低温慢速硫化工艺相对于高温快速硫化工艺更有利于绝缘缓冲橡胶垫板的低温性能。     

电动方程式赛车悬架系统设计与仿真

依托电动方程式赛车比赛要求,选取适合电动方程式赛车的悬架类型,对悬架进行合理的设计,并进行车轮定位参数的设定和刚度计算等,然后使用CATIA软件对悬架重要零部件进行建模,导入ANSYS软件对悬架的重要部件进行受应力分析.分析结果表明,此悬架系统重要部件刚度强度符合要求,赛车安装后可以安全行驶.     

长呼线和马惠线夏季运行方式对比分析

长呼线和马惠线都是输送长庆油田原油的长输管道。马惠线采用裸管,夏季采用常温输送方式,而长呼线采用保温管道,夏季却采用加热输送方式。文中从所输油品物性,管道沿线地温、管线总传热系数、油品输送距离等方面对比分析长呼线和马惠线的差异,探讨限制长呼线夏季常温输送可行性的因素,提出了长呼线夏季运行方式的优化方案,建议长呼线夏季采用首站不加热、中间站加热的运行方式。     

FSC赛车制动系统设计

本文提出了一套适用于FSC赛车制动系统的设计方法。选用简单液压盘式制动系统,并且加装平衡杆以调节制动器制动力分配系数。计算和分析表明,该制动系统能够满足比赛时动态测试的要求。