纯电骡子车开发及试制新方法应用

通过对比燃油汽车与纯电动汽车整车架构,分析燃油车改制纯电动骡子车的可行性.利用现有车型完成纯电动骡子车改制,不仅可以节省开发成本,还可以加快新产品升级换代.同时基于两种车型的差异性,制定相应的车型改制方案.阐述常见的改制内容与创新方法应用,为后续同平台新车型开发提供参考.     

基于机器人的车身焊接技术研究

目前,机器人在我国应用的范围相对比较广阔,在一定程度上能够取代人工的操作.工业机器人在实际的发展过程中是一种集机械以及电子计算技术等为于一体的人工智能的产品.本文研究分析了机器人的车身焊接技术研究.希望在一定的程度上能够为相关的工作人员提供一定的理论支持和实践参考.     

混合动力电动汽车多能源动力总成优化研究

研究并提出了串联式混合动力电动汽车的发动机、发电机、电动机、蓄电池等多能源动力总成系统的优化方法及评价指标,建立了优化数学模型,并与传统的优化方法进行了对比。分析表明,所提出的优化方法是可行的,可作为制定混合动力电动汽车控制策略的依据。     

二甲醚均质充量压燃发动机燃烧特性试验研究

通过改造一台压缩比为16．5的2-135柴油机,在其上实现DME的HCCI燃烧方式。试验结果表明,DME HCCI发动机不但可以实现无烟燃烧,而且可以有效控制发动机NOx排放,使其接近0排放。在试验负荷范围内,CO排放随负荷增加而降低;HC的排放随负荷变化不大。     

行星齿轮式桥间差速器的差速特性分析

对行星齿轮式桥间差速器的传动原理、差速特性和扭矩分配特性进行的分析表明，采用该种差速器，在前后轮与地面间的附着条件相同且实际轴负荷分配也基本符合比例时，能够最有效的利用车轮与地面间的附着条件，使汽车的通过性能得到很大程度的提高；在后桥负荷大于前桥负荷的情况下，合理调整扭矩分配特性，可明显提高全轮驱动汽车的通过性能。     

汽车工业的柔性化战略探析

随着信息技术的发展,客户搜寻产品的成本越来越低,其需求逐渐表现出“个性化”特征。从用户拉动生产的理念出发,企业必须变产品导向为客户导向,通过为客户创造价值实现自身的生存和发展。文章对汽车工业现状进行了详细分析,得出集汽车柔性制造体系、柔性供应链体系、柔性服务营销策略和柔性组织管理为一体的柔性化战略是适合现代汽车工业发展的有效模式。     

论我国城市客车工况循环标准修改的重要性

介绍国内外城市客车工况循环的现状.通过分析指出,我国现有的城市客车四工况循环已不能满足城市客车与电动客车研发的需要,并针对此标准提出修改建议.     

A signal-based fault detection and classification method for heavy haul wagons

This paper proposes a signal-based fault detection and isolation (FDI) system for heavy haul wagons considering the special requirements of low cost and robustness. The sensor network of the proposed system consists of just two accelerometers mounted on the front left and rear right of the carbody. Seven fault indicators (FIs) are proposed based on the cross-correlation analyses of the sensor-collected acceleration signals. Bolster spring fault conditions are focused on in this paper, including two different levels (small faults and moderate faults) and two locations (faults in the left and right bolster springs of the first bogie). A fully detailed dynamic model of a typical 40t axle load heavy haul wagon is developed to evaluate the deterioration of dynamic behaviour under proposed fault conditions and demonstrate the detectability of the proposed FDI method. Even though the fault conditions considered in this paper did not deteriorate the wagon dynamic behaviour dramatically, the proposed FIs show great sensitivity to the bolster spring faults. The most effective and efficient FIs are chosen for fault detection and classification. Analysis results indicate that it is possible to detect changes in bolster stiffness of ±25% and identify the fault location.     

Robust control for four-wheel-independent-steering electric vehicle with steer-by-wire system

A four-wheel-independent-steering (4WIS) electric vehicle (EV) with steer-by-wire (SBW) system is proposed in this paper. The fast terminal sliding mode controller (FTSMC) is designed for the SBW system to suppress external disturbances. Taking unstructured and structured uncertainties into consideration, a robust controller is designed for the 4WIS EV utilizing μ synthesis approach and the controller order reduction is implemented based on Hankel-Norm approximation. Since sideslip angle is the feedback signal of robust controller and it is hard to measure, the extended Kalman filter (EKF) is employed to estimate sideslip angle. To evaluate the vehicle performance with the designed control system, step and sinusoidal steering maneuvers are simulated and analyzed. Simulation results show that the designed control system have good tracking ability, strong robust stability and good robust performance to improve vehicle stability and handing performance.     

Bolster spring fault detection strategy for heavy haul wagons

An on-board health monitoring system is proposed for heavy haul wagons in this paper including a signal-based fault detection and isolation (FDI) method and an on-line fault diagnose strategy. Such a system, to be feasible on freight wagons, must be sufficiently cheap and robust, hence the design assumes the constraint of using only two accelerometers mounted on the front left and right rear part of each carbody in a heavy haul train. This paper focuses on the detection of bolster spring fault conditions. The problem is made more complex by the modes of failure which might be expected in bolster spring nests. Types of spring failure are firstly identified and discussed covering situations of broken (shortening springs) and softening (individual spring loss from a nest or cross-section loss through corrosion). The effects of these faults and their detectability were investigated using simulations on straight and curved track and using a fully detailed model of a typical 40?t axle-load heavy haul wagon. The simulation results were then examined and compared using cross-correlation analysis and an FDI system was proposed. The FDI system introduced five possible fault indicators. Initial results indicated that it was possible to detect changes in bolster stiffness of ±25%. An on-line fault diagnoses strategy is proposed for bolster spring faults which only requires data from wagon monitoring during travel around sharp curves to detect and the occurrence of confirm faults. The functionality envisaged needs only a ‘once per trip’ monitoring site, such as a sharper curve, and is aimed at condition monitoring rather than the provision of alarms or comprehensive monitoring of all events.