航班延误恢复调度的混合粒子群算法

为了优化航班延误恢复调度,考虑了航班延误的经济效益、社会影响和经济损失构成,定义了航线影响因子,构建了一种新的航班延误恢复调度模型,将局部搜索方法引入到粒子群算法中,提出了求解航班延误恢复调度问题的混合粒子群算法。计算结果表明:与先来先服务调度方法相比,混合粒子群算法可以减少航班延误损失4.2%,与基本粒子群算法和进化策略算法相比,混合粒子群算法平均可减少航班延误损失2.0%,随着航班延误恢复规模的增大,算法优势会更明显。     

混合动力客车制动能量回馈及控制仿真研究

基于AVL Cruise软件建立了并联式混合动力客车模型,设计了并联混合动力客车控制策略,在纯电机制动模式和机电混合制动模式下对混合动力客车的能量再生制动进行了仿真。仿真结果表明：在纯电机制动模式下能较充分回收汽车制动动能,但是制动效能较低;在机电混合制动模式下,制动效能高,与纯机械制动效能基本一致,但电机再生制动回收能量的效果不很明显。     

三角刚架斜腿约束作用及影响系数实用计算方法

为研究三角刚架斜腿对系梁预应力约束作用的量化影响,通过揭示其作用全过程,引入基本假设,基于混合法推导出对称三角刚架斜腿约束作用影响系数的计算公式,通过拆合过程,进一步提出了非对称三角刚架的影响系数实用计算方法,并进行了工程实例验证分析.研究结果表明:斜腿约束作用为三角刚架固有特性,其影响系数仅与截面尺寸、材料、几何形状有关;约束作用影响系数的公式计算结果与有限元分析结果及模型试验结果相对误差在5％以内,可满足工程精度要求;消除斜腿约束作用不利影响的最优解决方案是在设计中提高系梁预应力的张拉控制力,若设计时未考虑,也可在施工中采取分段浇筑系梁混凝土或在斜腿中预留后浇带的方法解决.     

大跨径斜拉拱桥结构受力的敏感性分析

斜拉拱桥是一种多变量结构体系,各设计参数影响结构受力且参数的不同取值对结构的安全性影响存在较大差异。湘潭市湘江四大桥主桥(120 400 120)m斜拉钢管混凝土飞燕式拱桥的参数敏感性分析结果表明,主拱轴线偏差、钢管内混凝土的收缩徐变等对结构的影响较大。     

基于Cruise的ISG混合动力中型卡车能量分配策略研究

文章对ISG混合动力中型卡车发动机、电池、电机的联合工作进行了分析,并基于Matlab/Simulink建立了整车能量分配控制策略,基于AVL/Cruise建立了整车被控对象模型,进行了联合虚拟仿真。对仿真结果,包括整车的经济性、排放、SOC等性能进行了分析和研究,说明采用ISG混合动力系统的中型卡车实现了节油,并且保证了电池SOC平衡,车辆动力性能够满足要求,控制策略是有效的。     

PK6113PHEV混合动力城市客车研发

详细介绍PK6113PHEV混合动力城市客车的技术特点、工作原理、底盘和车身设计。     

基于电子风扇控制的混合动力客车散热器面积计算

混合动力客车配置电子风扇是发展趋势,但电子风扇的转速、扇叶直径、整车电流对冷却效果有较大影响。用传统方法匹配散热器,很难满足发动机的冷却需要。本文提出一种针对于电子风扇控制冷却的散热器散热面积计算方法。     

Actively controlled vehicle suspension with energy regeneration capabilities

The paper presents an innovative dual purpose automotive suspension topology, combining for the first time the active damping qualities with mechanical vibrations power regeneration capabilities. The new configuration consists of a linear generator as an actuator, a power processing stage based on a gyrator operating under sliding mode control and dynamics controllers. The researched design is simple and energetically efficient, enables an accurate force–velocity suspension characteristic control as well as energy regeneration control, with no practical implementation constraints imposed over the theoretical design. Active damping is based on Skyhook suspension control scheme, which enables overcoming the passive damping tradeoff between high- and low-frequency performance, improving both body isolation and the tire's road grip. The system-level design includes configuration of three system operation modes: passive, semi–active or fully active damping, all using the same electro-mechanical infrastructure, and each focusing on different objective: dynamics improvement or power regeneration. Conclusively, the innovative hybrid suspension is theoretically researched, practically designed and analysed, and proven to be feasible as well as profitable in the aspects of power regeneration, vehicle dynamics improvement and human health risks reduction.     

Stability enhancement and fuel economy of the 4-wheel-drive hybrid electric vehicles by optimal tyre force distribution

In this paper, vehicle stability control and fuel economy for a 4-wheel-drive hybrid vehicle are investigated. The integrated controller is designed within three layers. The first layer determines the total yaw moment and total lateral force made by using an optimal controller method to follow the desired dynamic behaviour of a vehicle. The second layer determines optimum tyre force distribution in order to optimise tyre usage and find out how the tyres should share longitudinal and lateral forces to achieve a target vehicle response under the assumption that all four wheels can be independently steered, driven, and braked. In the third layer, the active steering, wheel slip, and electrical motor torque controllers are designed. In the front axle, internal combustion engine (ICE) is coupled to an electric motor (EM). The control strategy has to determine the power distribution between ICE and EM to minimise fuel consumption and allowing the vehicle to be charge sustaining. Finally, simulations performed in MATLAB/SIMULINK environment show that the proposed structure could enhance the vehicle stability and fuel economy in different manoeuvres.     

Effective assessment of tyre–road friction coefficient using a hybrid estimator

Vehicle stability and active safety control depend heavily on tyre forces available on each wheel of a vehicle. Since tyre forces are strongly affected by the tyre–road friction coefficient, it is crucial to optimise the use of the adhesion limits of the tyres. This study presents a hybrid method to identify the road friction limitation; it contributes significantly to active vehicle safety. A hybrid estimator is developed based on the three degrees-of-freedom vehicle model, which considers longitudinal, lateral and yaw motions. The proposed hybrid estimator includes two sub-estimators: one is the vehicle state information estimator using the unscented Kalman filter and another is the integrated road friction estimator. By connecting two sub-estimators simultaneously, the proposed algorithm can effectively estimate the road friction coefficient. The performance of the proposed estimation algorithm is validated in CarSim/Matlab co-simulation environment under three different road conditions (high-μ, low-μ and mixed-μ). Simulation results show that the proposed estimator can assess vehicle states and road friction coefficient with good accuracy.