单电机重度混合动力系统行进间发动机起动控制策略研究

针对单电机重度混合动力系统行进间发动机起动过程的平顺性问题,对其起动过程进行了动力学分析,对系统关键部件湿式多片离合器进行了理论分析与试验研究,提出了行进间发动机起动过程电机协调转矩控制策略。利用Matlab/Simulink软件仿真平台,进行了起动过程的仿真分析,搭建试验台对发动机起动过程进行台架试验。仿真与试验结果表明,所提出的控制策略能有效保证行进间发动机起动过程的平顺性。     

并联式混合动力城市客车驱动系统研究

针对城市公交运行工况的特点,以混合动力系统为研究对象,设计集中变速电驱动的单轴并联式混合动力系统,对动力系统主要部件进行匹配与设计,并进行实车道路试验。试验表明,该方案能够实现整车的燃油经济性和动力性目标,并且成本控制合理。     

基于Petri网的UUV水下回收协调控制研究

水下无人潜器（UUV）水下回收是一个复杂的过程,它既有连续动态又有离散事件。针对UUV多变量、非线性、强耦合的特点,在其回收过程中针对不同的状态,提出一种基于Petri网的协调控制方法。采用混杂系统理论来分析动态过程和设定离散事件,并运用Petri网技术对回收过程的动作细节进行划分,通过实时测量和判断,分析和监控回收状态,以达到实时控制的目的。水池试验验证了Petri网技术对复杂过程描述分析方面的优越性,并成功解决了UUV回收过程运动中的逻辑协调问题。     

基于组合优化算法的混合动力客车控制策略优化

结合模拟退火算法全局优化能力强和非线性二次规划算法能够快速寻优的特点,使用Isight优化软件将二者建立组合优化算法对建立的功率解析控制策略进行全局优化。优化结果表明,所提出的组合优化算法避免了模拟退火算法局部优化不强的缺点,提高了优化质量和计算效率;在保证整车动力性的前提下,使整车综合油耗下降了12%。     

温州瓯江大桥钢箱梁整体提升安装施工技术

浙江温州瓯江大桥主桥为主跨200m的钢-混凝土混合梁刚构桥,按双幅布置,主梁采用单箱单室斜腹板截面,中跨跨中80 m范围采用钢箱梁结构,钢箱梁重约660 t.根据该桥结构特点,钢箱梁吊装采用桥面吊机整体提升的方法施工;采用两端同时焊接的方法焊接合龙口,温差控制在±5℃以内,所需要的切口量在20 mm以内;钢箱梁合龙口焊接时,首先按底板、腹板、顶板的顺序焊接环形接头对接焊缝,检测合格后再组焊嵌补件.该桥钢箱梁的吊装和连接已顺利完成,施工中各项工序进展顺利.     

混联式混合动力系统模糊控制器研究

控制器作为混合动力汽车中最具核心竞争力的技术,其好坏直接关系着车辆的各方面性能。文中利用matlab/simulink语言开发基于模糊算法的混联式混合动力系统控制器,实现最小燃油消耗同时兼顾排放性。将开发的混联式混合动力系统模糊控制器植入车辆顶层模块中,通过测试循环来比较嵌入模糊算法前后控制器对车辆经济性、排放性的控制。结果表明,开发的模糊控制器对提高车辆经济性效果显著,排放性能也有所改善。     

多模式混合动力汽车控制策略研究

针对目前混合动力汽车结构的优缺点及发展现状,提出一种双电机双离合器混合动力结构,在该结构下可实现多种驱动形式,综合各模式优势,可充分利用发动机、电机及电池特性,尽可能地节省能耗.在该混动结构下搭建了基于逻辑门限值和基于ECMS的瞬时优化能量管理策略,仿真及试验分析表明,基于ECMS的瞬时优化能量管理策略与基于规则的策略...     

Welfare maximization for bus transit systems with timed transfers and financial constraints

Conventional and flexible bus services may be combined to better serve regions with a wide range of characteristics. If demand densities and resulting service frequencies are low, the coordination of bus arrivals at transfer stations may significantly reduce passenger transfer times. A method is proposed for integrating, coordinating, and optimizing bus services while considering many‐to‐many travel patterns, demand elasticity, financial constraints, and appropriate service type for various regions. The objective is to maximize welfare, that is, the sum of producer and consumer surplus. The problem is solved with a hybrid optimization method, in which a genetic algorithm with bounded integer variables is selected for solving one of the subproblems. The service types, fares, headways, and service zone sizes are jointly optimized. Sensitivity analyses explore how the choice among conventional and flexible busses depends on the demand, subsidy, and demand elasticity parameters. The results also show that welfare can increase due to coordination, and these increases are found to be higher in cases with high demand or low subsidy. Copyright © 2015 John Wiley & Sons, Ltd.     

Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information

Short‐term traffic flow prediction is fundamental for the intelligent transportation system and is proved to be a challenge. This paper proposed a hybrid strategy that is general and can make use of a large number of underlying machine learning or time‐series prediction models to capture the complex patterns beneath the traffic flow. With the strategy, four different combinations were implemented. To consider the spatial features of traffic phenomenon, several different state vectors including different observations were built. The performance of the proposed strategy was investigated using the traffic flow measurements from the Traffic Operation and Safety Laboratory in Wisconsin, USA. The results show the overall performance of hybrid strategy is better than a single model. Also, incorporating observations from adjacent junctions can improve prediction accuracy. Copyright © 2017 John Wiley & Sons, Ltd.     

Energy efficiency optimization analysis of fuel cell/lithium battery hybrid ship based on whale optimization algorithm北大核心CSCD

[目的]为提升船舶的能源利用率,对多因素影响下的燃料电池/锂电池混合动力船舶能效优化方法进行分析。[方法]基于Matlab/Simulink仿真建模软件,建立对象船舶的能效仿真模型,研究通航环境要素对船舶能效的影响。考虑动力源特性和船舶功率需求,提出基于模糊逻辑的功率分配策略,以优化系统能量流动。然后在此基础上,以系统总能耗最低为优化目标,建立考虑多因素的船舶航速非线性优化模型,采用鲸鱼优化算法开展优化模型动态寻优,并进行不同航行方法和航行时间约束下的能效优化分析。[结果]结果显示,在总航行时间不变的情况下,采用所提的考虑多因素的船舶能效优化方法可以降低船舶5.04%的总能耗和13.16%的燃料电池氢气总消耗。[结论]所述方法对船舶节能减排具有积极的作用,同时对提高船舶续航力和经济性具有重要意义。