不同动力电池新能源货运配送车辆节能减排绩效评价研究

为研究新能源货运车辆装配不同动力电池对节能减排的影响,选取某款新能源货运配送车辆为研究对象,利用GaBi软件建立了3种常用动力电池的整车生命周期评价模型,从原材料获取、生产制造、装配、运行使用、报废回收5个阶段进行节能减排差异分析,并对全球变暖潜值 （Global Warming Potential,GWP） 等环境影响类型进行归一化处理和量化计算处理。结果表明,分别装配3种电池整车的化石能源消耗以煤炭为主、环境排放以CO2为主;纯电动汽车的能源消耗、污染物排放集中在运行使用阶段;综合比较,装配了三元锂电池的整车,其全生命周期节能减排效果最佳,装配了锰酸锂电池的整车则表现最差。加大清洁能源的使用力度、减少用于电力生产的化石能源消耗、提高回收率等措施,可以显著减少污染物排放。     

我国清洁汽车的发展及对策

简述了我国清洁汽车的发展概况和存在的主要问题,重点提出我国清洁汽车“应加快燃油汽车先进排放控制技术的研发与应用;代用燃料汽车的发展重点应继续放在单一燃料燃气汽车上;混合动力汽车应加快发展,但自主开发应谨慎”等对策及建议。     

中国汽车工业可持续发展的必由之路--新型能源清洁汽车

随着汽车的不断普及,来自能源及环保的压力不断增大。分析了电动汽车及代用燃料汽车的前景,并阐述了我国应当加快清洁能源汽车研制的必要性及在该领域已经取得的成果,最后展望了我国未来新型能源汽车的前景。     

人工智能在车辆自动驾驶中的应用

提出一种新的基于人工智能的感知 计划 动作agent结构实现智能车辆自动驾驶的方案。首先通过描述该结构的原理说明该结构可以解决自动驾驶中存在的一些问题,接着通过建立自动驾驶知识库阐述如何具体实现自动驾驶,最后通过仿真实验验证该方法能够为智能车辆实现自动或辅助驾驶提供一种非常有效的机制。     

电力驱动式汽车巡航控制系统结构研究

汽车巡航控制系统是由传感器、控制开关、电子控制器和执行机构组成。按执行机构的结构不同,巡航控制系统可分为真空驱动式和电力驱动式两种,本文主要分析电力驱动式巡航控制系统控制开关和执行机构的功用、结构与原理。     

基于MTG的永磁电机启动性能研究

高速永磁电机是MTG发电的关键技术之一，通常采用变频调速的启动方法。高速和高频的特性，决定了高速电机的设计与普通电机有较大的不同。通过建立数学模型，采用仿真的方法可以较准确获得永磁电机的启动性能。     

液压马达实验方法研究

介绍了液压试验分类方式,根据其独具的特点对在用液压马达性能试验加载方法进行分析,并分类对工程机械用各种液压马达在泵工况下进行试验的可行性进行了探讨.     

电动汽车充电桩安全管理研究

随着国家对环境保护和能源节约的重视以及新能源政策的实施,电动汽车行业迎来了快速发展。充电基础设施的建设,是加快电动汽车推广的重要需要。电动汽车充电基础设施建设和运营业务发展的机会也极大,随之而来的安全管理工作要求也越来越高。本文依据充电桩建设和运营的特点,剖析其中面临的安全风险,并提出加强安全管理工作的措施,为充电桩企业安全管理运营提供参考和借鉴。     

Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations

On the grounds that individuals heavily rely on the information that they receive from their peers when evaluating adoption of a radical innovation, this paper proposes a new approach to forecast long-term adoption of connected autonomous vehicles (CAVs). The concept of resistance is employed to explain why individuals typically tend to defer the adoption of an innovation. We assume that there exists a social network among individuals through which they communicate based on certain frequencies. In addition, individuals can be subject to media advertisement based on certain frequencies. An individual’s perceptions are dynamic and change over time as the individual is exposed to advertisement and communicates with satisfied and dissatisfied adopters. We also explicitly allow willingness-to-pay (WTP) to change as a result of peer-to-peer communication. An individual decides to adopt when (i) there is a need for a new vehicles; (ii) his/her WTP is greater than CAV price; and (iii) his/her overall impression about CAVs reaches a cutoff value. Applicability of the proposed approach is shown using a survey of employees of the University of Memphis. Our results show that the automobile fleet will be near homogenous in about 2050 only if CAV prices decrease at an annual rate of 15% or 20%. We find that a 6-month pre-introduction marketing campaign may have no significant impact on adoption trend. Marketing is shown to ignite CAV diffusion but its effect is capped. CAV market share will be close to 100% only if all adopters are satisfied with their purchases; therefore, the probability that an individual becomes a satisfied adopter plays an important role in the trend of adoption. The effect of the latter probability is more pronounced as time goes by and is also more prominent when CAV price reduces at greater rates. Some caveats may be inserted when considering the study results as the findings are subject to sample bias and data limitations.     

Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach

In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicles are allowed at a single location. The objective function of the model has no closed form expression. A genetic algorithm is constructed to solve the model. With the help of the genetic algorithm, the effect of assigning multiple vehicles on the mean response time is reported.