Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study

Fuel-switching personal transportation from gasoline to electricity offers many advantages, including lower noise, zero local air pollution, and petroleum-independence. But alleviations of greenhouse gas (GHG) emissions are more nuanced, due to many factors, including the car’s battery range. We use GPS-based trip data to determine use type-specific, GHG-optimized ranges. The dataset comprises 412 cars and 384,869 individual trips in Ann Arbor, Michigan, USA. We use previously developed algorithms to determine driver types, such as using the car to commute or not. Calibrating an existing life cycle GHG model to a forecast, low-carbon grid for Ann Arbor, we find that the optimum range varies not only with the drive train architecture (plugin-hybrid versus battery-only) and charging technology (fast versus slow) but also with the driver type. Across the 108 scenarios we investigated, the range that yields lowest GHG varies from 65 km (55+ year old drivers, ultrafast charging, plugin-hybrid) to 158 km (16–34 year old drivers, overnight charging, battery-only). The optimum GHG reduction that electric cars offer – here conservatively measured versus gasoline-only hybrid cars – is fairly stable, between 29% (16–34 year old drivers, overnight charging, battery-only) and 46% (commuters, ultrafast charging, plugin-hybrid). The electrification of total distances is between 66% and 86%. However, if cars do not have the optimum range, these metrics drop substantially. We conclude that matching the range to drivers’ typical trip distances, charging technology, and drivetrain is a crucial pre-requisite for electric vehicles to achieve their highest potential to reduce GHG emissions in personal transportation.     

Electric vehicle charging station locations: Elastic demand,station congestion,and network equilibrium

Battery-only electric vehicles (BEVs) generally offer better air quality through lowered emissions, along with energy savings and security. The issue of long-duration battery charging makes charging-station placement and design key for BEV adoption rates. This work uses genetic algorithms to identify profit-maximizing station placement and design details, with applications that reflect the costs of installing, operating, and maintaining service equipment, including land acquisition. Fast electric vehicle charging stations (EVCSs) are placed across a congested city's network subject to stochastic demand for charging under a user-equilibrium traffic assignment. BEV users’ station choices consider endogenously determined travel times and on-site charging queues. The model allows for congested-travel and congested-station feedback into travelers’ route choices under elastic demand and BEV owners’ station choices, as well as charging price elasticity for BEV charging users.Boston-network results suggest that EVCSs should locate mostly along major highways, which may be a common finding for other metro settings. If 10% of current EV owners seek to charge en route, a user fee of $6 for a 30-min charging session is not enough for station profitability under a 5-year time horizon in this region. However, $10 per BEV charging delivers a 5-year profit of $0.82 million, and 11 cords across 3 stations are enough to accommodate a near-term charging demand in this Boston-area application. Shorter charging sessions, higher fees, and/or allowing for more cords per site also increase profits generally, everything else constant. Power-grid and station upgrades should keep pace with demand, to maximize profits over time, and avoid on-site congestion.     

Towards connected autonomous driving: review of use-cases

Connected autonomous vehicles are considered as mitigators of issues such as traffic congestion, road safety, inefficient fuel consumption and pollutant emissions that current road transportation system suffers from. Connected autonomous vehicles utilise communication systems to enhance the performance of autonomous vehicles and consequently improve transportation by enabling cooperative functionalities, namely, cooperative sensing and cooperative manoeuvring. The former refers to the ability to share and fuse information gathered from vehicle sensors and road infrastructures to create a better understanding of the surrounding environment while the latter enables groups of vehicles to drive in a co-ordinated way which ultimately results in a safer and more efficient driving environment. However, there is a gap in understanding how and to what extent connectivity can contribute to improving the efficiency, safety and performance of autonomous vehicles. Therefore, the aim of this paper is to investigate the potential benefits that can be achieved from connected autonomous vehicles through analysing five use-cases: (i) vehicle platooning, (ii) lane changing, (iii) intersection management, (iv) energy management and (v) road friction estimation. The current paper highlights that although connectivity can enhance the performance of autonomous vehicles and contribute to the improvement of current transportation system performance, the level of achievable benefits depends on factors such as the penetration rate of connected vehicles, traffic scenarios and the way of augmenting off-board information into vehicle control systems.     

基于交通信息的电动汽车制动策略及仿真

为了提高滑行能量回收经济性和踏板制动安全性、舒适性,基于交通信息,提出了电动汽车(EV)制动协调策略。分析了滑行制动的经济性,由交通信息和汽车行驶状态确定滑行制动强度;由道路信息和前方车辆信息建立汽车安全距离模型和碰撞预警策略,利用预警信息对滑行制动和踏板制动强度进行协调。对本策略进行仿真验证。结果表明:利用交通信息的滑行策略,在通行良好工况下综合能耗减少1.1%,拥堵工况下减轻驾驶员的制动疲劳;预警和协调策略避免了频繁预警,减小了紧急避撞触发几率。因此,利用交通信息能够辅助驾驶员进行更加合理的制动。     

山路行驶的柴油车污染物排放特性试验

在山路和平路上,进行了不同载荷下国V柴油车的实际道路行驶排放(RDE)试验.采集车速、海拔、氮氧化物(Nox)和颗粒物数量(PN)排放浓度等数据,分析了道路坡度、车辆载荷与输出功率对排放的影响.研究发现:测试柴油车辆,在平均坡度约6％山路行驶时Nox排放因子高于平路20％以上,PN低于平路20％以上.道路坡度自0增大到...     

电动汽车PCU系统功能安全开发及测试方法研究

PCU系统作为电动汽车整车上的关键电控系统,其功能安全技术水平直接影响整车安全。本文基于某款混动车型搭载的PCU系统的功能安全V模型开发过程,从整车层面给出了相关项定义、危害分析和风险评估、安全目标、功能安全要求、技术安全要求,并在V模型开发右侧以故障注入测试为例给出了功能安全验证和确认方法示例,为开展PCU系统功能安全正向开发提供借鉴和参考。     

新机遇下我国新能源汽车换电模式发展前景分析

换电模式是一种新能源汽车快速补电方式,具有补电速度快、自动化水平高、集成度高等优点,可大大降低消费者里程焦虑。还可实现“车电分离”销售,解决消费者购车成本高的难题。由于受到换电标准不统一、换电车型少等因素限制,新能源汽车换电模式发展较为缓慢。随着财政补贴退坡,换电模式重新引起政府部门和行业企业重视。文章重点研究了换电模式技术路线、应用现状和技术优势,分析了新的机遇下换电模式的发展空间和市场前景。     

重型汽车低附着路面制动稳定性的仿真研究

文章利用trucksim重型汽车动力学仿真软件,对六轮双轴重型汽车在低附着路面左右车轮附着系数不一致情况下进行紧急制动的行驶工况进行了仿真研究。研究结果表明在低附着路面进行紧急制动时,对制动轮进行制动压力控制,有ABS控制的重型汽车比没有ABS控制的重型汽车具有更好地行驶稳定性。但在低附着路面上,有ABS控制的重型汽车比没有ABS控制的重型汽车的制动距离增加了很多,这对重型汽车的行车安全性非常不利。     

汽车列车的转弯半径计算

由于运输效率提升的需要,一辆汽车会拖挂多台挂车,为了满足后期运营场景,在设计之初就应对这种汽车列车的最小转弯半径进行计算,评估运营场地或道路情况。文章主要通过汽车列车转动时没有相对转动角速度这一前提条件,对拖拽多台挂车的汽车列车的最小转弯半径进行分析计算,从而得出拖拽3台挂车的最小转弯半径公式,并由此推导出拖拽n台挂车的转弯半径的计算公式。运用该公式对某一机场牵引列车进行计算,该公式的计算结果与实际运营场景相符,证实该公式可用于工程开发和实车应用评估。     

信号控制交叉口左转非机动车过街模式适用性

为分析信号控制交叉口两种左转非机动车过街模式（机动车和非机动车一体化模式以及行人和非机动车一体化模式）的适用条件,在动态交通条件下,定量分析两种模式对典型两相位和四相位信号控制交叉口通行效率和安全性的单独与综合影响。在通行效率方面,选取机动车通行能力作为评价指标;在安全性方面,引入一个可比选交通设计方案的指标——交通当量冲突。通过理论与实例分析,从通行效率和安全性两方面给出了两种模式的适用性。结果表明：两种模式在上述方面均有单独优势;两相位信号控制交叉口,在相应的左转非机动车和机动车交通量条件下两种模式均能同时提高交叉口通行效率和安全性;四相位信号控制交叉口,两种模式均不能同时起到积极作用。