动力锂电池与电力推进船舶发展分析

文章通过对主要类型锂离子电池技术指标和特性进行梳理,研究了锂离子电池的热管理技术、安全性、火灾消防技术等应用重点环节的技术要点,分析了锂电池在船舶动力系统中的作用及全电池动力系统和混合动力系统的技术特点,为应用锂电池的新能源船舶研发提供参考。最后介绍了目前国内外应用储能电池动力船舶的多个典型案例,简要阐述了各个案例中的船舶核心参数和主要特点,总结了当前电池动力船舶的主要应用船型、锂电池类型、应用市场及政策、规范现状,认为锂电池动力船舶的发展前景光明,但在相关政策和船舶规范研究方面尚需进一步完善。     

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.     

PHEV发动机驱动工况效率耦合分析与优化控制

单轴并联式混合动力系统（Parallel Hybrid Electric Vehicle,PHEV）包括电池、驱动电机、发动机、自动变速器等多个关键部件。各部件效率特性存在相互耦合的关系,要实现系统整体效率最优,需要辨明影响系统效率的控制参数,并对系统整体效率最优的控制参数进行优化。以装备无级变速器（Continuously Variable Transmission,CVT）的PHEV为研究对象,首先对系统各关键部件的效率特性进行分析,建立各关键部件效率模型,明确各部件效率与控制参数、状态参数之间的关系。在此基础上,对发动机单独驱动模式下动力传递路径中不同部件的效率耦合关系进行分析,推导出系统燃油消耗量与动力系统各状态参数、控制参数之间的函数关系。根据分析结果,选取车辆需求功率及车速为状态参数,变速器速比及发动机转矩为控制参数,以系统燃油消耗量最小为目标建立优化目标函数和约束条件,对系统优化问题进行定义。根据优化问题的特点,设计基于模拟退火的优化算法对优化问题进行求解,获取系统燃油消耗率最小时变速器目标速比和发动机目标转矩随状态参数的变化关系。建立系统仿真模型对所述优化算法进行仿真分析,并搭建混合动力试验台对优化结果进行试验验证。结果表明：无级变速器效率对系统整体效率影响较大,采用优化控制规律使发动机效率有所降低,但无级变速器效率升高更大,系统整体效率升高;在功率需求一定的循环工况下,优化控制算法比传统上仅以发动机效率最高为目标的控制算法节油1%~2%。     

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。     

一种新型电动汽车电控系统示教装置设计

电动汽车的核心技术为“三电”技术,电控系统是电动汽车发展的关键技术之一。本设计以吉利EV450纯电动汽车的电控系统为研究对象,提出优化电动汽车电控系统的研究设计方案,以汽车电器技术为基础,以单片机为核心控制器,设计示教装置电路,实现对该系统的工作原理展示,模拟电动汽车电控系统的运行状态、信号处理及状态监控等功能。     

奥迪混合动力车型绝缘电阻故障引起整车无电动模式故障2例

有一辆奥迪Q5 hybrid混合动力汽车和一辆奥迪A6L e-tron混合动力汽车启动时,仪表报警,均显示混合动力系统故障,均无电动模式。初步判断故障范围在高压系统的高压线路连接以及安全控制系统。结合诊断仪读码的分析,故障范围锁定在某个或者多个高电压部件不绝缘,通过对所涉及的元件、电路等进行检测,故障点分别为电驱动装置的功率和控制电子单元内部积水、高电压蓄电池充电器内部不绝缘故障,对其分别进行积水清理、部件更换后,车辆仪表报警灯消失,可正常电动行驶。     

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。     

一种纯电动汽车坡道辅助起步系统研究

本文介绍一种纯电动汽车坡道辅助起步系统。进入坡道辅助起步功能后,可第一时间响应误差较小的防溜坡扭矩预测值,从而提升车辆稳定性和平顺性。     

纯电动汽车动力电池系统的低温性能研究

以搭载三元锂电池的纯电动汽车为研究对象,对某纯电动汽车动力电池系统的低温性能进行试验研究,结果表明:续驶里程在-10℃时相比25℃时下降46%,电池荷电量为30%,-10℃时的峰值放电功率比25℃时衰减了51%,电池容量衰减11.6%。为低温环境下纯电动汽车的性能研究提供一定的依据。