双电机耦合驱动电动汽车驱动模式划分与优化

为充分发挥一款双电机耦合驱动系统电动汽车(DMCP-EV)多驱动模式的节能优势,制定了基于系统效率最优的驱动模式控制策略。根据该双电机耦合驱动系统的结构特点,定义了电机4种驱动模式并分别建立其动力学驱动模型和系统效率模型。在满足动力性要求的前提下,分析并划分了各驱动模式的工作范围,以系统效率为优化目标,采用粒子群优化算法进行优化,获得最佳的驱动模式切换控制和转矩分配策略。开展了Matlab/Simulink仿真和硬件在环试验验证。结果表明,经系统效率优化的驱动模式在满足动力性要求的前提下,有效提高了双电机耦合驱动系统的经济性,能耗降低11%。     

基于补偿滑模控制的混合动力汽车协调控制

由于行星排功率分流式混合动力汽车的结构优势,双行星排功率分流式混合动力汽车已经成为各机构的研究重点。由纯电动模式到混合驱动模式切换的过程中存在发动机起动和发动机转矩引入,而发动机转矩瞬态响应存在迟滞,导致切换过程中动力系统的输出转矩会有较大波动。为减小波动,降低模式切换过程中的动态冲击度,本文中提出补偿滑模控制方法,对双行星排功率分流式混合动力汽车模式切换进行协调控制。首先,建立整车动力学模型,对切换过程每个模式进行分析;之后,针对发动机拖转阶段和混合驱动阶段分别采用补偿控制和基于固定边界层的自适应滑模控制,并对滑模控制进行稳定性分析;最后,结合Matlab/Simulink软件平台进行仿真验证。仿真结果表明,补偿滑模协调控制策略能够有效地减小从纯电动到混合驱动模式切换过程中的转矩波动和冲击度。     

考虑弹性支撑边界条件的电动汽车-路面系统机电耦合振动特性分析

轮毂电机驱动电动汽车的簧下质量大导致轮胎动载荷增加,并且电机电磁力和转矩波动对车轮造成电机激励,进一步加剧车轮振动引起垂向振动负效应的问题。鉴于此,考虑电机的电磁激励,建立了电动汽车-路面系统的机电耦合动力学模型,推导了弹性支撑边界条件下路面结构的模态频率和振型表达式,以及路面振动引起的二次激励。计算了简支与弹性支撑边界条件下的路面模态频率,根据频率分布进行了截断阶数选取,并分析了边界条件、电机激励和车速对路面响应的影响。在此基础上,研究了不同行驶速度、路基反应模量及路面不平顺幅值下,激励形式对汽车车身加速度、悬架动挠度和轮胎动载荷的影响。结果表明：路面不平顺幅值越小,弹性支撑对路面响应的影响越大,弹性支撑边界条件下的路面响应较小,电机激励会引起路面响应的增加;弹性支撑边界条件下,路面不平顺幅值和路基反应模量越小,考虑路面不平顺、路面二次激励和电机激励的三重综合激励对电动汽车响应的影响越大,激励形式对轮胎动载荷的影响最大,对车身加速度的影响次之,对悬架动挠度的影响最小;电机激励导致轮胎动载荷增加,对路面破坏和寿命产生的负效应不容忽视。所建电动汽车-路面系统机电耦合模型及研究思路可为电动汽车垂向动力学分析提供参考与理论支持。     

齐齐哈尔市中心城区电动汽车及充电设施需求预测研究

在目前能源危机和环境保护的双重制约下,发展电动汽车已经成为解决能源环境问题的新途径。为适应未来电动汽车快速发展的需要及充电设施的合理规划布局,电动汽车及充电设施的需求预测就显得尤为重要。文中分析了影响齐齐哈尔市电动汽车发展规模的影响因素,结合国内其他省市的经验,考虑齐齐哈尔市实际情况,对齐齐哈尔市中心城区的电动汽车和充电设施发展规模进行了合理预测。     

基于ADVISOR的纯电动汽车动力系统匹配及仿真

纯电动汽车作为新能源汽车行业发展的主要方向,在发展其核心技术中,动力系统的匹配对于发展纯电动汽车具有重要的意义,合理的动力系统匹配影响着汽车的动力性和续航里程等因素。根据纯电动汽车的整车参数和性能指标,计算选择动力系统的基本参数,并利用ADVISOR仿真软件进行仿真分析,为改进技术提供依据,验证了设计的有效性。     

赤水河红军大桥门式框架桥塔施工关键技术

赤水河红军大桥为主跨1200 m的单跨悬索桥,桥塔为门式框架结构,由塔肢和上、下2道横梁组成。为加快施工进度,对塔梁同步和塔梁异步2种施工方案进行综合比选,确定该桥采用塔梁异步施工方案。通过方案优化,施工中设置5道主动横撑,确保桥塔不出现拉应力;横梁采用空中附壁支架现浇施工,节省钢材,缩短工期;采用有限元软件对该方案进行仿真分析,验证了该方案的合理性。塔梁异步施工时,塔肢施工到一定高度后进行下横梁施工;塔肢封顶后,同步施工大桥上部结构和上横梁;通过横梁与塔肢结合处钢筋全断面Ⅰ级接头控制,增加塔肢混凝土凿毛厚度,采用定位钢筋串联法进行横梁锚杯相对位置及线形控制,预应力管道口采用定位钢筋进行位置固定,保证了桥塔施工质量。     

纯电动卡车总装混线生产的工艺研究

纯电动卡车的产品特点与传统燃油卡车既有共性又存在差异,对比两种车型的底盘装配和调试工艺后,在传统燃油车总装配线的基础上设计了一套新能源的装配工艺流程,不仅提高总装配车间柔性化生产,还实现了纯电动卡车和燃油卡车的混线生产。     

Consumer preferences for battery electric vehicles: A choice experimental survey in China

To accelerate the diffusion of battery electric vehicles (BEVs), consumer preferences for different products and policy attributes must be determined. Although previous studies have investigated consumer preferences for some product attributes, including purchase price, operation cost, driving range, and charging time, limited studies have discussed the broader aspects of product attributes, such as battery warranty and depreciation rate. Moreover, market-oriented incentives, including the personal carbon trading (PCT) scheme and the tradable driving credits (TDC) scheme, can theoretically be effective alternatives to expensive purchase subsidies. However, there is a lack of empirical evidence that confirms the influence of these two schemes on BEV adoption. To fill these gaps, we conducted a stated preference choice experimental survey in China and investigated the effect of product attributes, existing policy incentives, and two emerging market-oriented incentives on BEV adoption. Our results reveal that along with the main product attributes, battery warranty has a significant positive effect on inducing mainstream consumers to adopt BEVs while no preference difference occurs among existing policy incentives after purchase subsidies are abolished. For young consumers, almost all incentives that reduce the operation cost (e.g., PCT) or increase convenience (e.g., TDC) can increase their adoption of BEVs. These findings can provide important implications for the government with regard to designing novel incentives and promoting BEV adoption.     

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.