增程式电动环卫车动力系统匹配与仿真

进行增程式电动环卫车动力系统的匹配,对驱动电机、增程器和动力电池组等关键部件进行了选型和指标验证.基于Matlab/Simulink搭建了整车正向仿真模型,对增程器在恒功率模式和功率跟随模式两种控制策略下进行了百公里典型城市公交连续工况仿真.结果表明:匹配的动力系统能够满足增程式电动环卫车的工况要求;增程器能够在动力电池荷电状态下降到设定值时开启,以延长车辆的续驶里程,并能够使电池组荷电状态维持在一定的区间.从能量消耗来看,基于增程器开关运行的恒功率模式和功率随动模式在我国典型城市公交工况下的平均等效百公里油耗分别为28.70 L和29.51 L,即恒功率模式的等效百公里燃油消耗比功率跟随模式的等效百公里燃油消耗少0.81 L.     

增程式电动汽车专项热管理系统研究

增程式电动汽车具有低成本、节油率高、低排放诸多优点.其热管理系统是保障增程式电动汽车在所有气候条件下有效运行,达到节能减排必不可少的.本文介绍各种已被采用和还处于研究中的冷却和加热方法,以此为基础,提出了热管理系统有待提高之处,为后续研究提供参考.     

电动公交更换式充电站的优化设计

更换式充电站具有提高车辆利用率、电池充电温度可控和电池维护便利等优点,成为国内纯电动公交车最主要的能源补给模式,同时更换式充电站也具有使用电池数量大、占地面积大、投资规模大等缺点.本文建立了基于高峰发车间隔、平峰发车间隔、高峰持续时间、平峰持续时间、电池回站SOC等参数的更换式充电站的车辆数量、电池数量和更换工位数量计算方法,建立了基于锂离子电池充电曲线的充电站总充电功率的计算方法,通过实际充电站的运行数据测试,验证了本文提出的相关方法的可行性和准确性.     

中国新能源汽车发展前景展望

从汽车发展遇到能源环境的挑战方面．探讨了混合动力汽车、燃料电池汽车、电动汽车等各种新能源汽车的发展状况及应用前景,并对中国新能源汽车发展前景做了综合比较分析与展望。     

电动汽车电池包热管理系统设计方法

电池包的热管理是电动汽车和混合动力电动汽车在所有气候条件下有效运行必不可少的。文章介绍了电池组热管理系统的功能,电池组热管理系统设计的一般流程和采用的方法,分析了温度对电池组性能和寿命的影响。指出按照合理有序的步骤和方法设计,能更加有效地设计出合理的热管理系统,提高电池包的性能和寿命周期,并缩短设计周期,避免不必要的重复工作。     

轻型车身材料在电动汽车上的应用与发展

随着电动汽车技术的发展,轻量化车身材料成为电动汽车研究的一个重要方向。本文介绍了高强度钢板、铝合金、镁合金、金属泡沫等轻型材料在电动汽车上的应用,并例举了国内外的应用发展情况,指出塑料、复合材料是未来轻型材料的发展方向。     

电动汽车CAN总线通用协议的应用研究

以类菱形混合动力电动汽车(qr_HEV)研制过程中的具体应用为背景,以CAN总线的车辆应用层通信标准SAE J1939为参考,针对各种类型电动汽车的特点,提出了一种通用协议CN2004(包括CN2004A和CN2004B),并对29位ID的通信协议CN2004B进行了详细的介绍,在qr_HEV上的运用实践表明该协议是可行的。     

增程式电动车的APU控制策略的研究

提出了一种由永磁同步电机和汽油机组成的辅助动力单元(APU)的控制策略.通过仿真与试验选定控制参数.为改善APU的动态和稳态性能,采用模糊控制策略.试验结果表明,本文提出的控制策略能很好地满足增程式电动车的性能需求.     

A review of EVs charging: From the perspective of energy optimization,optimization approaches,and charging techniques

Introduction of electric vehicles (EVs) or plug-in electric vehicles (PEVs) in the road transportation can significantly reduce the carbon emission. Hence, the demand of EVs is likely to increase in the near future. Large penetration of EVs will also ultimately result into high loads on the existing power grids. The controlled charging of EVs can have a significant impact on the power grid load, voltage, frequency, and power losses. In this paper, we have provided a comprehensive review of various energy optimization approaches used for EVs charging. Energy optimization approaches used for EVs not only enhance the battery life but also contribute in regulating the voltage and frequency. During EVs charging, various objective functions such as supporting the renewable energy sources, minimization of the peak load, energy cost, and maximization of the aggregator profit have also been studied from optimization perspectives. The controlled and an optimized EVs charging enhances the performance of EVs batteries and conserves the energy in the system by minimizing the load and power losses. The different EVs charging approaches such as centralized and distributed suited for different objective functions have also been studied and compared with respect to various optimization approaches.     

Electric vehicles’ energy consumption measurement and estimation

Use of electric vehicles (EVs) has been viewed by many as a way to significantly reduce oil dependence, operate vehicles more efficiently, and reduce carbon emissions. Due to the potential benefits of EVs, the federal and local governments have allocated considerable funding and taken a number of legislative and regulatory steps to promote EV deployment and adoption. With this momentum, it is not difficult to see that in the near future EVs could gain a significant market penetration, particularly in densely populated urban areas with systemic air quality problems. We will soon face one of the biggest challenges: how to improve efficiency for EV transportation system? This research takes the first step in tackling this challenge by addressing a fundamental issue, i.e. how to measure and estimate EVs’ energy consumption. In detail, this paper first presents a system which can collect in-use EV data and vehicle driving data. This system then has been installed in an EV conversion vehicle built in this research as a test vehicle. Approximately 5 months of EV data have been collected and these data have been used to analyze both EV performance and driver behaviors. The analysis shows that the EV is more efficient when driving on in-city routes than driving on freeway routes. Further investigation of this particular EV driver’s route choice behavior indicates that the EV user tries to balance the trade-off between travel time and energy consumption. Although more data are needed in order to generalize this finding, this observation could be important and might bring changes to the traffic assignment for future transportation system with a significant share of EVs. Additionally, this research analyzes the relationships among the EV’s power, the vehicle’s velocity, acceleration, and the roadway grade. Based on the analysis results, this paper further proposes an analytical EV power estimation model. The evaluation results using the test vehicle show that the proposed model can successfully estimate EV’s instantaneous power and trip energy consumption. Future research will focus on applying the proposed EV power estimation model to improve EVs’ energy efficiency.