PDF(Pubmed)
Abstract：
In this study, a vehicle model was developed to examine the performance of a gasoline-powered vehicle and a vehicle with a serial-hybrid-drive system. An extra-downsized gasoline hybrid engine was used as a range extender in the vehicle model. Utilizing OBD II output to collect data, engine data for a sample vehicle was established with a neural network. Vehicle models were subsequently built using Matlab Simulink to complete the study. A comparison was made between the vehicle equipped with a serial-hybrid-drive system and the one with a gasoline engine-powered system regarding their fuel consumption and CO2 emissions for NEDC (New European Drive Cycle) and WLTC (Worldwide Harmonized Light Vehicles Test Cycle) Class 2 cruise cycles. Based on two driving cycles with different speed-time profiles, the results demonstrate the significant impact that powertrains can have on a vehicle\'s efficiency and performance, particularly during the transition from NEDC to WLTC which takes into account higher speeds, dynamic driving cycles, and factors such as air conditioning usage. Based on the findings, there was a 3.3% rise in CO2 emissions during an NEDC driving cycle with an additional downsized serial-hybrid-drive system. However, the opposite occurred during the WLTC driving cycle, resulting in a 1.7% decline in the serial-hybrid vehicle\'s fuel consumption and emissions performance.
摘要：
在这项研究中,开发了一种车辆模型来检查汽油动力车辆和具有串联混合动力驱动系统的车辆的性能。在车辆模型中使用了超大尺寸的汽油混合动力发动机作为增程器。利用OBDII输出收集数据，用神经网络建立了样本车辆的发动机数据。随后使用MatlabSimulink构建车辆模型以完成研究。在NEDC（新欧洲行驶循环）和WLTC（全球协调轻型车辆测试循环）2级巡航循环中，对配备串联混合动力驱动系统的车辆和配备汽油发动机动力系统的车辆的油耗和CO2排放进行了比较。基于具有不同速度-时间曲线的两个行驶周期，结果表明，动力总成可能对车辆的效率和性能产生重大影响，特别是在从NEDC到WLTC的过渡期间，考虑到更高的速度，动态行驶循环,以及空调使用等因素。根据调查结果,在NEDC行驶周期中，使用额外的缩小尺寸的串联混合动力驱动系统，CO2排放量增加了3.3％。然而,相反的情况发生在WLTC驾驶循环期间，导致串联混合动力汽车的油耗和排放性能下降1.7%。
