讲座题目： Electric Vehicles’ Energy Consumption Measurement, Estimation & Optimization
演讲嘉宾：吴新开，博士
时间：2014年12月26日上午10：00-11:30
地点：交通学院会议室501室
摘要： Electrification of passenger vehicles has been viewed by many as a way to significantly reduce carbon emissions, operate vehicles more efficiently, and reduce oil dependence. It is not difficult to see that in the near future EVs will 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 the efficiency for the entire EV system? This paper first presents a system which can collect in-use EV data and vehicle driving data. This system has been installed in an EV conversion vehicle built in this research as a test vehicle, and approximately five months of EV data have been collected. The data analysis shows that the EV is more efficient when driving on in-city routes than driving on freeway routes. Further investigation of this EV driver’s route choice behavior indicates that the EV user tries to balance the trade-off between travel time and energy consumption. 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. Furthermore, this research proposes an analytical model which determines a time-dependent optimal velocity profile for an EV to minimize the electricity usage along a chosen route by systematically considering road characteristics and real-time traffic conditions including the presence of intersection queues in both temporal and spatial dimensions, which has been ignored in most traditional speed control models. The testing using the field data collected from a six-intersection signalized arterial corridor shows that the optimal velocity profile can significantly save energy for an EV and the computational efficiency of the proposed approximation model is suitable for real-time applications.
简介：吴新开博士，北京航空航天大学交通科学与工程学院交通运输工程系教授，博士生导师。2010年毕业于美国明尼苏达大学土木工程系，获土木工程博士学位； 2013年12月起任北京航空航天大学教授。主要研究方向包括城市交通规划，控制，与管理，交通流理论研究，交通安全，智能交通系统应用，及交通系统的可持续发展。已在Transportation Research Part B, Part C, 等期刊上发表多篇文章，并持有美国专利一项。 

有意参加的老师、学生请于2014年12月25日晚上12:00之前发邮件至liubinghe@buaa.edu.cn报名