学术报告公告
报告题目 |
Advanced Methods in Electric Vehicles: Longitudinal Motion Estimation and Eco-driving |
报告人 |
张营 |
指导教师 |
张英杰教授 |
|
|
学科专业 |
计算机科学与技术 |
学院 |
信息科学与工程学院 |
报告地点 |
湖南大学6舍一楼108会议室 |
报告时间 |
2019年10月29日 下午3:00 |
报告人简介:张营,湖南大学信息科学与工程学院16级博士生,湖南大学工业节能控制与工程评估研究所成员,导师为张英杰教授。IEEE会员,CCF会员,Journal of Electrical and Electronic Engineering编委,IEEE Transactions on Industrial Informatics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Transportation Electrification,IEEE Transactions on Intelligent Vehicles,IEEE Access等期刊审稿人。2018年10月到2019年10月赴美国密歇根大学联合培养一年,师从Yi Lu Murphey教授(IEEE Fellow)。博士期间,主持国家建设高水平大学公派研究生项目,湖南省研究生创新项目(已结题)各一项;参与国家基金委中德国际合作访问项目,国家自然科学基金,湖南省自然科学基金,国家重点实验室开放基金,企业产学研合作研发项目9项。攻读博士学位期间,共发表SCI长文7篇,其中IEEE Transactions系列 5篇, 总影响因子>30。
报告摘要: Electric vehicles are seen as the most promising alternative transport solving the air pollution problem due to transportation. Thanks to the advantage of zero emissions, the technologies for electric vehicles have received deep investigation in recent researches. However, up to now, the electric vehicles are still hard to be widely accepted. Also, even in the very near future, it is still difficult for the electric vehicles to completely replace the fuel vehicles. The main factor that hinders the application of the electric vehicles is the short driving range problem. In this talk, he will discuss the advanced methods in extending the electric vehicles’ driving range. This talk includes two sub-topics. The first one aims to discuss the longitudinal motion estimation of the driving state that affecting the energy consumption. Based on the estimation results, several solutions are discussed for improving the energy efficiency during the driving process. In the second topic, the experiences during the visit in the United States are shared with several remarkable moments.