Model predictive control for hybrid vehicle ecological driving using traffic signal and road slope information

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• 作者：Kaijiang Yu (1)
  Junqi Yang (1)
  Daisuke Yamaguchi (2)
  
  1. School of Electrical Engineering and Automation ; Henan Polytechnic University ; Jiaozuo Henan ; 454000 ; China
  2. School of Information Science and Electrical Engineering ; Kyushu University ; Fukuoka Fukuoka ; 8190395 ; Japan
  
• 关键词：Ecological driving ; model predictive control ; intelligent transportation systems ; traffic signal ; optimal control
• 刊名：Journal of Control Theory and Applications
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：13
• 期：1
• 页码：17-28
• 全文大小：1,244 KB
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• 刊物类别：Computer Science
• 刊物主题：Control Structures and Microprogramming
  Chinese Library of Science
  
• 出版者：South China University of Technology and Academy of Mathematics and Systems Science, CAS
• ISSN：1993-0623

文摘

This paper presents development of a control system for ecological driving of a hybrid vehicle. Prediction using traffic signal and road slope information is considered to improve the fuel economy. It is assumed that the automobile receives traffic signal information from intelligent transportation systems (ITS). Model predictive control is used to calculate optimal vehicle control inputs using traffic signal and road slope information. The performance of the proposed method was analyzed through computer simulation results. Both the fuel economy and the driving profile are optimized using the proposed approach. It was observed that fuel economy was improved compared with driving of a typical human driving model.