Fuel Optimized Predictive Following in Low Speed Conditions

作者: Johan Jonsson , Zandra Jansson

DOI: 10.1016/S1474-6670(17)30331-2

关键词:

摘要: Abstract In the dense traffic of today a jam is common occurrence. For driver this kind Stop and Go (S&G) situation both tiring uncomfortable. Therefore an automatic support system such as cruise control desired to lessen driver's workload. The current systems, with task only keeping predefined velocity, are becoming less meaningful in situation. These systems mainly aimed for use on roads where speed high it important have quite large safety distance between following preceding car. An issue car manufacturing reduction fuel consumption, conditions well S&G driving. This paper presents special method suited driving which has aim reducing consumption. controller based theory Model Predictive Control using Dynamic Programming solve optimization problem. simulations show that able keep vehicle ahead at same time lowering consumption obtained.

参考文章(5)
Rolf Findeisen, Frank Allgöwer, An Introduction to Nonlinear Model Predictive Control ,(2002)
Uwe Kiencke, Automotive Control Systems Encyclopedia of Physical Science and Technology (Third Edition). pp. 839- 855 ,(2005) , 10.1016/B0-12-227410-5/00048-X
Jan Marian Maciejowski, Predictive Control With Constraints ,(2001)
Michael Back, Matthias Simons, Frank Kirschaum, Volker Krebs, PREDICTIVE CONTROL OF DRIVETRAINS IFAC Proceedings Volumes. ,vol. 35, pp. 241- 246 ,(2002) , 10.3182/20020721-6-ES-1901.01508
Arega W. Yohannes, Dynamic Programming ,(1957)