Gear Shift Optimization for Off-road Construction Vehicles
Author(s) -
Jiali Fu,
Gianantonio Bortolin
Publication year - 2012
Publication title -
procedia - social and behavioral sciences
Language(s) - English
Resource type - Journals
ISSN - 1877-0428
DOI - 10.1016/j.sbspro.2012.09.814
Subject(s) - fuel efficiency , sequence (biology) , automotive engineering , dynamic programming , optimal control , computer science , control (management) , time sequence , model predictive control , engineering , mathematical optimization , algorithm , mathematics , artificial intelligence , genetics , biology
This paper explores the possibility of using recorded road slope data in order to reduce fuel consumption for off-road construction vehicles such as articulated haulers. An optimal control algorithm based on model predictive control and dynamic programming is formulated to find an optimal gear shift sequence. Computer simulation shows that both fuel consumption and travel time can be reduced simultaneously. In addition, the optimal gear shift sequence resembles the behavior of an experienced driver
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom