An optimal gear-shifting strategy for heavy trucks with trade-off study between trip time and fuel economy


          

刊名：International Journal of Heavy Vehicle Systems (IJHVS)
作者：Zhao, X. X.（Univ Sci & Technol, Beijing Sch Mech Engn, Beijing 100083, Peoples R China）
Ing, A. H.（Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada）
Azad, N. L.（Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada）
McPhee, J.（Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada）
刊号：873LD070
ISSN：1744-232X
出版年：2015
年卷期：2015, vol.22, no.4
页码：356-374
总页数：19
分类号：U46
关键词：dynamic programming；heavy mining truck；gear-shifting strategy；Pareto curve
参考中译：
语种：eng
文摘：We show how the fuel efficiency of heavy mining trucks can be improved by optimising the gear-shifting strategy. Using characteristic tests of the diesel engine, a high-fidelity model of a mining truck was built in MapleSim and a consistent low-order model was developed in Matlab. Dynamic programming was used to optimise the low-order model of the specialised off-road 30-tonne truck over a fixed route in a mining area. There were two competing objectives: fuel use and trip time, which were combined in a single objective function using weighting coefficients. A Pareto curve was created to analyse the effect of the weights on the fuel use and trip time. Applying the control strategy obtained from dynamic programming to the high-fidelity model, it is estimated that 40,000 L of fuel can be saved annually for a mine that produces 110 kilotonnes of coal per day.



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