Using Design of Experiment and Genetic Algorithm to Obtain the Optimum Gear Shifting Strategy for a Real Driving Cycles


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Design of Experiment statistical method and Genetic Algorithms based optimization method are used to obtain the optimum gear shifting strategy that driver can follow to provide best fuel consumption without affecting drivability characteristics of the vehicle according to certain driving cycle. The study is carried on a Mining Dump Truck YT3621 with 9 forward shifts manual transmission. Three loading conditions, no load, 20 ton and 40 ton have been discussed. The truck powertrain is modeled using GT-Drive, and DOE –Post processing tool of the GT-Suit is used for DOE analysis and Genetic Algorithm optimization. Six different real on road driving cycles are used to study the effect of gear shifting strategy on fuel consumption.



Edited by:

Jing Guo




A. Ahmed et al., "Using Design of Experiment and Genetic Algorithm to Obtain the Optimum Gear Shifting Strategy for a Real Driving Cycles", Applied Mechanics and Materials, Vol. 224, pp. 497-503, 2012

Online since:

November 2012




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