Abstract
Experiment statistical method and genetic algorithms based optimization method are used to obtain the optimum differential gear ratio for heavy truck that provides best fuel consumption when changing the working condition that affects its torque and speed range. The aim of the study is to obtain the optimum differential gear ratio with fast and accurate optimization calculation without affecting drivability characteristics of the vehicle according to certain driving cycles that represent the new working conditions of the truck. The study is carried on a mining dump truck YT3621 with 9 forward shift manual transmission. Two loading conditions, no load and 40 t, and four on road real driving cycles have been discussed. The truck powertrain is modeled using GT-drive, and DOE -post processing tool of the GT-suite is used for DOE analysis and genetic algorithm optimization.
| Original language | English |
|---|---|
| Pages (from-to) | 65-73 |
| Number of pages | 9 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2015 |
Keywords
- Design of experiment
- Differential gear ratio
- Fuel consumption
- Genetic algorithm
- Heavy trucks
- Optimization