Implementation of a Velocity Optimization Strategy to Trade off Transport Time and Fuel Efficiency for Hybrid Mining Trucks
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20181828
- Paper/Info type
- AVEC
No.ThE1-5
- Pages
- 1-6(Total 6 p)
- Date of publication
- Jul 2018
- Publisher
- Others, Unknown
- Language
- English
- Event
- AVEC '18
Detailed Information
| Category(E) | Hybrid EV Control I |
|---|---|
| Author(E) | 1) Weiwei Yang |
| Abstract(J) | 状態変数に車速とバッテリ充電量を採用し，2スケールの動的計画法を適用して，最適な速度軌道および出力分布を計算している．シミュレーション結果は，既知の走行速度サイクルの結果と比較して，速度最適化手法が，同じ輸送時間で燃費を27.87％向上させることができ，同じ燃料消費で輸送時間を42.82％短縮することができることを示している． Translation |
| Abstract(E) | Given that both fuel consumption and transport time influence transport costs of mining trucks, a velocity optimization strategy based on preview route information is proposed and illustrated on a series hybrid electric mining truck in this paper. The vehicle speed and battery state-of-charge (SOC) are adopted as state variables. Then two-scale dynamic programming is applied to calculate optimum velocity trajectory and power distribution. Simulation results reveal that the weighting coefficients of transport time can be optimally distributed for the different design demands. Compared to the results under known driving speed cycle, the proposed velocity optimization strategy can improve fuel economy by 27.87% under the guarantee of the same transport time, or transport time can be reduced by 42.82% with the same fuel consumption. Therefore, the proposed velocity optimization strategy can reduce transport costs for mining enterprises significantly |
