Shift Strategy Optimization for Automatic Transmission of Heavy Trucks Based on Dynamic Programming Algorithm

Abstract

The shift strategy of automatic transmission plays a vital role in the smoothness and economy of heavy-duty mining trucks. In this paper, an engine fuel consumption model, a 6 + 2 speed automatic transmission model, and a vehicle resistance model are built in MATLAB. Combined with the development of smart mining technology, the traditional two-parameter economic shift strategy is corrected based on vehicle load and road slope. The dynamic programming optimization algorithm is used to extract the best economical shift strategy under known working conditions to reduce the fuel consumption and the number of shifts. Finally, simulation experiments of the optimized shift strategy by dynamic programming in a typical mine work cycle are carried out. The simulation results show that the engine speed and output torque are maintained in a relatively stable and efficient working range by using the proposed shift strategy. Compared with the traditional two-parameter shift strategy, dynamic programming has advantages in reducing fuel consumption and shift numbers.

Optimization of Parameters of Automated Manual Transmission in Heavy Vehicles Using K-Means Algorithm and Researching of Their Effects on Fuel Consumption

“…Heng ve arkadaşları yapmış olduğumuz çalışmayla ilişkili bir çalışma yapmış ve dinamik programlama optimizasyon algoritmasını kullanarak simülasyon sonuçları sunmuştur. Yakıt tüketiminde farklılıkların meydana gelme sebebi farklı yük ve sürüş koşullarından kaynaklanmakta olup simülasyon sonuçlarının gerçek dinamik sürüş verilerine oranla doğruluğunun net olmamasıdır [20].…”

Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle

“…The authors of [20] present a clutch control strategy of the driving mode transition for P2 HEV, where a model-based coordinated control strategy is developed. A shift strategy is studied in [21] for a smooth and effective transmission, where the dynamic optimization scheme is used to extract the best economic shift strategy. A novel control method of clutch during mode transition of single shaft PHEV is introduced in [22], where an adaptive sliding mode control (ASMC) and a proportional integral (PI) observer are designed.…”