Adaptive Prefilling Method Based on Driving Intention Recognition for Electric Tracked Vehicles

The high torque requirements of electric tracked vehicles result in larger shift clutch cylinders, which extend the oil filling time. This increases the duration of power interruption during gear shifting, reducing the dynamic performance of the vehicle. To address this issue, this paper proposes an adaptive prefilling method based on driving intention. Before the gear shifting process begins, the clearance between the clutch piston and the friction plates is reduced in advance, thereby shortening the shifting time. Driving intention serves as a key reference for control in the prefilling phase. The controller adjusts the piston displacement during the prefilling phase according to the behavior of driver. In addition, to prevent premature clutch engagement caused by excessive oil filling, a robust tracking controller utilizing position feedback is designed to precisely regulate the clutch piston position. Simulation results indicate that with the proposed adaptive prefilling method, the power interruption time during shifting is reduced by $\mathbf{16.8 \%}$, and the clutch engagement time is decreased by 52.5%.