A clutch control strategy is proposed to improve the shift quality of power shift transmission and solve the power cycle phenomenon in the shifting process. The strategy effectively avoids the power cycle phenomenon by analyzing the change in the transmission torque and the relationship between the rotating speed of the driving and driven disks of a shifting clutch. The evaluation indexes of the shift quality of power shift transmission are sliding friction power loss, impact degree, and torque oscillation amplitude. Particle swarm optimization (PSO), combined with a genetic algorithm, is used to optimize the shift quality of power shift transmission, solving the problem in which basic PSO frequently converges to the local optimal solution. Simulations and experiments are performed on the optimization results. The simulation and test results show that the proposed control strategy can ensure that the rotating speed of the driving disk is always higher than that of the driven disk when the clutch is insliding and wearing states. Thus, this control strategy effectively avoids power cycle when shifting and improves shift quality.

提出一种离合器控制策略，以提高动力换挡变速器的换挡质量，解决换挡过程中的动力循环现象。该策略通过分析换挡离合器传动扭矩的变化和主、从盘转速的关系，有效避免了动力循环现象。动力换挡变速器换挡质量的评价指标为滑动摩擦功率损失、冲击程度和扭矩振荡幅度。粒子群优化（PSO）结合遗传算法，用于优化动力换档变速器的换档质量，解决基本PSO经常收敛于局部最优解的问题。对优化结果进行了模拟和实验。仿真和试验结果表明，所提出的控制策略能够保证离合器处于滑动和磨损状态时主动盘的转速始终高于从动盘的转速。因此，这种控制策略有效地避免了换挡时的动力循环，提高了换挡质量。