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北京理工大学 机械与车辆学院,北京 100081
中国北方车辆研究所,北京 100072
重庆大学 高端装备机械传动全国重点实验室,重庆 400044
Received:17 January 2025,
Online First:25 December 2025,
Published:28 February 2026
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ZHANG Yudong, YU Liang, XU Jin, et al. Dynamic Characteristics of Large-order Shifting of Electric Driven Tracked Vehicles[J]. Acta Armamentarii, 2026, 47(2): 250061.
ZHANG Yudong, YU Liang, XU Jin, et al. Dynamic Characteristics of Large-order Shifting of Electric Driven Tracked Vehicles[J]. Acta Armamentarii, 2026, 47(2): 250061. DOI: 10.12382/bgxb.2025.0061.
电驱动系统的瞬时高扭矩输出特性推动了大阶比变速机构的应用。虽然大阶比变速机构能更好地匹配电机高效工作区间,但产生了更大的换挡速差和转矩波动,使得换挡控制问题日益凸显。因此,本文基于Modelica语言建立了电驱动履带车辆传动系统的大阶比换挡动力学模型,以降低摩擦功耗、动载荷以及车速损失为目标,研究了动力换挡过程中驱动电机转速和转矩的控制逻辑。结果表明:电机的调速能力是限制动力换挡过程中换挡品质的关键因素;充油曲线的时序和斜率参数对综合评价结果有显著影响,适当的充油时序和斜率既可有效降低滑摩功率,还能减少传动系统的动载荷和车速损失;在换挡控制策略中,需要根据不同工况设计时序和油压参数,以实现最佳换挡性能。
The instantaneous high-torque output characteristic of electric drive system has promoted the application of large-order shifting transmission. Although the large-order shifting transmission can better match the efficient working range of the motor
it generates greater speed difference and torque fluctuation during shifting
making the shifting control problem increasingly prominent. Therefore
a large-order shifting dynamic model for the transmission of electric drive tracked vehicles is established via Modelica language. The control logic of the drive motor speed and torque during the power shift process is studied for reducing the friction power consumption
dynamic load and vehicle speed loss. The results show that the speed regulation ability of motor is a key factor restricting the shifting quality during the power shifting process. The timing and slope parameters of the fuel filling curve have a significant impact on the comprehensive evaluation results. Appropriate fuel filling timing and slope can effectively reduce the sliding friction power
and also decrease the dynamic load and vehicle speed loss. Therefore
it is necessary to design the timing sequence and fuel pressure parameters according to different working conditions in order to achieve the best shift performance.
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