服役状态下履带车辆综合传动装置换挡过程油压曲线自动寻优

doi:10.12382/bgxb.2023.1028

摘要/Abstract

摘要：

履带车辆在服役状态下面临复杂恶劣的行驶环境,作为其重要组成部分的综合传动装置液压操纵系统的关键参数会出现性能退化,进而导致换挡品质大幅恶化。为改善综合传动装置在不同服役状态下的换挡品质,研究服役状态下液压操纵系统退化机理,建立包括动力源模型、行星变速器统一动力学模型和负载模型的换挡过程模型。根据换挡品质评价函数,利用遗传算法及全局寻优算法对综合传动装置换挡过程油压曲线进行优化。建立换挡油压曲线优化仿真实验平台,开展车辆不同服役状态下换挡油压曲线优化实验。研究结果表明,换挡油压曲线优化方法能有效改善车辆不同服役状态下的换挡品质。

关键词: 履带车辆, 液力自动变速器, 换挡品质, 遗传算法

Abstract:

Tracked vehicles face complex and harsh driving environments in service. The key performance parameters of hydraulic control system, as an important component of the integrated transmission device, will undergo degradation, leading to a significant deterioration in shifting quality. In order to improve the shifting quality of the integrated transmission device under different service conditions, the degradation mechanism of the hydraulic control system under service conditions is studied. Then, a shifting process model including power source model, planetary transmission unified dynamic model, and load model is established. According to the shift quality evaluation function, the genetic algorithm and global optimization algorithm are used to optimize the oil pressure curve during the shift process of the integrated transmission device. A simulation experimental platform is established for optimizing and testing the shift oil pressure curves of vehicles under different service conditions. The results indicate that the optimization method for shifting oil pressure curve can effectively improve the shifting quality of vehicles under different service conditions.

Key words: tracked vehicle, automatic hydraulic transmission, shift quality, genetic algorithm

中图分类号:

TJ810.3

任校辰, 彭建鑫, 王成, 宫燃, 胡宇辉. 服役状态下履带车辆综合传动装置换挡过程油压曲线自动寻优[J]. 兵工学报, 2024, 45(12): 4475-4487.

REN Xiaochen, PENG Jianxin, WANG Cheng, GONG Ran, HU Yuhui. Research on Automatic Optimization of Oil Pressure Curve during Shift Process of Integrated Transmission Device in Service[J]. Acta Armamentarii, 2024, 45(12): 4475-4487.

图/表 18

图1 离合器磨损量变化

Fig.1 Change curve of clutch wear

图2 密封环流体域模型

Fig.2 Sealed loop volume domain model

图3 不同磨损工况下压差变化

Fig.3 Pressure difference changes under different wear conditions

图4 整车传动系统动力学简化模型

Fig.4 Simplified model of vehicle transmission system dynamics

表1 挡位逻辑表

Table 1 List of shift logic

挡位	C1	C2	C3	CL	CH
1挡	结合			结合
2挡		结合		结合
3挡			结合	结合
4挡	结合				结合
5挡		结合			结合
6挡			结合		结合

图5 换挡离合器活塞示意图

Fig.5 Schematic diagram of shift clutch piston

图6 换挡过程状态变化示意图

Fig.6 Schematic diagram of status changes during gear shifting

图7 程序总体流程

Fig.7 Overall program flowchart

图8 转矩相状态变化示意图

Fig.8 Schematic diagram of torque phase state change

图9 转矩相仿真流程

Fig.9 Flowchart of torque phase simulation

图10 遗传算法流程

Fig.10 Flowchart of genetic algorithm

图11 惯性相状态变化示意图

Fig.11 Schematic diagram of inertial phase state change

图12 惯性相仿真流程

Fig.12 Flowchart of inertial phase simulation

图13 全局寻优算法流程

Fig.13 Flowchart of global optimization algorithm

表2 未服役车辆关键参数表

Table 2 Key parameters of unserviced vehicles

关键参数	数值
摩擦系数	0.106
C1离合器磨损量/mm	0
CH离合器磨损量/mm	0
C3离合器磨损量/mm	0
CL离合器磨损量/mm	0
密封环磨损量/mm	0

图14 未服役车辆优化前后结果对比

Fig.14 Comparison of results before and after optimization of unserviced vehicle

表3 长时间服役车辆关键参数表

Table 3 Key parameters of long term service vehicles

关键参数	数值
摩擦系数	0.13
C1离合器磨损量/mm	6.0
CH离合器磨损量/mm	2.69
C3离合器磨损量/mm	0.4
CL离合器磨损量/mm	1.54
密封环磨损量/mm	2.0

图15 长时间服役车辆优化前后结果对比

Fig.15 Comparison of results before and after optimization of vehicle in long-term service

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