Research on Automatic Optimization of Oil Pressure Curve during Shift Process of Integrated Transmission Device in Service

doi:10.12382/bgxb.2023.1028

Abstract

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

CLC Number:

TJ810.3

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.

Figures/Tables 18

Fig.1 Change curve of clutch wear

Fig.2 Sealed loop volume domain model

Fig.3 Pressure difference changes under different wear conditions

Fig.4 Simplified model of vehicle transmission system dynamics

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

Fig.5 Schematic diagram of shift clutch piston

Fig.6 Schematic diagram of status changes during gear shifting

Fig.7 Overall program flowchart

Fig.8 Schematic diagram of torque phase state change

Fig.9 Flowchart of torque phase simulation

Fig.10 Flowchart of genetic algorithm

Fig.11 Schematic diagram of inertial phase state change

Fig.12 Flowchart of inertial phase simulation

Fig.13 Flowchart of global optimization algorithm

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

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

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

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

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