Straight Driving Transmission Efficiency Prediction of Integrated Transmission under Variable Working Conditions Based on Relevance Vector Machine with Intelligent Optimization

doi:10.12382/bgxb.2022.0728

Abstract

Abstract:

Transmission efficiency is one of the important indicators to characterize the performance of integrated transmission devices of tracked vehicles. However, due to the complex power transmission paths inside the integrated transmission device and external working conditions, it is difficult to establish the transmission efficiency prediction model, and thus the prediction accuracy of transmission efficiency cannot be guaranteed. An approach is proposed for transmission efficiency prediction under multiple working conditions with the straight driving of the integrated transmission device. First, the statistical features are obtained by performing statistical analysis of the transmission efficiency data of 75 integrated transmission devices under different working conditions. Then, the relevance vector machine (RVM) with intelligent optimization is employed for modeling transmission efficiency prediction based on such statistical features. Further, the transmission efficiency of the integrated transmission devices is predicted under different working conditions. The results show that the mean absolute error (MAE) and the root mean square error (RMSE) of the predictions under different working conditions are controlled to within 0.01 and 0.02, respectively, which could verify the feasibility and correctness of the approach.

Key words: integrated transmission, straight driving, transmission efficiency prediction, variable working condition, relevance vector machine

CLC Number:

U463.22

ZHANG Jinbao, GAI Jiangtao, AN Yuanyuan, GUI Lin, ZHU Bingxian, ZOU Tiangang. Straight Driving Transmission Efficiency Prediction of Integrated Transmission under Variable Working Conditions Based on Relevance Vector Machine with Intelligent Optimization[J]. Acta Armamentarii, 2023, 44(1): 270-278.

Figures/Tables 12

Fig.1 Schematic diagram of an integrated transmission device

Fig.2 Test bench for transmission efficiency of an integrated transmission device

Table 1 Test schemes with multiple gear positions

速度/ (r·min^-1)	挡位
速度/ (r·min^-1)	F1	F2	F3	F4	F5	F6	R1	R2
1600	75	75	75	75	75	75	75	75
1800	75	75	75	75	75	75	75	75
2000	75	75	75	75	75	75	75	75
2200	75	75	75	75	75	75	75	75

Fig.3 Statistical variation of transmission efficiency under different conditions

Fig.4 Q-Q plot of the transmission efficiency of each gear at 2200r/min and full power load

Fig.5 Kurtosis values of transmission efficiency under various conditions

Fig.6 Probabilistic correlation plot of the transmission efficiency and the input torque of each gearat 2200r/min and full power load

Table 2 Input and output of RVM with intelligent optimization

输入	测试变量设定值	输出
挡位	F1~F6;R1~R2
转速	1600、1800、2000、2200r/min	传递
工况	液力0(F1、F2和R1~R2)、机械1(F3~F6)	效率
负载(输入扭矩)	50%全功率、全功率

Fig.7 Convergence process of particle swarm optimization

Fig.8 Fitting errors of training samples and prediction errors of test samples

Fig.9 Prediction results of straight driving transmission efficiency of the test samples under variable working conditions

Fig.10 Transmission efficiency trend prediction with different speeds and the corresponding input torques

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