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2 Bulletin of the Polish Academy of Sciences. Technical Sciences

2 2025

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Research on coordinated control of hydro-mechanical continuously variable transmission tractor mode switching based on model reference adaptation

Xu Liyou, Zhang Linkuan, Wang Dongqing, Liu Mengnan, Zhang Junjiang

Bulletin of the Polish Academy of Sciences. Technical Sciences

2025

Vol. 73, nr 3

art. no. e154064

The difference between the speed of the hydraulic speed control system and the mechanical transmission speed is too large during the mode-switching process of the equipped HMCVT tractor, which leads to the deterioration of the smoothness of the mode-switching process. The paper proposes a mode-switching coordination control strategy based on the adaptive model reference. Based on the mode-switching process, the mathematical model of HMCVT mode-switching is constructed. With the output speed of the hydraulic system as the reference model, the output speed of the mechanical transmission as the control object, and the output speed of the mechanical transmission following the output speed of the hydraulic system as the target, the design model reference adaptive controller, based on the MATLAB simulation platform for the simulation test of the control strategy is presented. The results show that when switching from H mode to HM1 mode, the maximum jerk is reduced by 70.3% and the slip friction work is reduced by 28.6%, and when switching from HM1 mode to H mode, the maximum jerk is reduced by 67% and the slip friction work is reduced by 28.9% compared to the use of the rule-based control strategy.

Research on collaborative optimization of fuel cell tractor transmission system and control strategy parameters

Xu Liyou, Chen Shixun, Zhang Junjiang, Liu Mengnan, Wu Yiwei, Yan Xianghai

Bulletin of the Polish Academy of Sciences. Technical Sciences

2025

Vol. 73, nr 2

art. no. e153232

The distributed fuel cell tractor is a new type of power tractor. The transmission system and control strategy parameters affect the energy utilization efficiency of the entire machine. There is currently no research in this area. In order to solve the problem of low energy utilization of the whole machine of distributed dual-motor-driven hydrogen fuel cell tractor, a cooperative optimization method is proposed, based on particle swarm optimization (PSO) algorithm for the parameters of the transmission system and energy-saving control strategy of distributed dual-motor-driven hydrogen fuel cell tractor. According to the tractor dynamics analysis and equivalent hydrogen consumption theory, a fuel cell tractor transmission parameter-equivalent hydrogen consumption model is established, The wheel-side transmission ratio and the upper and lower threshold values of the hydrogen fuel cell working power are taken as control variables, and the minimum equivalent hydrogen consumption is taken as the optimization goal, the optimization method is simulated and tested based on the MATLAB simulation platform. The results show that under plowing conditions, compared with the rule-based control strategy, the proposed collaborative optimization method of the fuel cell tractor transmission system and control strategy parameters can reasonably control the operating status of the fuel cell and the power battery, ensure that the fuel cell works in a high-efficiency range, enhance the overall performance of the fuel cell system, and control the power battery state of charge (SOC) to remain in a reasonable range. The tractor equivalent hydrogen consumption is reduced by 7.84%.