@ARTICLE{Xu_Liyou_Research_Early,
 author={Xu, Liyou and Chen, Shixun and Zhang, Junjiang and Liu, Mengnan and Wu, Yiwei and Yan, Xianghai},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e153232},
 howpublished={online},
 year={Early Access},
 abstract={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 tosolve the problem of low energy utilization of the whole machine of distributed dual-motor-driven hydrogen fuel cell tractor, a cooperative optimization method 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 is proposed. 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 efficiencyrange, enhance the overall performance of the fuel cell system, and control the power battery state of charge (SOC) to remain in areasonable range. The tractor equivalenthydrogen consumption is reduced by 7.84%.},
 type={Article},
 title={Research on collaborative optimization of fuel cell tractor transmission system and control strategy parameters},
 URL={http://czasopisma.pan.pl/Content/133832/PDF/BPASTS-04679-EA.pdf},
 doi={10.24425/bpasts.2025.153232},
 keywords={hydrogen fuel cell, electric tractor, parameter optimization, energy-saving control},
}