摘要
煤矿井下防爆车辆在长距离、大坡度工况下的能效与热稳定性问题,严重制约了其无人化发展。基于线控底盘架构,深入探索了无人驾驶防爆车辆的热管理策略,提出一种多物理场耦合的瞬态热力学建模方法,并构建了基于闭式回路的串联式液压混合动力系统架构。该架构集成蓄能器协同控制与双向能量转化机制,以提升制动能量回收效率与峰值功率输出能力。同时,建立基于油液流向识别的动态温度边界模型,有效克服传统模型在瞬态响应中的时间滞后问题。通过硬件在环试验验证,揭示了液压油温升过程与系统效率之间的非线性关系。最终测试结果显示,液压泵、马达及蓄能器等所有关键部件的温度预测误差均未超过±3.5℃,模型在系统温度水平与变化趋势预测上有较高精度,为井下无轨辅助运输装备的热管理优化提供了理论模型与解决方案。
The problem of energy efficiency and thermal stability of underground coal mine explosion-proof vehicles under long-distance and large slope conditions has seriously restricted its unmanned development. Based on the chassis by-wire architecture, this thesis explores the thermal management strategy of unmanned development explosion-proof vehicles. A transient thermodynamic modeling method of multi physical field coupling is proposed, and the series hydraulic hybrid power system architecture based on closed loop is constructed. The architecture integrates the accumulator cooperative control and bidirectional energy conversion mechanism to improve the braking energy recovery efficiency and peak power output capacity. At the same time, a dynamic temperature boundary model based on oil flow direction identification is established to effectively overcome the time lag problem of the traditional model in transient response. Through the hardware in the loop experiment, the nonlinear relationship between the hydraulic oil temperature rise process and the system efficiency is revealed. The final test results show that the temperature prediction error of all key components such as hydraulic pump, motor and accumulator does not exceed ±3.5 ℃, and the model shows high accuracy in the prediction of system temperature level and change trend. This thesis provides a theoretical model and solution for the thermal management optimization of underground trackless auxiliary transportation equipment.
作者
宋岩
梁玉芳
SONG Yan;LIANG Yufang(National Engineering Laboratory for Coal Mining Machinery,Taiyuan,Shanxi 030006;CCTEG Taiyuan Research Institute Co.,Ltd.,Taiyuan,Shanxi 030006;Shanxi Key Laboratory of Comprehensive Drivage and Shortwall Mining Equipment for Coal Mine,Taiyuan,Shanxi 030006)
出处
《液压与气动》
北大核心
2025年第10期1-11,共11页
Chinese Hydraulics & Pneumatics
基金
国家重点研发计划(2022YFB4703602)
中央引导地方科技发展资金(YDZJSX2025B011)。
关键词
液压混合动力系统
热力学建模
无人驾驶
煤矿井下
能量回收效率
hydraulic hybrid power system
thermodynamic modeling
unmanned driving
underground coal mine
energy recovery efficiency
