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电动拖拉机田间巡航作业驱动转矩管理模型
引用本文:武仲斌,谢斌,迟瑞娟,任志勇,杜岳峰,李臻.电动拖拉机田间巡航作业驱动转矩管理模型[J].农业工程学报,2019,35(4):88-98.
作者姓名:武仲斌  谢斌  迟瑞娟  任志勇  杜岳峰  李臻
作者单位:中国农业大学工学院;中国农业大学现代农业装备优化设计北京市重点实验室;中国煤炭科工集团太原研究院有限公司
基金项目:国家重点研发计划资助项目(2016YFD0701001)
摘    要:针对电动拖拉机整机控制中与驱动转矩相关且通用性较强的功能环节,在驱动系统上层搭建了一种通用型的驱动转矩管理控制模型。以满足田间作业需求、提升作业质量为目标,将输入信号标定为期望作业车速,并进一步转化为电机目标转速。根据实际转速与目标转速的偏差,计算电机目标输出转矩,以使电机需求功率与作业负载相平衡。进一步考虑巡航作业过程中驱动转矩变化引起的整机冲击度、当前转速下电机可用最大转矩以及驱动系统过温、电池放电欠压的影响,依次搭建了针对目标输出转矩的斜坡限制、基于转速的转矩容量限制和极端工况下的比例减载限制模型。搭建了包括电池、驱动电机以及整机纵向动力学在内的电动拖拉机模型。基于驱动转矩管理模型设计了目标控制器,并搭建了dSPACE硬件在环测试平台,分别对转矩管理模型中的各个参数进行了标定,并对牵引作业工况下驱动系统的输出特性进行了测试,结果表明:在牵引作业时,实际车速可平稳跟踪期望作业车速,跟踪误差主要取决于驱动轮的滑转程度,当期望车速改变时,实际车速按标定斜率向期望值平缓过渡;作业过程中,模型输出转矩始终处于电机转矩容量范围以内,且转矩变化率不超过35N·m/s,与未经斜坡限制处理的原始目标转矩相比,转矩变化趋于缓和;当电池输出电压低于欠压报警阈值时,驱动转矩管理模型根据电池欠压程度将模型输出转矩比例缩减10%~27%,确保电池输出电压不低于停机阈值。所搭建的驱动转矩管理模型可为电动拖拉机整机控制器的设计提供技术参考。

关 键 词:车辆  控制  模型  电动拖拉机  驱动系统  转矩管理  标定  硬件在环
收稿时间:2018/10/14 0:00:00
修稿时间:2019/2/11 0:00:00

Driving torque management model for electric tractor in field cruise condition
Wu Zhongbin,Xie Bin,Chi Ruijuan,Ren Zhiyong,Du Yuefeng and Li Zhen.Driving torque management model for electric tractor in field cruise condition[J].Transactions of the Chinese Society of Agricultural Engineering,2019,35(4):88-98.
Authors:Wu Zhongbin  Xie Bin  Chi Ruijuan  Ren Zhiyong  Du Yuefeng and Li Zhen
Affiliation:1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;,1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;,1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;,3. Taiyuan Institute of China Coal Technology and Engineering Group, Taiyuan 030006, China;,1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China; and 1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;
Abstract:Researchers have developed various design methods for driving systems and control strategies for electric tractors, as well as performance analysis of key components. However, little attention has been paid to the precise management of torque requests in the top layer in consideration of factors such as the power output restrictions at motor operating temperature limits, battery state-of-charge limits, time-based torque ramp limits, and the speed-dependent torque capability of the motor. In this paper, we developed a driving torque management model on the upper layer of driving systems for electric tractors based on the common functional blocks related to the decision of target torque in electric tractor control. In order to meet the field operation requirements and improve the quality of work, the input signals were calibrated to the desired cruise speed and further converted to the motor target revolving speed. According to the deviation between the actual revolving speed and the target revolving speed, the motor target output torque was calculated to balance the required motor power with the work load. Further considering the impacts on the electric tractor caused by the torque fluctuations during the cruise operation, the motor maximum torque available at the current revolving speed, the influence of the over-temperature of the driving system and the over-discharge of the battery, models of time-based ramp limitation of target torque, motor''s speed-based maximum torque limitation and load reduction protection under extreme conditions were constructed in turn. The electric tractor model consisting of tractor dynamic model, battery model, and electric motor model was also built. A tractor control unit to support the torque demand management model was designed, and a hardware-in-the-loop real-time test platform was built with dSPACE. The parameters in the torque management model were calibrated separately, and the output characteristics of the drive system under traction conditions were tested. The results showed that the actual vehicle speed tracked the expected cruising speed steadily during the traction operation. The tracking error mainly depended on the degree of slip of the driving wheels. When the expected speed changed, the actual vehicle speed smoothly transited to the expected value according to the calibrated climbing rate. During the operation, the model output torque always stayed within the motor torque capacity, and kept a small change rate of not more than 35 N·m/s, which led to more gentle variations of motor torque compared with the original without ramp limitations. When the battery voltage dropped below the over-discharge threshold, the management model scaled down the target torque in time by 10%-27% according to the degree of undervoltage, which therefore kept the battery voltage always above the safe level. The driving torque demand management model built in this paper can provide a technical reference for tractor control unit designs of electric tractors.
Keywords:vehicles  control  models  electric tractors  driving systems  torque management  calibration  hardware-in-loop
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