| 引用本文: | 闫清东,杜艺舟,刘城,魏巍.大功率履带越野车用液力变矩器循环工况构建[J].哈尔滨工业大学学报,2024,56(4):83.DOI:10.11918/202302030 |
| YAN Qingdong,DU Yizhou,LIU Cheng,WEI Wei.Construction of cyclic operating conditions for high-power tracked off-road vehicles with hydraulic torque converters[J].Journal of Harbin Institute of Technology,2024,56(4):83.DOI:10.11918/202302030 |
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| 大功率履带越野车用液力变矩器循环工况构建 |
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闫清东1,2,杜艺舟1,刘城1,3,魏巍1,4
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(1.北京理工大学 机械与车辆学院,北京 100081; 2.北京理工大学 前沿技术研究院,济南 250300; 3.车辆传动重点实验室(北京理工大学),北京 100081; 4.北京理工大学 重庆创新中心,重庆 401135)
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| 摘要: |
| 为解决液力变矩器的传统稳态试验工况同实车工况契合度不高、无法反应实车上运行状态的问题,提出了一种大功率履带越野车用液力变矩器循环工况。在某型履带车辆实车工况数据基础上,统计分析液力变矩器在实车运行中的工况特征,选取了12个统计特征参数和10个比例特征参数,利用主成分分析法对工况数据进行了降维处理,通过无监督学习中的K均值聚类算法完成了数据片段的聚类分析,使用动态规划方法整合闭锁工况,获取典型工况片段用于循环工况重构,利用汉宁窗对片段进行平滑连接。以循环工况与总体数据主要特征值平均误差、连接处转速差值总和及斜率差值总和为目标,借助模拟退火和多目标粒子群算法进行优化,构建基于实车数据、契合液力变矩器实车运行特征的循环工况。结果表明,最终所得工况由叶轮转速——时间和闭锁信号——时间组成,主要特征参数平均相对误差为2.92%,与实车数据的工况特征表现一致。本研究成果为设计液力变矩器的可靠性试验工况提供了一种新的思路和途径。 |
| 关键词: 液力变矩器 液力传动 实车数据 工况分析 循环工况 |
| DOI：10.11918/202302030 |
| 分类号:TH137.332 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51805027)；××传动系统工况体系特征研究(MKS20210002) |
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| Construction of cyclic operating conditions for high-power tracked off-road vehicles with hydraulic torque converters |
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YAN Qingdong1,2,DU Yizhou1,LIU Cheng1,3,WEI Wei1,4
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(1.School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; 2.Advanced Technology Research Institute, Beijing Institute of Technology, Jinan 250300, China; 3.Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China; 4.Chongqing Innovation Center, Beijing Institute of Technology, Chongqing 401135, China)
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| Abstract: |
| To address the issue of low comformity between traditional steady-state test conditions of hydraulic torque converters and real vehicle operating conditions, which fail to reflect the actual state of the vehicle, a cyclic operating condition for high-power tracked off-road vehicles with hydraulic torque converters is proposed. Based on real vehicle operating data from a certain type of tracked vehicle, the characteristics of torque converter in real vehicle operation are statistically analyzed. Twelve statistical feature parameters and ten ratio feature parameters are selected. The dimensionality reduction of the operating data is carried out by using principal component analysis. Clustering analysis on data segments is completed by the K-means clustering algorithm and unsupervised learning. The dynamic programming methods are used to integrate blocking conditions and typical operating condition fragments are obtained for cyclic operating condition reconstruction. The segments are smoothed by using Hanning windows. The cyclic operating conditions based on real vehicle data that align with the operational characteristics of the hydraulic torque converters during vehicle operation are constructed. The opimization is performed by simulated annealing and multi-objective particle swarm algorithm to build a cyclic condition based on the real vehicle data to fit the real vehicle operation characteristics of the torque converter, taking the average error of the main eigenvalues of the cyclic condition and the overall data, the sum of the speed difference and the slope difference at the connection as the targets. The research shows that the final condition consists of impeller speed-time and blocking signal-time. The average relative error of the main feature parameters is 2.92%, which is consistent with the performance of the real vehicle data. This research provides a new approach to design reliabile test conditions for hydraulic torque converters. |
| Key words: hydraulic torque converter hydraulic transmission vehicle data working condition analysis cyclic working condition |
