Journal of Shandong University(Engineering Science) ›› 2015, Vol. 45 ›› Issue (5): 82-87.doi: 10.6040/j.issn.1672-3961.0.2015.095

Previous Articles    

Construction and analysis on typical working cycle of wheel loader

MA Xiangming, SUN Xia, ZHANG Qiang*   

  1. School of Energy and Power Engineering, Shandong University, Jinan 250061, Shandong, China
  • Published:2020-05-26

Abstract: In order to obtain more precise operating parameters of typical working cycle and simulate the fuel consumption, a constructing method of typical working cycle for wheel loader was proposed based on kinetic sequences and operating characteristics. Thirteen characteristic parameters, including speed-torque area etc., were defined to evaluate the variation of operating parameters during working process. Meanwhile, the kinetic sequences were classified into five clusters by the adoption of the Principal Component Analysis and fuzzy C-means algorithm. Afterwards, the sequences with minimum Euclidean distance in each cluster were selected to constitute the typical working cycle. The results showed that parameters of the test condition and the typical working cycle, such as acceleration and speed, had the similar distribution; fuel consumption based on the typical working cycle simulation was 0.176 L with an error of 4.7%, which was within the scope of the engineering allowable error. The proposed method could be effectively employed to process and analyze the test data of wheel loader and construct the typical working cycle, which was also greatly helpful to further study the fuel economy of loader working cycle.

Key words: loader, eigenvalue, principal component analysis, cluster analysis, typical working cycle

CLC Number: 

  • TK427
[1] ANDRE M, HICKMAN J A, HASSEL D, et al. Driving cycles for emission measurements under european conditions[C] //SAE 1995 International Congress & Exposition. Detroit, USA:SAE, 950926.
[2] 石琴, 仇多洋, 周洁瑜. 基于组合聚类法的行驶工况构建与精度分析[J]. 汽车工程, 2012, 34(2):164-169. SHI Qin, QIU Duoyang, ZHOU Jieyu. Driving cycle construction and accuracy analysis based on combined clustering technique[J]. Automotive Engineering, 2012, 34(2):164-169.
[3] 姜平,石琴, 陈无畏. 基于马尔科夫的城市道路行驶工况构建方法[J]. 农业机械学报, 2009, 40(11):26-30. JIANG Ping, SHI Qin, CHEN Wuwei. Driving cycle construction methodology of city road based on markov process[J]. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(11):26-30.
[4] 石琴, 郑与波, 姜平. 基于运动学片段的城市道路行驶工况的研究[J]. 汽车工程, 2011, 33(3):256-261. SHI Qin, ZHENG Yubo, JIANG Ping. A research on driving cycle of city roads based on microtrips[J]. Automotive Engineering, 2011, 33(3):256-261.
[5] 王楠楠. 城市道路行驶工况构建及油耗研究[D]. 合肥:合肥工业大学, 2012. WANG Nannan. Construction of the urban road driving cycle and research of the fuel consumption[D]. Hefei:Hefei University of Technology, 2012.
[6] EISINGER D S, NIEMEIER D A, STOECHENIUS T, et al. Collecting driving data to support mobile source emissions estimation[J]. Journal of Transportation Engineering, 2006, 132(11):845-854.
[7] LIN J, NIEMEIER D A. Estimating regional air quality vehicle emission inventories:constructing robust driving cycles[J]. Transportation Science, 2003, 37(3):330-346.
[8] 常绿, 王国强, 张英爽. 基于ADVISOR软件的液力变矩器仿真模块的开发[J]. 系统仿真学报, 2006, 18(12):3396-3398. CHANG Lyu, WANG Guoqiang, ZHANG Yingshuang. Development of simulation module for performance of torque-converter based on advisor software[J]. Journal of System Simulation, 2006, 18(12):3396-3398.
[9] 常绿, 王国强, 李春然, 等. 装载机性能仿真模块开发[J]. 农业机械学报, 2007, 38(1):195-197. CHANG Lü, WANG Guoqiang, LI Chunran, et al. Development of loader performance simulation module[J]. Transactions of the Chinese Society for Agricultural Machinery, 2007, 38(1):195-197.
[10] MARKUS S, OLIVER K, JUERGEN W. Green wheel loader-operating strategy of an energy efficient hybrid drive train[C] //SAE 2014 Commercial Vehicle Engineering Congress. Detroit, USA:SAE, 2014-01-2400.
[11] KWANG S O, SEUNGJAE Y, HAKGU K, et al. Development of wheel loader dynamic simulation model[C] //SAE 2013 World Congress & Exhibition. Detroit, USA:SAE, 2013-01-1194.
[12] 杨瑜, 陈波宁, 高波. 基于行程分析法的行驶工况的构建研究[J]. 现代车用动力, 2013, 150(2):24-27. YANG Yu, CHEN Boning, GAO Bo. Research of driving cycle data construction based on travelling analysis method[J]. Modern Vehicle Power, 2013, 150(2):24-27.
[13] 张英爽. 装载机传动系载荷谱的测取与应用研究[D]. 长春:吉林大学, 2014. ZHANG Yingshuang. Research on the load spectra acquisition and application of loader powertrain[D]. Changchun:Jilin University, 2014.
[14] 徐礼超, 葛如海, 常绿. 典型工况下装载机液压系统载荷时间历程的制取方法[J]. 农业工程学报, 2012, 28(6):57-62. XU Lichao, GE Ruhai, CHANG Lyu. Acquisition method of load time course of loader hydraulic system under typical operating conditions[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(6):57-62.
[15] 常绿, 徐礼超, 刘永臣. 工程车辆载荷谱试验方法及应用[M].江苏:中国矿业大学出版社, 2011:50-55.
[16] 张英爽, 王国强, 王继新, 等. 工程车辆传动系载荷谱编制方法[J]. 农业工程学报, 2011, 27(4):179-183. ZHANG Yingshuang, WANG Guoqiang, WANG Jixin, et al. Compilation method of power train load spectrum of engineering vehicle[J]. Transactions of the CSAE, 2011, 27(4):179-183.
[17] 王国军, 蒋美华, 王俊. 载荷谱信号奇异值剔除与降噪处理[J]. 仪器仪表学报, 2009, 30(S1):310-313. WANG Guojun, JIANG Meihua, WANG Jun. Remove spike and noise in the load spectrum method[J]. Chinese Journal of Scientific Instrument, 2009, 30(S1):310-313.
[18] 王继新, 季景方, 张英爽, 等. 基于小波分形理论的工程车辆时域载荷信号降噪方法[J]. 吉林大学学报:工学版, 2011, 41(S2):221-225. WANG Jixin, JI Jingfang, ZHANG Yingshuang. Denoising method of time domain load signals of engineering vehicles based on wavelet and fractal theory[J]. Journal of Jilin University:Engineering and Technology Edition, 2011, 41(S2):221-225.
[19] WANG J X, TANG X B. Wavelet denoise method applied in load spectrum analysis of engineering vehicles[J]. Advanced Materials Research, 2010, 108:1320-1325.
[20] 李健成. 矿山装载机设计[M]. 北京:机械工业出版社, 1985:50-62.
[21] 孙强. 应用于压缩式环卫车的单轴并联式混合动力总成匹配技术研究[D]. 济南:山东大学, 2014. SUN Qiang. Investigation on single-axle parallel hybrid powertrain matching technique used in compression sanitation trucks[D]. Jinan:Shandong University, 2014.
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