Fuel economy of multiple conditions self-adaptive tractors with hydro-mechanical CVT
Keywords:
high power wheeled tractor, self-adaptive tractor, HMCVT, fuel economy, navigationAbstract
Fuel economy is one of the most important properties of wheeled tractors. To improve the fuel economy, it is necessary to improve the engine fuel economy and the tractive efficiency of the driving mechanism. By analyzing the fuel economy evaluation index of wheeled tractors, the correlation among the tractor specific fuel consumption, the engine effective specific fuel consumption and the tractive efficiency of the driving mechanism were clarified in this paper. A tractor with a new type of hydro-mechanical continuously variable transmission (HMCVT) was designed and its whole model was established too. On the basis of each module’s simulation model, the binary speed ratio matching simulation model of the gearbox-engine system was obtained by the control system reconstruction, and the fuel economy simulation analysis of the wheeled tractor with HMCVT was carried out under the two typical working conditions of plowing and sowing. Compared with the current national standard, the fuel economy of the newly designed wheeled tractors with the power of 130 kW was 380 g/(kW·h), specific fuel consumption was reduced by 21.1%. The results showed that the new tractor fuel economy was greatly improved. Further, automatic navigation technology can be combined with the self-adaptive tractors to adapt to different working conditions and achieve the optimal fuel economy, which can be applied in precision agriculture. Keywords: high power wheeled tractor, self-adaptive tractor, HMCVT, fuel economy, navigation DOI: 10.25165/j.ijabe.20181103.2158 Citation: Xiao M H, Zhao J, Wang Y W, Zhang H J, Lu Z X, Wei W H. Fuel economy of multiple conditions self-adaptive tractors with hydro-mechanical CVT. Int J Agric & Biol Eng, 2018; 11(3): 102–109.References
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[2] Pan W J, Zhu Y D, Jiang Z, Chen F Q, Mou Y J. Optimization of transmission speed ratio based on improved fuel economy. Equipment Manufacturing Technology, 2017; 4: 93–94. (in Chinese)
[3] Cai W X, Xiao C W, Huang X Y, Qiu Z C, Chen K. The shift guidance system based on the best fuel economy. Application of Computer
Systems, 2015; 24(3): 270–274. (in Chinese)
[4] Moitzi G, Wagentristl H, Refenner K, Weingartmann H, Piringer G, Boxberger J. Effects of working depth and wheel slip on fuel consumption of selected tillage implements. Agricultural Engineering International: The CIGR e-journal, 2014; 16(1): 182–190.
[5] Cutini M, Bisaglia C. Development of a dynamometric vehicle to assess the drawbar performance of high-powered agricultural tractors. Journal of Terramechanics, 2016; 65: 73–84.
[6] T, Šmerda, J, Čupera. Tire inflation and its influence on drawbar characteristics and performance-Energetic indicators of a tractor test. Journal of Terramechanics, 2010; 47(6): 395–400.
[7] Turker U, Ergul I, Eroglu M C. Energy efficiency classification of agricultural tractors in Turkey based on OECD tests. Energy Education Science and Technology. Part A: Energy Science and Research, 2010; 28(2): 917–924.
[8] Godwin R J. A review of the effect of implement geometry on soil failure and implement forces. Soil and Tillage Research, 2007; 97(2): 331–340.
[9] Adamchuk V, Bulgakov V, Nadykto V. Theoretical research into the power and energy performance of agricultural tractors. Agronomy Research, 2016; 14(5): 1511–1518.
[10] Kang C F, Han H Q, Dai L Q, Zou L H. Fuel economy simulation of automobile and analysis of influencing factors. CHINA SAE, 2013; 4. (in Chinese)
[11] Ji Z. Evaluation method and device for fuel economy of automobile. Neusoft Group Co., Ltd, 2016. (in Chinese)
[12] Zhou M. Research on fuel economy of automatic variable speed vehicle ramp. Beijing Institute of Technology, 2016. (in Chinese)
[13] Kumar N, Pandey K P. A visual basic program for predicting optimum gear and throttle position for best fuel economy for 32 kW tractor. Computers and Electronics in Agriculture, 2015; 119: 217–227.
[14] Deng Z Y. Research on evaluation method of automobile fuel economy. Southwest Jiaotong University, 2015. (in Chinese)
[15] Lee J W., Kim J S, Kim K U. Computer simulations to maximise fuel efficiency and work performance of agricultural tractors in rotovating and ploughing operations. Biosystems Engineering, 2016; 142: 1–11.
[16] Nadykto V. Method of determining agricultural tractor’s engine power rating. Machinery and Technologies of Agro-Industry, 2014; 1:7–9.
[17] Algirdas J, Vidas D, Gediminas P. Effect of variations in front wheels driving lead on performance of a farm tractor with mechanical front-wheel-drive. Journal of Terramechanics, 2018; 77:23–30.
[18] Gao X H. Research on key technology of car fuel economy development. Hefei University of Technology, 2016. (in Chinese)
[19] Weichai Power Co., Ltd.. 180PS with Tractor Diesel Engine Development Test Report (Economic Edition). Weifang: Weichai Power Co., Ltd. 2010. (in Chinese)
[20] Zhu S H. Development and trend of tractor in Germany. Journal of Agricultural Mechanization, 2002; 33(1): 111–114. (in Chinese)
[21] Shi J L. Design of HMCVT for non-road vehicle and control of variable pump. Nanjing: Nanjing Agricultural University, 2011. (in Chinese)
[22] Ni X D. Research on transmission characteristics of tractor's hydraulic machinery multi-section double-row discharge continuously variable transmission. Nanjing: Nanjing Agricultural University, 2013. (in Chinese)
[23] Han X, Kim H J, Jeon C W, Moon H C, Kim J H. Development of a low-cost GPS/INS integrated system for tractor automatic navigation. Int J Agric & Biol Eng, 2017; 10(2): 123–131.
[24] Hu J T, Li T C. Cascaded navigation control for agricultural vehicles tracking straight paths. Int J Agric & Biol Eng, 2014; 7(1): 36–44.
[25] Wu C C, Zhou L, Wang J, Cai Y P. Smartphone based precise monitoring method for farm operation. Int J Agric & Biol Eng, 2016; 9(3): 111–121.
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Published
2018-06-01
How to Cite
Xiao, M., Zhao, J., Wang, Y., Zhang, H., Lu, Z., & Wei, W. (2018). Fuel economy of multiple conditions self-adaptive tractors with hydro-mechanical CVT. International Journal of Agricultural and Biological Engineering, 11(3), 102–109. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/2158
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Power and Machinery Systems
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