Abstract
This paper describes an investigation of energy efficiency by applying an advanced powertrain system in a conventional wheel loader. A conventional powertrain of a wheel loader consists of an engine, torque converter and transmission. A torque converter in a conventional system generally causes a significant amount of energy loss, as determined by analyzing energy flow based on V-pattern working. To prevent energy loss in a torque converter, Automated manual transmission (AMT) was proposed and modeled in this paper as an advanced powertrain. A wheel loader based on AMT does not need to use a torque converter since the single clutch system is used between the engine and transmission with subsystems of engine controller, clutch actuator and controller. A simplified single clutch system and controller were constructed for V-pattern working of a wheel loader. Additionally, a PI-controller was used as a control algorithm for engine speed control to prevent energy loss while the clutch is not engaged. All simulation models have been constructed in the Matlab/ Simulink environment, and simulation studies were conducted by using a simulation model of a wheel loader with a driver model based on V-pattern working. Simulation results of the AMT-based wheel loader were analyzed by comparison with the results of the torque converter-based wheel loader, and the results show that the AMT-based wheel loader is more energy efficient than the conventional wheel loader.
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Q. F. Wang, Y. T. Zhang and Q. Xiao, Evaluation for energy saving effect and simulation research on energy saving of hydraulic system in hybrid construction machine, Chinese Journal of Mechanical Engineering, 41 (12) (2005) 135–140.
Y. J. Wei, Study on a new type of hydraulic hybrid sport utility vehicle, Chinese Journal of Mechanical Engineering, 17 (15) (2006) 1645–1648.
L. O. Hewko and T. R. Weber, Hydraulic energy storage based hybrid propulsion system for a terrestrial vehicle, Energy Conversion Engineering Conference (1990) 99–105.
K. S. Oh, H. G. Kim, K. E. Ko, P. Y. Kim, J. H. Seo and K. S. Yi, Energy flow analysis of working and driving system of a wheel loader, Journal of The Korean Society for Fluid Power & Construction Equipments, 11 (2) (2014) 22–29.
R. Filla and J. O. Palmberg, Using dynamic simulation in the development of construction machinery, The Eighth Scandinavian International Conference on fluid Power, Tamper, Finland, 1 (2003) 651–667.
K. Oh, H. Kim, K. Ko, P. Kim and K. Yi, Integrated wheel loader simulation model for improving performance and energy flow, Automation in Construction, 58 (2015) 129–143.
F. Wang, M. Zulkefli, Z. Sun and K. Stelson, Energy management strategy for a power split hydraulic hybrid wheel loader, IMechE, Part D: Journal of Automobile Engineering (2015) 1–16.
T. Lin, Q. Wang, B. Hu and W. Gong, Development of hybrid powered hydraulic construction machinery, Automation in Construction, 19 (2010) 11–19.
S. Hui and J. Junqing, Research on the system configuration and energy control strategy for parallel hydraulic hybrid loader, Automation in Construction, 19 (2010) 213–220.
X. Song, Z. Sun, X. Yang and G. Zhu, Modeling, control, and hardware-in-the-loop simulation of an automated manual transmission, IMechE, Part D: Journal of Automobile Engineering (2015) 1–16.
D. Park, T. Seo, D. Lim and H. Cho, Theoretical investigation on automatic transmission efficiency, SAE Technical Paper, 960426 (1996).
M. Kluger and D. Long, An overview of current automatic, manual and continuously variable transmission efficiencies and their projected future improvements, SAE Technical Paper, 1999-01-1259 (1999).
E. Galvagno, M. Velardocchina and A. Vigliani, Analysis and simulation of a torque assist automated manual transmission, Mechanical Systems and Signal Processing, 5 (2015) 1877–1886.
H. Lee, S. Sul, H. Cho and J. Lee, Advanced gear shifting and clutching strategy for parallel hybrid vehicle with automated manual transmission, IEEE Industry Application Conference, 3 (1998) 1709–1713.
K. S. Oh, S. J. Yun, H. G. Kim, K. S. Yi, K. E. Ko and P. Y. Kim, Development of wheel loader dynamic simulation model, SAE Technical Paper, 2013-01-1194 (2013).
M. N. Howell and M. C. Best, On-l ine PID tuning for engine idle-speed control using continuous action reinforcement learning automata, Control Engineering Practice, 8 (2000) 147–154.
K. H. Ang, G. Chong and Y. Li, PID control system analysis, design, and technology, IEEE Transaction on Control Systems Technology, 13 (4) (2005).
P. K. Wong, L. M. Tam, K Li and C. M. Vong, Engine idle-speed system modelling and control optimization using artificial intelligence, IMechE Part D: J. Automobile Engineering, January, 224 (2010).
J. G. Ziegler and N. B. Nichols, Optimum settings for automatic controllers, Trans. ASME, 64 (1942) 759–768.
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Kwangseok Oh received his B.S. degrees in mechanical engineering from Hanyang University and M.S. degrees in mechanical and aerospace engineering from Seoul National University, Korea, in 2009 and 2013. He is a Ph.D. student in mechanical and aerospace engineering at the Seoul National University, Korea. His research interests involve construction machinery.
Seungjae Yun received his B.S. and M.S. degrees in mechanical and aerospace engineering from Seoul National University, Korea, in 2009 and 2011. He is a Ph.D. student in mechanical and aerospace engineering at the Seoul National University, Korea. His research interests involve hybrid electric systems and efficient driving control.
Kyungeun Ko received her B.S. degrees aerospace and mechanical engineering from Korea Aerospace University, Korea, in 2000 and M.S. degrees in mechanical and aerospace engineering from Seoul National University, Korea, in 2002. Her research interests powertrain system and vehicle dynamics.
Panyoung Kim received his B.S. degrees naval architect engineering from Seoul National University, Korea, in 1993 and M.S. degrees in naval architect engineering from Seoul National University, Korea, in 1995. His research interests construction equipment system engineering.
Jaho Seo has been a senior researcher in the Department of System Reliability at Korea Institute of Machinery & Materials, involved in research on control systems for construction equipment and wind turbine. He received a B.S. degree in agricultural machinery and process engineering from Seoul National University, a M.E. degree in mechanical engineering from University of Quebec (Ecole de Technologie Superieure), Canada, and a Ph.D. degree in mechanical engineering from University of Waterloo, Canada (2011).
Kyongsu Yi received the B.S. and M.S. degrees in mechanical engineering from Seoul National University, Korea, in 1985 and 1987, respectively, and the Ph.D. degree in mechanical engineering from the University of California, Berkeley, in 1992. Dr. Yi is a Professor at the School of Mechanical and Aerospace Engineering at Seoul National University, Korea. He currently serves as a member of the editorial boards of the KSME, IJAT and ICROS journals. Dr. Yi's research interests are control systems, driver assistant systems, and active safety systems of a ground vehicle.
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Oh, K., Yun, S., Ko, K. et al. An investigation of energy efficiency of a wheel loader with automated manual transmission. J Mech Sci Technol 30, 2933–2940 (2016). https://doi.org/10.1007/s12206-016-0602-y
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DOI: https://doi.org/10.1007/s12206-016-0602-y