Abstract
The full hydraulic braking systems have gradually replaced the traditional mechanically actuated brake systems due to their increased performance, reliability, and safety. Besides their excellent characteristics, the functional performance of individual components, the correlation of their performance parameters, and energy consumption are not fully explored. In this paper, An Advanced Modeling Environment for performing Simulation of engineering systems (AMESim) simulation model of a fully hydraulic braking system is developed and validated, and the sensitivity of different parameters to the system performance is predicted. The multi-factor comprehensive optimization analysis was carried out from the system level for the first time. The brake energy consumption and interaction time are evaluated through a Genetic Algorithm (GA) considering a multi-factor coupling condition. The optimization results revealed that the outlet pressure and braking pump power are reduced by 35.6%, the energy consumption is reduced by 32.8%, and the braking times are increased by 10%.
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Yang, Y.; Xia, G.F.; Deng, Z.H.: Simulation research on fully hydraulic wet braking system of wheel loader. Constr. Mach. Equip. 52(7), 34–39 (2021)
Peng, Y.S.; Hu, K.J.; Xiao, L.P.: Design of hydraulic braking system of rope traction rail transport vehicle. Chin. Hydraul. Pneum. 45(11), 106–111 (2021)
Wang, T.J.; Fu, D.L.; Zhang, M.R.: Research on the dynamic characteristics of the relay valve of fully hydraulic braking system. J. Hunan Univ. (Nat. Sci.) 48(4), 126–134 (2021)
Han, W.; Xiong, L.; Yu, Z.H.P.: Braking pressure control in electro-hydraulic brake system based on pressure estimation with nonlinearities and uncertainties. Mech. Syst. Signal Process. 131(15), 703–727 (2019)
Gong, M.D.; Wei, H.L.; Liu, X.H.: Full power hydraulic brake system based on double pipelines for heavy vehicles. Chin. J. Mech. Eng. 24(5), 790–797 (2011)
Song, J.B.; Lin, M.Y.; Yang, H.Q.: Research and application on charging system of fully hydraulic braking system on construction vehicle. Hydrodyn. Hydrostatics 11(25), 126–128 (2011)
Niu, H.J.: Application and design of fully hydraulic double circuit braking system in construction machinery. Constr. Mach. Technol. Manag. 33(3), 84–87 (2020)
Jiang, Y.; Luo, Y.L.: Design of fully hydraulic brake test system based on LabVIEW. Mach. Tool Hydraul. 45(16), 165–167 (2017)
Song, H.H.; Zhang, Z.D.; Shi, N.N.: Simulation analysis of variable parameters of control valve in full hydraulic braking system. Energy Res. Inf. 34(4), 237–244 (2018)
Wen, Y.Q.; Bi, S.: Research on braking impact characteristics of fully hydraulic braking system based on AMESim. Constr. Mach. Maint. 4, 70–71 (2020)
Ning, Y.; Liu, X.H.; Chen, J.S.: Research on dynamic characteristic of charging valve of the full hydraulic braking system. Appl. Mech. Mater. 26(13), 373–375 (2013)
Chen, J.S.; Liu, X.H.; Wang, T.J.: Charging valve of the full hydraulic braking system. Adv. Mech. Eng. 8(3), 1–11 (2016)
Misevičius, A.; Palubeckis, G.; Drezner, Z.: Hierarchicity-based (self-similar) hybrid genetic algorithm for the grey pattern quadratic assignment problem. Memet. Comput. 13(1), 69–90 (2021)
Gan, Y.; Guo, H.; Zhou, Z.H.: 3D NoC low-power mapping optimization based on improved genetic algorithm. Micromachines 12(10), 12–17 (2021)
Mitchell, M.: An Introduction to Genetic Algorithms, p. 32. MMIT Press, Cambridge (1996)
Yan, C.H.; Li, M.X.; Zhou, X.: Application of improved genetic algorithm in function optimization. J. Inf. Sci. Eng. 35(6), 1299–1309 (2019)
Rawal, K.; Sethi, G.: Design of matched wavelet using improved genetic algorithm for heart stiffness variability analysis of the menstrual cycle. Int. J. Image Graph. 21(3) (2021)
Yu, M.; Shi, B.Q.: Optimal design and robust analysis of accumulator in hydraulic braking system. Trans. Chin. Soc. Agric. Eng. 27(6) (2011)
Zhang, Z.D.; Shi, N.N.; Jiang, W.P.: Research on performance simulation and structure optimization of charging valve in full hydraulic braking system. Mach. Des. Manuf. 1(12), 43–47 (2015)
Li, C.S.; Liu, X.H.; Wang, X.: Optimization of multi-way valve structure in digital hydraulic system of loader. Energies 14(3) (2021)
Zhou, C.; Liu, X.H.; Xu, F.X.: Design optimization of steering mechanisms for articulated off-road vehicles based on genetic algorithms. Algorithms 11(2) (2018)
Pei, H.J.; Cui, Y.L.; Kong, B.B., et al.: Structural parameters optimization of submerged inlet using least squares support vector machines and improved genetic algorithm-particle swarm optimization approach. Eng. Appl. Comput. Fluid Mech. 15(1), 503–511 (2021)
Liu, J.J.; Zhao, T.; Liu, K., et al.: Optimization of structure parameters in a coal pyrolysis filtration system based on CFD and quadratic regression orthogonal combination and a genetic algorithm. Eng. Appl. Comput. Fluid Mech. 15(1), 815–829 (2021)
Ghalandari, M.; Ziamolki, A.; Mosavi, A., et al.: Aeromechanical optimization of first row compressor test stand blades using a hybrid machine learning model of genetic algorithm. Artif. Neural Netw. Des. Exp. Eng. Appl. Comput. Fluid Mech. 13(1), 892–904 (2019)
Wu, C.L.; Chau, K.W.: A flood forecasting neural network model with genetic algorithm. Int. J. Environ. Pollut. 28(3–4), 261–273 (2006)
Yang, Y.; Wang, H.B.; Xia, G.F.: Modeling and simulation analysis of wet multi-disk service braking system for heavy vehicles. IEEE Access 8, 150059–150071 (2020)
Gao, C.G.; Lin, M.Y.; Hou, J.P.: Modeling and simulation of hydraulic pipeline for full power braking system of construction vehicle. Hydrostatics Hydrodyn. 41(12), 42–45 (2010)
Guo, R.; Chang, R.L.; Zhao, J., et al.: Research on accumulator charging characteristics of hydraulic brake system. Trans. Chin. Soc. Agric. Mach. 18(7), 7–12 (2014)
Hu, B.; Zhang, Z.D.; Wang, X.Y., et al.: Simulation and experiments on dual circuit hydraulic braking value of hydraulic braking system. Energy Res. Inf. 32(1), 39–44 (2016)
GBT 21152-2007 Earth-moving machinery. Wheeled machines. Performance requirements and test methods for braking systems
Thum, C.; Sung, H.P.; Ato, K.: Development of hydraulic friction brake for railway rolling stock. JSME Int. J. 47(4), 1166–1174 (2004)
Xiao, L.J.; Qi, H.; Sun, C.Y., et al.: Monorail emergency braking hydraulic system modeling and simulation analysis. Coal Mine Mach. 11, 110–112 (2014)
Lin, D.Z.; Yang, F.; Gong, D., et al.: Experimental investigation of two types interconnected hydro-pneumatic struts. IEEE Access 7, 100626–100637 (2019)
Zi, B.; Zhang, L.; Zhang, D., et al.: Modeling, analysis, and co-simulation of cable parallel manipulators for multiple cranes. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 229(9), 1693–1707 (2015)
Yang, S.Y.; Ou, Y.B.; Guo, Y., et al.: Analysis and optimization of the working parameters of the impact mechanism of hydraulic rock drill based on a numerical simulation. Int. J. Precis. Eng. Manuf. 18(7), 971–977 (2017)
Sourabh, K.; Sumit, S.C.; Vijay, K.: A review on genetic algorithm: past, present, and future. Multimed. Tools Appl. 80(5), 8097–8126 (2021)
Sun, Y.; Li, J.R.; Fu, X.L.: Application research based on improved genetic algorithm in cloud task scheduling. J. Intell. Fuzzy Syst. 38(1), 239–246 (2020)
Drezner, Z.; Drezner, T.D.: Biologically inspired parent selection in genetic algorithms. Ann. Oper. Res. 287(1), 161–183 (2020)
Seyedfakhreddin, N.; Zhang, L.H.: Design and optimization of piezoelectric MEMS vibration energy harvesters based on genetic algorithm. IEEE Sens. 17, 7372–7382 (2017)
Senthilkumar, B.; Kannan, T.; Madesh, R.: Optimization of flux-cored arc welding process parameters by using genetic algorithm. Int. J. Adv. Manuf. Technol. 93(1–4), 35–41 (2017)
Zhang, H.; Hua, M.; Dong, G.Z.: Optimization of texture shape based on Genetic Algorithm under unidirectional sliding. Tribol. Int. 115(1), 222–232 (2017)
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This research was funded by The National Key Research and Development Program of China under Grant No. 2016YFC0802904.
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Tan, P., Liu, Xh., Cao, BW. et al. Performance Analysis of the Dual-Circuit Full Hydraulic Braking System Under Multi-Factor Coupling. Arab J Sci Eng 48, 11309–11322 (2023). https://doi.org/10.1007/s13369-022-07425-w
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DOI: https://doi.org/10.1007/s13369-022-07425-w