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Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles

Year 2022, Volume: 6 Issue: 3, 257 - 264, 03.10.2022
https://doi.org/10.30939/ijastech..1119271

Abstract

An optimal clutch control of a one-way clutch assistant transmission (OCAT) for electrical vehicles is presented in this study. The OCAT consists of a fictional clutch and a one-way clutch. The working principle of the OCAT is to shift automatically the speed ratio of the OCAT by automatic disengagement and engagement characters of the one-way clutch. Since torques in launch conditions that are generated by a motor highly oscillates, desired shift performances that can represent speed ratio changes of the OCAT also highly oscillates. A simplified dynamic model of launch conditions of the OCAT is built in this paper. The clutch controller based on an optimal control method is also proposed. Simulations and tests are carried out. The results of both simulation and test prove the dynamic model and control strategy build in the paper can be used to study the dynamic characters of the OCAT during launch.

Supporting Institution

Shanghai Education Commission

Project Number

No. 11CXY45

References

  • Srivastava N, Haque I. A review on belt and chain continuously variable transmissions (CVT): Dynamics and control. Mech Mach Theory. 2009;44(1):19-41.
  • Hu YH, Li G, Zhu WD, Cui JK. An elastic transmission error compensation method for rotary vector speed reducers based on error sensitivity analysis. Appl Sci. 2020;10(2):481.
  • Yan J, Li G, Liu K. Development trend of wind power technology. Int J Adv Eng Res Sci. 2020;7(6):124-132.
  • Zhu Y, Liu KC. The present situation of research and development of impulse stepless speed variator. Pack Food Mach. 2003;21(5):11-14.
  • Li G. Design and modeling of an impulse continuously variable transmission with a rotational swashplate. Int J Auto Sci Tech. 2020;4(4):307-313.
  • Xu M, Zhang X, Hu G, Li G. The structure design and flow field simulation of a fire water monitor driven by worm gear with bevel gear. Mach Tool & Hydra. 2016;6:57-61.
  • Gu KL, Wang ZH, Li G, Liu XR. Optimization of geometric parameters of the straight conjugate internal gear pump based on GA. Elec Sci Tech, 2017;30(6):39-42.
  • Zhang XL, Wang ZH, Li G. Research on virtual hobbing simulation and study of tooth surface accuracy of involute helical gears. Appl Mech Mater. 2012;155:601-605.
  • Li G, Wang ZH, Zhu WD, Kubo A. A function-oriented active form-grinding method for cylindrical gears based on error sensitivity. Int J Adv Manuf Tech. 2017;92(5-8):3019-3031.
  • Wang ZH, Zhu WM, Li G, Geng Z. Optimization of contact line for form-grinding modified helical gears based on neural network. China Mech Eng. 2014;25(12):1665-1671.
  • Li G. An active forming grinding method for cylindrical involute gears based on a second-order transmission error model. SCIREA J Mech Eng. 2019;2(1):1-14.
  • Li G, Zhu WD. An active ease-off topography modification approach for hypoid pinions based on a modified error sensitivity analysis method. ASME J Mech Des. 2019;141(9):093302.
  • Li G, Wang ZH, Kubo A. Error-sensitivity analysis for hypoid gears using a real tooth surface contact model. Proc Instn Mech Eng, Part C: J Mech Eng Sci. 2017;231(3):507-521.
  • Zhang WX, Wang ZH, Liu XR, Li G, Wan PL, Wang W. Research on optimization of temperature measuring point and thermal error prediction method of CNC machine tools. J Shaanxi University of Tech (Na Sci Ed). 2017; 33(3):18-24.
  • Wang ZH, Cao H, Li G, Liu XR. Compensation of the radial error of measuring head based on forming grinding machine. J Mech Trans. 2017;41(3):143-146.
  • Wang ZH, Song XM, He WM, Li G, Zhu WM, Geng Z. Tooth surface model construction and error evaluation for tooth-trace modification of helical gear by form grinding. China Mech Eng. 2015;26(21):2841-2847.
  • Li G, Wang ZH, Kubo A. Tooth contact analysis of spiral bevel gears based on digital real tooth surfaces. Chin J Mech Eng. 2014;50(15):1-11.
  • Wang ZH, Wang J, Ma PC, Li G. Dynamic transmission error analysis of spiral bevel gears with actual tooth surfaces. J Vib Shock. 2014;33(15):138-143.
  • Wang ZH, Wang J, Wang QL, Li G. Transmission error of spiral bevel gear based on finite element method. J of Vib Shock. 2014;33(14):165-170.
  • Li G, Wang ZH, Kubo A. The modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Int J Prec Eng Manuf. 2016;17(3):281-292.
  • Li G, Zhu WD. Design and power loss evaluation of a noncircular gear pair for an infinitely variable transmission. Mech Mach Theory. 2021;156:104137.
  • van Berkel K, Hofman T, Vroemen B, Steinbuch M. Optimal con-trol of a mechanical hybrid powertrain. IEEE Trans Vehic Tech. 2012;61(2):485-497.
  • Li G, Geng Z. Gear bending stress analysis of automatic transmissions with different fillet curves. Int J Auto Sci Tech. 2021;5(2):99-105.
  • Huang DQ, Wang ZH, Li G, Zhu WD. Conjugate approach for hypoid gears frictional loss comparison between different rough-ness patterns under mixed elastohydrodynamic lubrication regime. Tribo Int. 2019;140:105884.
  • Li G, Wang ZH, Zhu WD. Prediction of surface wear of involute gears based on a modified fractal method. ASME J Tribo. 2019;141(3):031603.
  • Wu J, Wang ZH, Li G. Study on crack propagation characteristics and remaining life of helical gear. J Mech Trans. 2014;38(12):1-4.
  • Li G, Wang ZH, Geng Z, Zhu WM. Modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Chin J Mech Eng. 2015;51(7):77-84.
  • Li G, Geng Z. Tooth contact analysis of herringbone rack gears of an impulse continuously variable transmission. Int J Auto Sci Tech. 2021;5(1):52-57.
  • Wang ZH, Yuan KK, Li G. Optimization identification for dynamic characteristics parameters of sliding joints based on response sur-face methodology. China Mech Eng. 2016;27(5):622-626.
  • Hu YH, Li G, Hu AM. Iterative optimization of orbital dynamics based on model prediction. Front Arti Intel App. 2019;320:76-86.
  • Li G, Zhu WD. Experimental investigation on control of an infinitely variable transmission system for tidal current energy converters. IEEE/ASME Trans Mechatron. 2021; 26(4):1960-1967.
  • Li G, Zhu WD. Theoretical and experimental investigation on an integral time-delay feedback control combined with a closed-loop control for an infinitely variable transmission system. Mech Mach Theory. 2021;164:104410.
  • Qin DT. Universal clutch starting control of AMT/DCT automatic transmission based on optimal control. Chin J Mech Eng. 2011;47(12):85-91.
  • Lu TL, Dai F, Zhang JW, Wu MX. Optimal control of dry clutch engagement based on the driver's starting intentions. Proc Instn Mech Eng, Part D: J Automob Eng. 2012; 226(8):1048-1057.
  • Horn J, Bamberger J, Michau P, Pindl S. Flatness-based clutch control for automated manual transmissions. Control Eng Pract. 2003;11:1353-1359.
  • Li G, Zhu WD. Time-delay closed-loop control of an infinitely variable transmission system for tidal current energy converters. Renew Energy. 2022;189:1120-1132.
  • Song XY, Sun ZX. Pressure-based clutch control for automotive transmissions using a sliding-mode controller. IEEE/ASME Trans Mechatron. 2012;17(3):534-546.
Year 2022, Volume: 6 Issue: 3, 257 - 264, 03.10.2022
https://doi.org/10.30939/ijastech..1119271

Abstract

Project Number

No. 11CXY45

References

  • Srivastava N, Haque I. A review on belt and chain continuously variable transmissions (CVT): Dynamics and control. Mech Mach Theory. 2009;44(1):19-41.
  • Hu YH, Li G, Zhu WD, Cui JK. An elastic transmission error compensation method for rotary vector speed reducers based on error sensitivity analysis. Appl Sci. 2020;10(2):481.
  • Yan J, Li G, Liu K. Development trend of wind power technology. Int J Adv Eng Res Sci. 2020;7(6):124-132.
  • Zhu Y, Liu KC. The present situation of research and development of impulse stepless speed variator. Pack Food Mach. 2003;21(5):11-14.
  • Li G. Design and modeling of an impulse continuously variable transmission with a rotational swashplate. Int J Auto Sci Tech. 2020;4(4):307-313.
  • Xu M, Zhang X, Hu G, Li G. The structure design and flow field simulation of a fire water monitor driven by worm gear with bevel gear. Mach Tool & Hydra. 2016;6:57-61.
  • Gu KL, Wang ZH, Li G, Liu XR. Optimization of geometric parameters of the straight conjugate internal gear pump based on GA. Elec Sci Tech, 2017;30(6):39-42.
  • Zhang XL, Wang ZH, Li G. Research on virtual hobbing simulation and study of tooth surface accuracy of involute helical gears. Appl Mech Mater. 2012;155:601-605.
  • Li G, Wang ZH, Zhu WD, Kubo A. A function-oriented active form-grinding method for cylindrical gears based on error sensitivity. Int J Adv Manuf Tech. 2017;92(5-8):3019-3031.
  • Wang ZH, Zhu WM, Li G, Geng Z. Optimization of contact line for form-grinding modified helical gears based on neural network. China Mech Eng. 2014;25(12):1665-1671.
  • Li G. An active forming grinding method for cylindrical involute gears based on a second-order transmission error model. SCIREA J Mech Eng. 2019;2(1):1-14.
  • Li G, Zhu WD. An active ease-off topography modification approach for hypoid pinions based on a modified error sensitivity analysis method. ASME J Mech Des. 2019;141(9):093302.
  • Li G, Wang ZH, Kubo A. Error-sensitivity analysis for hypoid gears using a real tooth surface contact model. Proc Instn Mech Eng, Part C: J Mech Eng Sci. 2017;231(3):507-521.
  • Zhang WX, Wang ZH, Liu XR, Li G, Wan PL, Wang W. Research on optimization of temperature measuring point and thermal error prediction method of CNC machine tools. J Shaanxi University of Tech (Na Sci Ed). 2017; 33(3):18-24.
  • Wang ZH, Cao H, Li G, Liu XR. Compensation of the radial error of measuring head based on forming grinding machine. J Mech Trans. 2017;41(3):143-146.
  • Wang ZH, Song XM, He WM, Li G, Zhu WM, Geng Z. Tooth surface model construction and error evaluation for tooth-trace modification of helical gear by form grinding. China Mech Eng. 2015;26(21):2841-2847.
  • Li G, Wang ZH, Kubo A. Tooth contact analysis of spiral bevel gears based on digital real tooth surfaces. Chin J Mech Eng. 2014;50(15):1-11.
  • Wang ZH, Wang J, Ma PC, Li G. Dynamic transmission error analysis of spiral bevel gears with actual tooth surfaces. J Vib Shock. 2014;33(15):138-143.
  • Wang ZH, Wang J, Wang QL, Li G. Transmission error of spiral bevel gear based on finite element method. J of Vib Shock. 2014;33(14):165-170.
  • Li G, Wang ZH, Kubo A. The modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Int J Prec Eng Manuf. 2016;17(3):281-292.
  • Li G, Zhu WD. Design and power loss evaluation of a noncircular gear pair for an infinitely variable transmission. Mech Mach Theory. 2021;156:104137.
  • van Berkel K, Hofman T, Vroemen B, Steinbuch M. Optimal con-trol of a mechanical hybrid powertrain. IEEE Trans Vehic Tech. 2012;61(2):485-497.
  • Li G, Geng Z. Gear bending stress analysis of automatic transmissions with different fillet curves. Int J Auto Sci Tech. 2021;5(2):99-105.
  • Huang DQ, Wang ZH, Li G, Zhu WD. Conjugate approach for hypoid gears frictional loss comparison between different rough-ness patterns under mixed elastohydrodynamic lubrication regime. Tribo Int. 2019;140:105884.
  • Li G, Wang ZH, Zhu WD. Prediction of surface wear of involute gears based on a modified fractal method. ASME J Tribo. 2019;141(3):031603.
  • Wu J, Wang ZH, Li G. Study on crack propagation characteristics and remaining life of helical gear. J Mech Trans. 2014;38(12):1-4.
  • Li G, Wang ZH, Geng Z, Zhu WM. Modeling approach of digital real tooth surfaces of hypoid gears based on non-geometric-feature segmentation and interpolation algorithm. Chin J Mech Eng. 2015;51(7):77-84.
  • Li G, Geng Z. Tooth contact analysis of herringbone rack gears of an impulse continuously variable transmission. Int J Auto Sci Tech. 2021;5(1):52-57.
  • Wang ZH, Yuan KK, Li G. Optimization identification for dynamic characteristics parameters of sliding joints based on response sur-face methodology. China Mech Eng. 2016;27(5):622-626.
  • Hu YH, Li G, Hu AM. Iterative optimization of orbital dynamics based on model prediction. Front Arti Intel App. 2019;320:76-86.
  • Li G, Zhu WD. Experimental investigation on control of an infinitely variable transmission system for tidal current energy converters. IEEE/ASME Trans Mechatron. 2021; 26(4):1960-1967.
  • Li G, Zhu WD. Theoretical and experimental investigation on an integral time-delay feedback control combined with a closed-loop control for an infinitely variable transmission system. Mech Mach Theory. 2021;164:104410.
  • Qin DT. Universal clutch starting control of AMT/DCT automatic transmission based on optimal control. Chin J Mech Eng. 2011;47(12):85-91.
  • Lu TL, Dai F, Zhang JW, Wu MX. Optimal control of dry clutch engagement based on the driver's starting intentions. Proc Instn Mech Eng, Part D: J Automob Eng. 2012; 226(8):1048-1057.
  • Horn J, Bamberger J, Michau P, Pindl S. Flatness-based clutch control for automated manual transmissions. Control Eng Pract. 2003;11:1353-1359.
  • Li G, Zhu WD. Time-delay closed-loop control of an infinitely variable transmission system for tidal current energy converters. Renew Energy. 2022;189:1120-1132.
  • Song XY, Sun ZX. Pressure-based clutch control for automotive transmissions using a sliding-mode controller. IEEE/ASME Trans Mechatron. 2012;17(3):534-546.
There are 37 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Articles
Authors

Zhi Geng 0000-0002-4513-9984

Gang Lı 0000-0003-2793-4615

Project Number No. 11CXY45
Publication Date October 3, 2022
Submission Date May 20, 2022
Acceptance Date July 21, 2022
Published in Issue Year 2022 Volume: 6 Issue: 3

Cite

APA Geng, Z., & Lı, G. (2022). Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles. International Journal of Automotive Science And Technology, 6(3), 257-264. https://doi.org/10.30939/ijastech..1119271
AMA Geng Z, Lı G. Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles. IJASTECH. October 2022;6(3):257-264. doi:10.30939/ijastech.1119271
Chicago Geng, Zhi, and Gang Lı. “Optimal Clutch Control of a One-Way Clutch Assistant Transmission for Electrical Vehicles”. International Journal of Automotive Science And Technology 6, no. 3 (October 2022): 257-64. https://doi.org/10.30939/ijastech. 1119271.
EndNote Geng Z, Lı G (October 1, 2022) Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles. International Journal of Automotive Science And Technology 6 3 257–264.
IEEE Z. Geng and G. Lı, “Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles”, IJASTECH, vol. 6, no. 3, pp. 257–264, 2022, doi: 10.30939/ijastech..1119271.
ISNAD Geng, Zhi - Lı, Gang. “Optimal Clutch Control of a One-Way Clutch Assistant Transmission for Electrical Vehicles”. International Journal of Automotive Science And Technology 6/3 (October 2022), 257-264. https://doi.org/10.30939/ijastech. 1119271.
JAMA Geng Z, Lı G. Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles. IJASTECH. 2022;6:257–264.
MLA Geng, Zhi and Gang Lı. “Optimal Clutch Control of a One-Way Clutch Assistant Transmission for Electrical Vehicles”. International Journal of Automotive Science And Technology, vol. 6, no. 3, 2022, pp. 257-64, doi:10.30939/ijastech. 1119271.
Vancouver Geng Z, Lı G. Optimal Clutch Control of a One-way Clutch Assistant Transmission for Electrical Vehicles. IJASTECH. 2022;6(3):257-64.

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International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey

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