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Collaborative Control of Novel Uninterrupted Propulsion System for All-Climate Electric Vehicles

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Abstract

Over the past decade, the electric vehicle industry of China has developed rapidly, reaching one of the highest technological levels in the world. Nevertheless, most electric buses currently serve urban areas, being unsuitable for all-climate operations. In response to the objective of massively adopting electric vehicles for transportation during all the events of the 2022 Beijing Winter Olympics, a dual-motor coaxial propulsion system for all-climate electric vehicles is proposed. The system aims to meet operating requirements such as high speed and adaptability to mountainous roads under severely cold environments. The system provides three operating modes, whose characteristics are analyzed under different conditions. In addition, dual-motor collaborative control strategy with collaborative gearshift and collaborative power distribution is proposed to eliminate power interruption during gearshift process and achieve intelligent power distribution, thus improving the gearshift quality and reducing energy consumption. Finally, gear position calibration for all-climate operation and proper gearshift is introduced. Experimental results demonstrate the advantages of the proposed dual-motor coaxial propulsion system regarding gearshift compared with the conventional single-motor automatic transmission.

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Abbreviations

AM:

Auxiliary motor

AMT:

Automated mechanical transmission

BEV:

Battery electric vehicle

DMCP:

Dual-motor coaxial propulsion

TCU:

Transmission control unit

TM:

Traction motor

References

  1. Larminie, J., Lowry, J.: Electric vehicle technology explained. Wiley, New Jersey (2012)

    Book  Google Scholar 

  2. Hu, X., Li, S., Peng, H.: A comparative study of equivalent circuit models for Li-ion batteries. J. Power Sources 198, 359–367 (2012)

    Article  Google Scholar 

  3. Wu, J., Liang, J., Ruan, J., et al.: Efficiency comparison of electric vehicles powertrains with dual motor and single motor input. Mech. Mach. Theory 128, 569–585 (2018)

    Article  Google Scholar 

  4. Xu, X.Y., Chen, Z.F., Liu, Y.J., et al.: Enumerative optimization procedure for the gear train optimization problem of a two-speed dedicated electric transmission. Energies 10(9), 1362 (2017)

    Article  Google Scholar 

  5. Zhao, B., Lv, C., Hofman, T., et al. Design optimization of the transmission system for electric vehicles considering the dynamic efficiency of the regenerative brake. SAE Technical Paper 2018–01–0819 (2018)

  6. Zhao, B., Lv, C., Hofman, T., et al.: Optimization of gear ratios for a two-speed transmission system of an electric passenger vehicle considering dynamical regenerative braking efficiency. SAE Technical Paper 2016–01–0436 (2016)

  7. Zhang, L.P., Yang, L.Q., Guo, X.B., et al.: Stage-by-phase multi-variable combination control for centralized and distributed drive modes switching of electric vehicles. Mech. Mach. Theory 147, 103752 (2020)

    Article  Google Scholar 

  8. Zeraoulia, M., Benbouzid, M.E.H., Diallo, D.: Electric motor drive selection issues for HEV propulsion systems: a comparative study. IEEE Trans. Veh. Technol. 55, 1756–1764 (2006)

    Article  Google Scholar 

  9. Li, L., Li, X., Wang, X., et al.: Analysis of downshifts improvement to energy efficiency of an electric vehicle during regenerative braking. Appl. Energ. 176, 125–137 (2016)

    Article  Google Scholar 

  10. Zhou, Z., Huang, M.: Regenerative braking algorithm for the electric vehicle with a seamless two-speed transmission. Proc. Inst. Mech. Eng. D: J. Automobile Eng., Part 233(4), 905–916 (2018)

    Article  Google Scholar 

  11. Zhang, C., Zhang, S., Han, G., et al.: Power management comparison for a dual-motor-propulsion system used in a battery electric bus. IEEE Trans. Ind. Electron. 64, 3873–3882 (2018)

    Article  Google Scholar 

  12. Dong, P., Liu, Y., Tenberge, P., et al.: Design and analysis of a novel multi-speed automatic transmission with four degrees-of-freedom. Mech. Mach. Theory 108, 83–96 (2017)

    Article  Google Scholar 

  13. Walker, P.D., Zhu, B., Zhang, N.: Powertrain dynamics and control of a two speed dual clutch transmission for electric vehicles. Mech. Syst. Signal Process 85, 1–15 (2017)

    Article  Google Scholar 

  14. Hong, S., Son, H., Lee, S., et al.: Shift control of a dry-type two-speed dual-clutch transmission for an electric vehicle. Proc. Inst. Mech. Eng., Part D: J. Automob. Eng. 230(3), 308–321 (2016)

    Article  Google Scholar 

  15. Mousavi, M.S.R., Pakniyat, A., Wang, T., et al.: Seamless dual brake transmission for electric vehicles: design, control and experiment. Mech. Mach. Theory 94, 96–118 (2015)

    Article  Google Scholar 

  16. Fang, S., Song, J., Song, H., et al.: Design and control of a novel two-speed uninterrupted mechanical transmission for electric vehicles. Mech. Syst. Signal Process 75, 473–493 (2016)

    Article  Google Scholar 

  17. Tian, Y., Ruan, J., Zhang, N., et al.: Modelling and control of a novel two-speed transmission for electric vehicles. Mech. Mach. Theory 127, 13–32 (2018)

    Article  Google Scholar 

  18. Zhu, B., Zhang, N., Walker, P.D., et al.: Gear shift schedule design for multi-speed pure electric vehicles. Proc. Inst. Mech. Eng., Part D: J. Automob. Eng. 229(1), 70–82 (2015)

    Article  Google Scholar 

  19. Qin, J., Fu, W., Gao, H., et al.: Distributed k-means algorithm and fuzzy c-means algorithm for sensor networks based on multiagent consensus theory. IEEE Trans. Cybernet 47, 772–783 (2017)

    Article  Google Scholar 

  20. Zhao, M.J., Shi, J.H., Lin, C.: Optimization of integrated energy management for a dual-motor coaxial coupling propulsion electric city bus. Appl. Energy 243, 21–34 (2019)

    Article  Google Scholar 

  21. Sorniotti, A., Pilone, G.L., Viotto, F., et al.: A novel seamless 2-speed transmission system for electric vehicles: principles and simulation results. SAE Int. J. Engines 4(2), 2671–2685 (2011)

    Article  Google Scholar 

  22. Walker, P.D., Rahman, S.A., Zhu, B., et al.: Modelling, simulations, and optimization of electric vehicles for analysis of transmission ratio selection. Adv. Mech. Eng. 5, 340435 (2013)

    Article  Google Scholar 

  23. Tseng, C.Y., Yu, C.H.: Advanced shifting control of synchronizer mechanisms for clutchless automatic manual transmission in an electric vehicle. Mech. Mach. Theory 84, 37–56 (2015)

    Article  Google Scholar 

  24. Gao, B.Z., Liang, Q., Xiang, Y., et al.: Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle. Mech. Syst. Signal. Pr. 50–51, 615–631 (2015)

    Article  Google Scholar 

  25. Roozegar, M., Angeles, J.: The optimal gear-shifting for a multispeed transmission system for electric vehicles. Mech. Mach. Theory 116, 1–13 (2017)

    Article  Google Scholar 

  26. Chen, H.X., Tian, G.Y.: Modeling and simulation of gear shifting in clutchless coupled motor-transmission system. J. Tsinghua Univ. 56, 144–151 (2016)

    Google Scholar 

  27. Zhu, X., Zhang, H., Xi, J., et al.: Robust speed synchronization control for clutchless automated manual transmission systems in electric vehicles. Proc. Inst. Mech. Eng., Part D: J. Automob. Eng. 229(4), 424–436 (2015)

    Article  Google Scholar 

  28. Wang, X., Li, L., He, K., et al.: Position and force switching control for gear engagement of automated manual transmission gear-shift process. J. Dyn. Syst. Meas. Control 140(8), 081010 (2018)

    Article  Google Scholar 

  29. Zhu, X., Meng, F., Zhang, H., et al.: Robust driveshaft torque observer design for stepped ratio transmission in electric vehicles. Neurocomputing 164, 262–271 (2015)

    Article  Google Scholar 

  30. Zhu, X., Zhang, H., Yang, B., et al.: Cloud-based shaft torque estimation for electric vehicle equipped with integrated motor-transmission system. Mech. Syst. Signal Pro. 99, 647–660 (2018)

    Article  Google Scholar 

  31. Yu, Q., Xiong, R., Lin, C., et al.: Lithium-ion battery parameters and state-of-charge joint estimation based on h-infinity and unscented Kalman filters. IEEE Trans. Veh. Technol. 66, 8693–8701 (2017)

    Article  Google Scholar 

  32. Sorniotti, A., Holdstock, T., Everitt, M., et al.: A novel clutchless multiple-speed transmission for electric axles. Int. J. Powertrains 2, 103–131 (2013)

    Article  Google Scholar 

  33. Hu, M., Zeng, J., Xu, S., et al.: Efficiency study of a dual-motor coupling EV powertrain. IEEE Trans. Veh. Technol. 64, 2252–2260 (2015)

    Article  Google Scholar 

  34. Zhang, S., Xiong, R., Zhang, C.: Pontryagin’s minimum principle-based power management of a dual-motor-driven electric bus. Appl. Energ. 159, 370–380 (2015)

    Article  Google Scholar 

  35. Uicker, J.J., Pennock, G.R., Shigley, J.E.: Theory of machines and mechanisms. Oxford University Press, New York (2011)

    Google Scholar 

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 51975049, and in part by the National Key Technology Research and Development Program of China under Grant 2017YFB0103801.

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Authors and Affiliations

  1. National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China

    Cheng Lin, Xiao Yu, Jiang Yi & Ruhui Zhang

  2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China

    Mingjie Zhao

  3. Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, China

    Xiao Yu

Authors
  1. Cheng Lin
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  2. Xiao Yu
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  3. Mingjie Zhao
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  4. Jiang Yi
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  5. Ruhui Zhang
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Corresponding author

Correspondence to Mingjie Zhao.

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On behalf of all the authors, the corresponding author states that there is no conflict of interest.

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Academic editor: Peng Dong

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Lin, C., Yu, X., Zhao, M. et al. Collaborative Control of Novel Uninterrupted Propulsion System for All-Climate Electric Vehicles. Automot. Innov. 5, 18–28 (2022). https://doi.org/10.1007/s42154-021-00170-0

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  • DOI: https://doi.org/10.1007/s42154-021-00170-0

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