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Powertrain design and energy management of a novel coaxial series-parallel plug-in hybrid electric vehicle

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Abstract

For a series plug-in hybrid electric vehicle, higher working efficiency can be achieved by the drive system with two small motors in parallel than that with one big motor alone. However, the overly complex structure will inevitably lead to a substantial increase in the development cost. To improve the system price-performance ratio, a new kind of series-parallel hybrid system evolved from the series plug-in hybrid system is designed. According to the technical parameters of the selected components, the system model is established, and the vehicle dynamic property and pure electric drive economy are evaluated. Based on the dynamic programming, the energy management strategy for the drive system under the city driving cycle is developed, and the superiority validation of the system is completed. For the studied vehicle driven by the designed series-parallel plug-in hybrid system, compared with the one driven by the described series plug-in hybrid system, the dynamic property is significantly improved because of the multi-power coupling, and the fuel consumption is reduced by 11.4% with 10 city driving cycles. In a word, with the flexible configuration of the designed hybrid system and the optimized control strategy of the energy management, the vehicle performance can be obviously improved.

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References

  1. Eberle U, Helmolt R V. Sustainable transportation based on electric vehicle concepts: A brief overview. Energy Environ Sci, 2010, 3: 689–699

    Article  Google Scholar 

  2. Dinçmen E, Güvenç B A. A control strategy for parallel hybrid electric vehicles based on extremum seeking. Vehicle Syst Dyn, 2012, 50: 199–227

    Article  Google Scholar 

  3. Serrao L, Onori S, Rizzoni G. A comparative analysis of energy management strategies for hybrid electric vehicles. J Dyn Syst Measur Control, 2011, 133: 031012

  4. Canova M, Guezennec Y, Yurkovich S. On the control of engine start/stop dynamics in a hybrid electric vehicle. J Dyn Syst Measur Control, 2009, 131: 061005

    Article  Google Scholar 

  5. Li L, You S X, Yang C, et al. Driving-behavior-bware stochastic model predictive control for plug-in hybrid electric buses. Appl Energy, 2016, 162: 868–879

    Article  Google Scholar 

  6. Shahi S K, Wang G G, An L, et al. Using the Pareto set pursuing multiobjective optimization approach for hybridization of a plug-in hybrid electric vehicle. J Mech Design, 2012, 134: 094503

    Article  Google Scholar 

  7. Van W M, Pop-Iliev R. Development of a dual-fuel power generation system for an extended range plug-in hybrid electric vehicle. IEEE T Ind Electron, 2010, 57: 641–648

    Article  Google Scholar 

  8. Wu G, Boriboonsomsin K, Barth M J. Development and evaluation of an intelligent energy-management strategy for plug-in hybrid electric vehicles. IIEEE T Intell Transp, 2014, 15: 1091–1100

    Article  Google Scholar 

  9. Chen L, Zhu F, Zhang M, et al. Design and analysis of an electrical variable transmission for a series–parallel hybrid electric vehicle. IEEE T Veh Technol, 2011, 60: 2354–2363

    Article  Google Scholar 

  10. Chau K T, Wong Y S. Overview of power management in hybrid electric vehicles. Energy Conv Manag, 2002, 43: 1953–1968

    Article  Google Scholar 

  11. Xiong W, Zhang Y, Yin C. Optimal energy management for a series–parallel hybrid electric bus. Energy Conv Manag, 2009, 50: 1730–1738

    Article  Google Scholar 

  12. Kang M X, Li L, Li H Z, et al. Coordinated vehicle traction controlbased on engine torque and brake pressure under complicated road conditions. Vehicle Syst Dyn, 2012, 50: 1473–1494

    Article  Google Scholar 

  13. Li L, Ran X, Wu K H, et al. A novel fuzzy logic correction algorithm for traction control systems with uneven low-adhesion road conditions. Vehicle Syst Dyn, 2015, 53: 711–733

    Article  Google Scholar 

  14. Li L, Yang K, Jia G, et al. Comprehensive tire–road friction coefficient estimation based on signal fusion method under complex maneuvering operations. Mech Syst Signal Process, 2015, 56–57: 259–276

    Article  Google Scholar 

  15. Li L, Jia G, Chen J, et al. A novel vehicle dynamics stability control algorithm based on the hierarchical strategy with constrain of nonlinear tyre forces. Vehicle Syst Dyn, 2015, 53: 1–24

    Article  Google Scholar 

  16. Li S G, Sharkh S M, Walsh F C, et al. Energy and battery management of a plug-in series hybrid electric vehicle using fuzzy logic. IEEE T Veh Technol, 2011, 60: 3571–3585

    Article  Google Scholar 

  17. Zhang L P, Li L, Qi B N, et al. Parameters optimum matching of pure electric vehicle dual-mode coupling drive system. Sci China Tech Sci, 2014, 57: 2265–2277

    Article  Google Scholar 

  18. Lin C C, Peng H, Grizzle J W, et al. Power management strategy for a parallel hybrid electric truck. IEEE T Cont Syst T, 2003, 11: 839–849

    Article  Google Scholar 

  19. Silva C, Ross M, Farias T. Evaluation of energy consumption, emissions and cost of plug-in hybrid vehicles. Energy Conv Manag, 2009, 50: 1635–1643.

    Article  Google Scholar 

  20. Stockar S, Marano V, Canova M, et al. Energy-optimal control of plug-in hybrid electric vehicles for real-world driving cycles. IEEE T Veh Technol, 2011, 60: 2949–2962

    Article  Google Scholar 

  21. Ao G Q, Qiang J X, Zhong H, et al. Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming. P I Mech Eng D-J Aut, 2008, 222: 1851–1864

    Article  Google Scholar 

  22. He Y, Chowdhury M, Pisu P, et al. An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles. Transport Res C-Emer, 2012, 22: 29–41

    Article  Google Scholar 

  23. Bertsekas D P, Bertsekas D P. Dynamic Programming and Optimal Control (Vol.1, No.2). Belmont, MA: Athena Scientific, 1995

    MATH  Google Scholar 

  24. Chen Z, Mi C C, Xu J, et al. Energy management for a power-split plug-in hybrid electric vehicle based on dynamic programming and neural networks. IEEE T Veh Technol, 2014, 63: 1567–1580

    Article  Google Scholar 

  25. Murphey Y L, Park J, Kiliaris L, et al. Intelligent hybrid vehicle power control—Part II: Online intelligent energy management. IEEE T Veh Technol, 2013, 62: 69–79

    Article  Google Scholar 

  26. Murphey Y L, Park J, Chen Z, et al. Intelligent hybrid vehicle power control—Part I: Machine learning of optimal vehicle power. IEEE T Veh Technol, 2012, 61: 3519–3530

    Article  Google Scholar 

  27. Peng S. A generalized dynamic programming principle and Hamilton-Jacobi-Bellman equation. Stochastics & Stochastics Reports, 1992, 38: 119–134

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. School of Automobile and Energy Engineering, Yanshan University, Qinhuangdao, 066004, China

    LiPeng Zhang, RunSheng Zhang, JingChao Liu & LiQiang Wang

  2. School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China

    BingNan Qi

Authors
  1. LiPeng Zhang
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  2. BingNan Qi
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  3. RunSheng Zhang
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  4. JingChao Liu
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  5. LiQiang Wang
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Correspondence to LiPeng Zhang.

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Zhang, L., Qi, B., Zhang, R. et al. Powertrain design and energy management of a novel coaxial series-parallel plug-in hybrid electric vehicle. Sci. China Technol. Sci. 59, 618–630 (2016). https://doi.org/10.1007/s11431-016-6009-2

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  • DOI: https://doi.org/10.1007/s11431-016-6009-2

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