Skip to main content

A Review on Hybrid Vehicle Powertrain Matching and Integrated Control Based on ECVT

  • Conference paper
  • First Online:
Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

Abstract

Powertrain Matching has a greater impact on dynamics, fuel economy, and emissions performance. In order to improve the Hybrid Vehicle efficiency and drive quality, and reduce the pollutions, taking electronic continuously variable transmission (ECVT) as the research object, we comprehensively analyzed the Vehicle Matching Theory, Integrated Control and Intelligent Calibration, and developed a road map for the current and future ECVT technologies: taking the engine power loss rate, fuel utilization, and purification rate of pollutants as the optimization objectives; matching the ECVT, Engine, Motor and Battery with Vehicle’s best working status; and establishing the ECVT Matching and Intelligent Calibration and Control Strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhang BS, Fu TJ, Zhou YS et al (2004) Matching of V-belt type continuously variable transmission with engine and its control strategy. J Jilin Univ: Eng Technol Ed 34(1):65–70 (in Chinese)

    Google Scholar 

  2. Kai JB, Zhang GG, Zhang M (2014) Analysis of impact of powertrain matching to engine exhaust temperature. Shanghai Auto 3:59–62

    Google Scholar 

  3. Luo Y, Sun DY, Qin DT, Hen R, Hu FB (2010) Fuel optimal control of CVT equipped vehicles with consideration of CVT efficiency. Chin J Mech Eng 46(4):80–84

    Article  Google Scholar 

  4. Zheng CH, Lim WS, Cha SW (2011) Performance optimization of CVT for two-wheeled vehicles. Int J Autom Technol 12(3):461–468

    Article  Google Scholar 

  5. Zhang YL (2005) Research of metal belt type continuously variable transmission speed electronic control systems and strategy. Hunan University, Changsha, p 3

    Google Scholar 

  6. Wang JX, Wang QN, Zhou YS, Wang XY (2009) Research on CVT speed ratio control based on external characteristic of engine. Autom Technol 10:1–4

    Article  Google Scholar 

  7. Zhang SP, Zhang YK, Wang QN, Zhang L (2010) Ratio control strategy of continuously variable transmission for ramp-driving working condition. J Jiangsu Univ: Nat Sci Ed 31(3):273–277

    MATH  Google Scholar 

  8. Zhang SP, Zhang YK, Wang QN, Zhang L (2010) CVT ratio control strategy optimization under non-steady working conditions. J Jilin Univ (Eng Technol Ed) 40(4):895–900

    Google Scholar 

  9. Jian L, Chau KT (2010) Design and analysis of a magnetic-geared electronic-continuously variable transmission system using finite element method. Prog Electromagn Res 107:47–61

    Google Scholar 

  10. Chau KT, Cheng M (2010) The new drive technology of electric vehicles, vol 4. China Machine Press, Beijing, p 195

    Google Scholar 

  11. Sweeting WJ, Hutchinson AR, Savage SD (2011) Factors affecting electric vehicle energy consumption. Int J Sustain Eng 4(3):192–201

    Article  Google Scholar 

  12. Sun DY, Zhuang JB, Qin DT, Liu ZJ (2010) Simulation on the control strategy of a new super-mild hybrid transmission system. J Mech Eng 46(1):37–42

    Article  Google Scholar 

  13. Xiao Q, Wang QF (2008) parameter matching method for hybrid power system of hydraulic excavator. China J Highw Transp 21(1):121–126

    Google Scholar 

  14. Yu YB, Wang QN, Wang JX, Zhao XX (2008) Parameter matching and optimization of on-board synergic electric power supply system of hybrid electric vehicle. J Jilin Univ (Engine Technol Ed) 38(4):764–768

    Google Scholar 

  15. Ji XJ, Li SJ, Fang ZD (2011) A research on the parameters matching for the powertrain of single-axle parallel HEV. Autom Eng 3(188–193):202

    Google Scholar 

  16. Majdi L, Ghaffari A, Fatehi N (2009) IEEE international conference on robotics and biomimetics, ROBIO 2009, p 842–847

    Google Scholar 

  17. Qin DT, Hu MH, Yang YL, Shu H (2008) Optimization of system efficiency for the mild hybrid electric vehicle with continuously variable transmission under the motor and engine combined working conditions. J Mech Eng 44(11):171–177

    Google Scholar 

  18. Xue DL, Li Q, Zhou YS (2010) Application of improved dynamic matrix control to speed ratio tracking of continuously variable transmission. Autom Eng 8:699–702

    Google Scholar 

  19. Nashed MNF, Wahsh S, Galal H (2010) Parallel hybrid electric vehicle performance under different road cycles. International conference on electric power systems, high voltages, electric machines, 2010, pp 44–49

    Google Scholar 

  20. Yin AD, Zhao H, Zhang H (2011) A study on the control strategy for hybrid electric bus based on fuzzy control and particle swarm optimization. Autom Eng 33(7):553–557

    Google Scholar 

  21. He R, Ma CG, Zhang Y, Xia JJ, Wu HX (2009) Study of fuzzy PID control for V-belt CVT based on genetic algorithm. Mach Des Manuf 5:202–204

    Google Scholar 

  22. Zuo YH, Xiang CL, Yan QD, Liu H, Li HC (2010) E-CVT control research based on nonlinear PID. J Mech Transm 34(4):10–12, 16

    Google Scholar 

  23. Zhang X, Song JF, Tian Y, Zhang X (2009) Multi-objective optimization of hybrid electric vehicle control strategy with genetic algorithm. J Mech Eng 45(2):36–40

    Article  Google Scholar 

  24. Liu G, Song DC, Chen HM, Chen M (2010) Modeling and control strategy of parallel hybrid system in hydraulic excavator. J Tongji Univ(Nat Sci) 38(7):1079–1084

    Google Scholar 

  25. Wang Z, Chau KT (2008) Anti-control of chaos of a permanent magnet DC motor system for vibratory compactors. Chaos, Solitons Fractals 36(3):694–708

    Article  Google Scholar 

  26. Wang Z, Chau KT, Cheng M (2008) A chaotic PWM motor drive for electric propulsion. IEEE Vehicle Power and Propulsion Conference, 2008

    Google Scholar 

  27. Wang Z, Chau KT, Jian LN (2008) Chaoization of permanent magnet synchronous motors using stator flux regulation. IEEE Trans Magn 44(11) (Part 2):4151–4154

    Google Scholar 

  28. Wang Z, Chau KT (2009) Control of chaotic vibration in automotive wiper systems. Chaos, Solitons Fractals 39(1):168–181

    Article  MATH  Google Scholar 

  29. Zhang Z, Chau KT, Wang Z, Li WL (2011) Improvement of electromagnetic compatibility of motor drives using hybrid chaotic pulse width modulation. IEEE Trans Magn 47(10):4018–4021

    Article  Google Scholar 

  30. Naik RD, Singru PM (2009) Establishing the limiting conditions of operation of magneto-rheological fluid dampers in vehicle suspension systems. Mech Res Commun 36(8):957–962

    Article  MATH  Google Scholar 

  31. Sheng YF, Yu SY, Gui WH, Hong ZN (2010) Efficiency optimization of permanent magnet synchronous motor for rail vehicles based on intelligent integrated control. J Cent South Univ Sci Technol 41(6):2252–2257

    Google Scholar 

  32. Xie CJ, Du CJ, Quan SH (2009) Hybrid power control system of fuel cell middle size bus. J Mech Eng 45(6):188–192

    Article  Google Scholar 

  33. Luo YG, Chen T, Zhou L, Zhou GQ, Li KQ (2010) Adaptive cruise control system of Besturn intelligent hybrid electric vehicle. Chin J Mech Eng 46(6):2–7

    Article  Google Scholar 

  34. Manzie C, Watson HC, Halgamuge S, Lim K (2006) A comparison of fuel consumption between hybrid and intelligent vehicles during urban driving. J Autom Eng 220(1):67–76

    Article  Google Scholar 

  35. Zhu DW, Xie H, Yan Y, Song ZL (2010) Control strategy dynamic optimization of the hybrid electric bus based on driving cycle self-learning. Chin J Mech Eng 46(6):33–38

    Article  Google Scholar 

  36. Chen ZH, Kiliaris L, Murphey YL, Masrur MA (2009) Intelligent power management in SHEV based on roadway type and traffic congestion levels. 5th IEEE vehicle power and propulsion conference, 2009, pp 915–920

    Google Scholar 

  37. Gonzalez VA, Renfrew A, Brunn P (2009) Application of the “contact convoy” concept to hybrid electric vehicles. IEEE Trans Veh Technol 58(1):39–47

    Article  Google Scholar 

  38. Sooraska P, Klomkarn K (2010) “No-CPU” chaotic robots: from classroom to commerce. IEEE Circuits Syst Mag 10(1):46–53

    Article  Google Scholar 

  39. Grizzle J (2009) Advances in discrete event, nonlinear, and stochastic systems modeling and control: a symposium in honor of Steven I. Marcus (conference reports). IEEE Control Syst Mag 29(5):120–122

    Article  Google Scholar 

  40. Bowen L, Gu, D, Hu, H (2010) Environmental field estimation of mobile sensor networks using support vector regression. 2010 International Conference on Intelligent Robots and Systems, IROS 2010—conference proceedings, pp 2926–2931, 2010

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guogeng Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, G. (2014). A Review on Hybrid Vehicle Powertrain Matching and Integrated Control Based on ECVT. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_107

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54927-4_107

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics