Skip to main content

Advertisement

SpringerLink
Log in

Control strategies and optimization analyses of front-mounted parallel system

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

In order to recover and use the vehicle’s own braking energy as much as possible to improve fuel economy, reducing greenhouse gas emissions, this paper analyzes the braking characteristics of a certain type of heavy vehicle in the driving condition of the city, according to the structure characteristics of hydraulic hybrid system, the control strategies and processes of three working modes are proposed. By establishing the vehicle dynamic model, the simulation model was established on AMESim software, and the effect of control strategies on the performance of the whole machine were analyzed and optimized. The hardware and software system of the controller based on MATLAB/Simulink and dSPACE were developed, and the correctness of the control strategies and simulation analyses were verified by the road condition tests on the experimental prototype vehicle which was converted from a primitive heavy vehicle. Simulation and experimental results show that the proposed control policy parameters are reasonable. The hydraulic regenerative braking control strategies can reasonably distribute the ratio of hydraulic regenerative braking torque and the traditional friction torques, under the premise to ensure braking safety, the kinetic energy of the brake can be recovered and utilized efficiently, and it has good ride comfort.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26

Similar content being viewed by others

References

  1. U.S. Energy Information Administration. International Energy Outlook 2016. U.S. Energy Information Administration, Washington, DC (2016)

  2. Xin, W., Ji-hai, J.: Regenerative braking control strategy for wheel drive hydraulic hybrid vehicle. J. Jilin Univ. 9(6), 1544–1549 (2009)

    Google Scholar 

  3. Shen, W., Huang, H., Pang, Y., et al.: Review of the energy saving hydraulic system based on common pressure rail. IEEE Access 5, 655–669 (2017)

    Article  Google Scholar 

  4. Simon, B., Christine. E., Edward, U., et al.: Hydraulic hybrid systems for commercial vehicles. SAF Paper, 2007-O1-X150. (2007)

  5. Kim, Y.J., Filipi, Z.: Simulation study of a series hydraulic hybrid propulsion system for a light truck. SAE Paper, 2007-O1-X151. (2007)

  6. Lynn, A., Smid, E., Eshraghi, M., et al.: Modeling hydraulic regenerative hybrid vehicles using AMESim and Matlab/Simulink. Proceedings of SPIE The International Society for Optical Engineering. Orlando, FL, United states: [s. n.] , pp. 24–40 (2005)

  7. Matheson, P., Stecki, J.: Modeling and simulation of a fuzzy logic controller for a hydraulic-hybrid powertrain for use in heavy commercial vehicles. SAE Paper, No. 2003-O1-3275. (2003)

  8. Hiroki, S., Shigeruh, I., Eitaro, K., et al.: Study on hybrid vehicle using constant pressure hydraulic; system with fly wheel for energy storage. SAE Paper, No. 2004-01-3064. (2004)

  9. Boretti, A., Stecki, J.: Hydraulic hybrid heavy duty vehicles-challenges and opportunities. SAE Paper, No. 2012-01-2036. (2012)

  10. Fussner, D., Wendel, G., Wray, C.: Analysis of a hybrid multi-mode hydromechanical transmission. SAE Technical Paper, 2007-01-1455. (2007)

  11. Hui, S., Li-fu, Y., Jun-qing, J.: Hydraulic/electric synergy system(HESS) design for heavy hybrid vehicles. Energy 35(12), 5328–5335 (2010)

    Article  Google Scholar 

  12. Peng, D., Yin, C.L., Zhang, J.W.: Advanced braking control system for hybrid electric; vehicle using fuzzy control logic. SAE paper, No. 2006-01-3583. (2006)

  13. Lin, C.-C., Peng, H., et al.: Power management strategy for a parallel hybrid electric truck. IEEE Trans. Control Syst. Technol. 11(6), 839–850 (2003)

    Article  Google Scholar 

  14. Xin-hui, L.: The hydraulic hybrid energy saving in construction machinery. Constr. Mach. Digest 6, 19–22 (2010)

    Google Scholar 

  15. Jun-cheng, L., Jing-ping, L., Zhi-yu, H.: Fuel economy of a hydraulic hybrid vehicle. J. Central South Univ. 1, 80–86 (2011)

    Google Scholar 

  16. Zhi-sheng, Y.: Automobile theory. Mechanical industry publishing house, Beijing (2009)

    Google Scholar 

  17. Yu-hui, L., Ji-hai, J.: Performance of static-hydraulic flow coupled system with secondary regulation. J. Jilin Univ. 38(5), 1095–1100 (2008)

    Google Scholar 

  18. Shen, W., Mai, Y.: A new electric hydraulic actuator adopted the variable displacement pump. Asian J. Control 18(1), 178–191 (2016)

    Article  MathSciNet  Google Scholar 

  19. Zuo-wo, D., Dong-biao, Z.: Calculation and selection of a cars hydraulic accumulator in its regenerative energy braking system. Mech. Sci. Technol. Aerosp. Eng. 26(7), 926–930 (2007)

    Google Scholar 

  20. Tao, L.I.U.: JIANG Ji-hai. Regenerative braking for parallel hydraulic hybrid vehicle. J. Harbin Inst. Technol. 42(9), 1449–1553 (2010)

    Google Scholar 

  21. Dirck, M.E.: The evaluation and analysis of a power split hydraulic hybrid drivetrain. University of Missouri-Columbia (2003)

  22. Sun, H., Jiang, J.H., Wang, X.: Parameters matching and control method for hydraulic; hybrid vehicle with secondary regulation technology. Chin. J. Mech. Eng. 22(1), 57–63 (2009)

    Article  Google Scholar 

  23. Shen, W., Jiang, J.: Control strategy analysis of the hydraulic hybrid excavator. J. Franklin Inst. 352(2), 541–561 (2015)

    Article  Google Scholar 

  24. Shen, W., Su, X.: Controller design for network-based Markovian jump systems with unreliable communication links. Complexity 21(S2), 623–634 (2016)

    Article  MathSciNet  Google Scholar 

  25. Fu, Y.L., Qi, X.Y.: LMS Imagine. Lab AMESim system modeling and simulation reference manual. Press of Aeronautics and Astronautics University, Beijing (2011)

    Google Scholar 

  26. Lammert, M.P., Burton, J., et al.: Hydraulic hybrid and conventional parcel delivery vehicles’ measured laboratory fuel economy on targeted drive cycles. SAE Paper, No. 2014-01-2375. (2014)

Download references

Acknowledgements

This article is supported by “the Fundamental Research Funds for the Central Universities”; “National Natural Science Foundation of China (NSFC) (51405183)” and “Special research found of doctoral program of Ministry of Education (20130061120036)”, which I am here with acknowledge and sincere thanks.

Author information

Authors and Affiliations

  1. School of Mechanical Science and Engineering, Jilin University, Changchun, 130022, China

    Youquan Chen, Xinhui Liu, Xin Wang & Yanhong Song

Authors
  1. Youquan Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xinhui Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yanhong Song
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xin Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, Y., Liu, X., Wang, X. et al. Control strategies and optimization analyses of front-mounted parallel system. Cluster Comput 22 (Suppl 3), 5151–5163 (2019). https://doi.org/10.1007/s10586-017-1116-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-017-1116-9

Keywords

Search

Navigation