Skip to main content
SpringerLink
Log in

Development of the Electric Vehicle AMT Control Strategy

  • Conference paper
  • First Online:
Proceedings of the FISITA 2012 World Automotive Congress

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 193))

  • 2853 Accesses

Abstract

Automatic mechanical transmission (AMT) is now widely used in electric vehicle (EV) to improve its performance. In this chapter different control strategies are proposed to deal with the characteristics of electric vehicle AMT system and its different working condition. And then the control strategy including shift schedule, driver’s intention interpretation, driving cycle recognition and frequent gearshift suppression was systematically researched and modeled with SIMULINK. After verified by Model-In-Loop (MIL) and Hardware-In-Loop (HIL) tests, the control strategy model was interpreted to C codes and used in real control unit, verified in vehicle test. Test results show that this control strategy’s performance can meet with the requirements of the AMT control system.

F2012-C03-025.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Huifang K (2008) Study on AMT Fuzzy Shifting Strategy and Realization. Proceedings of the IEEE international conference on automation and logistics Qingdao, China Sept 2008

    Google Scholar 

  2. Yuhai W, Jian S, Xingkun L (2004) Simulation of AMT autoshift process based on Matlab/Simulink/Stateflow. SAE TECHNICAL PAPER SERIES 2004-01-2055

    Google Scholar 

  3. Saeks R, Cox C (1999) Design of an adaptive control system for a hybrid electric vehicle. IEEE SMC ‘99 conference proceedings. 1999 IEEE internation, pp 1000–1005

    Google Scholar 

  4. Xi J, Ding H, Chen H (2009) Strategy of deactivated shift. Acta Armamentarii (3):257–261

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electric Vehicle Engineering Technology Research and Development Centre,China Automotive Engineering Research Institute, Chongqing, China

    Zhangzhen Deng, Haiyun Gan, Pengyi Deng, Rongming Shan & Liangyi Yang

Authors
  1. Zhangzhen Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haiyun Gan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pengyi Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rongming Shan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Liangyi Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhangzhen Deng .

Editor information

Editors and Affiliations

    Rights and permissions

    Reprints and permissions

    Copyright information

    © 2013 Springer-Verlag Berlin Heidelberg

    About this paper

    Cite this paper

    Deng, Z., Gan, H., Deng, P., Shan, R., Yang, L. (2013). Development of the Electric Vehicle AMT Control Strategy. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33744-4_27

    Download citation

    • DOI: https://doi.org/10.1007/978-3-642-33744-4_27

    • Published:

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-642-33743-7

    • Online ISBN: 978-3-642-33744-4

    • eBook Packages: EngineeringEngineering (R0)

    Publish with us

    Policies and ethics

    Search

    Navigation