Skip to main content

Development of Control System for Automatic Mechanical Transmission of Battery Electric Bus

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7003))

  • 2211 Accesses

Abstract

Due to the advantages of high efficiency, zero emission and good drivability, the battery electric vehicles (BEVs) promise to be one of the best choices to replace the oil fueled vehicle. In this paper a solution for the development of a control system for AMT (Automatic Mechanical Trans-mission) equipped in battery electric bus is presented. The system is based on multi-layered architecture that includes two high-level layers and further subdivided into some low-lever layers. The standardized applications interfaces (API) are employed to implement the interlayer interaction. The modular design approach is used during the development process. The system is developed by C language and MATLAB/Simulink/Stateflow toolset and uses Real-Time Workshop tool to generated ANSI C source code. The system is reusable, extensible, and flexible. It is applied in the buses and on-road tests show its correctness, efficiency, reliability.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chan, C.C.: The state of the art of the electric and hybrid vehicles. Proc. IEEE 90(2), 247–275 (2002)

    Google Scholar 

  2. Zhang, C., Mao, Y.-z.: Pure Electric Bus is the Direction of Development of Urban Public Transport. Advanced Materials Industry 8, 54–55 (2007)

    Google Scholar 

  3. Xi, J.-q., Xiong, G.-m., Zhang, Y.: Application of automatic manual transmission technology in pure electric bus. In: IEEE Vehicle Power and Propulsion Conference, VPPC (2008)

    Google Scholar 

  4. Xiong, G., Xi, J., Zhai, Y., Hu, Y., Yang, Y., Chen, H.: Development of Pneumatically Automatic Mechanical Transmission for a Pure Electric Garbage Truck. In: Proceedings IEEE International Conference on Industrial Technology, pp. 1108–1112 (2010)

    Google Scholar 

  5. Wang, D., Nan, J., Sun, F.: The application of CAN communication in distributed control system of electric city bus. In: IEEE Vehicle Power and Propulsion Conference, VPPC (2008)

    Google Scholar 

  6. Li, D., Chen, J., Huang, R., Cheng, X.: CAN network-based vehicleboard information systems for pure electric vehicles (PEV). Journal of Huazhong University of Science and Technology(Nature Science Edition) 36(2), 17–21 (2008)

    Google Scholar 

  7. Zhou, N., Xie, H., Yan, Y., Zhu, D.: Development of Powertrain Controller Platform for Electric Vehicles Based on Abstraction layer Structure. In: IEEE Vehicle Power and Propulsion Conference, VPPC (2008)

    Google Scholar 

  8. Meehan, J.S.: Supporting ’design for re-use’ with modular design. Concurrent Engineering Research and Applications 15(2), 141–155 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, Hb., Lei, Yl., Zhang, Y., Zhang, Xl., Li, Yd. (2011). Development of Control System for Automatic Mechanical Transmission of Battery Electric Bus. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23887-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23886-4

  • Online ISBN: 978-3-642-23887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics