Skip to main content

VRLA Battery Management System Based on LIN Bus for Electric Vehicle

  • Conference paper
Advanced Technology in Teaching

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 163))

Abstract

A battery management system (BMS) based on the LIN-Bus was designed for the Valve Regulated Lead Acid Battery (VRLA). The VRLA BMS plays an important role as a vehicle power supply system which is part of the entire vehicle system. In order to improve the stability of various sub-systems inside the vehicle, VRLA parameters estimation, including current, voltage and temperature, are very important. However, due to lead-acid battery charging and discharging are a complex process of the electrochemical process. The VRLA BMS is consisted of a VRLA battery, a NI USB-8476 LIN transceiver manufactured by National Instruments(NI), a battery test system(BTS) and a high stability, high reliability ADuC7033 for which is high precision and rapid data acquisition ARM7 chip. The hardware design of sampling circuit, the whole VRLA BMS system structure, the software design of keil ARM7 and LabVIEW8.5 and LIN Bus communication were introduced for realtime on-line monitoring and controlling. Experimental results show that measurement is high credible and the error is within 1%. The BMS that was proposed by this paper can be used in Electric Vehicle(EV).

This work is supported by Natural Science Foundation Project of CQ CSTC (2008BB6084).

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cao, L., Wen, W., Zhou, S.: The Design and Realization of a Distributed Measure Control System for the Performance Test of Engine. In: Proceeding of the International Conference on Sensing, Computing and Automation, ISCCA 2006 (May 2006)

    Google Scholar 

  2. Yan, Z.: Influence of the charging mode on the performances of lead / acid batteries used for electrical vehicles. Batteries (6), 261–263 (2001)

    Google Scholar 

  3. Chiu, H.-J., Pan, P.-L., Yeh, W.-H.: A novel rapid charger of lead-acid batteries with energy recovery. In: Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2003, February 9-13, vol. 2, pp. 756–759 (2003)

    Google Scholar 

  4. Chan, C.C.C., Sun, F., Zhu, J.: Technology on Modern Electric Vehicles, pp. 238–239. Beijing Institute of Technology Press, Beijing (2002)

    Google Scholar 

  5. Wu, K.: Theory and Application on the CAN-bus. Beijing University of Aeronautics and Astronautics Press, Beijing (1996)

    Google Scholar 

  6. Singh, P., Reisner, D.: Fuzzy logic-based state-of-health determination of lead acid batteries. In: The 24th Annual International Telecommunication Energy Conference, pp. 583–590 (2002)

    Google Scholar 

  7. Cai, C.H., Du, D., Liu, Z.Y.: Battery state-of-charge(SOC) estimation using adaptive neuro-fuzzy inference system(ASFIS). In: The 12th IEEE International Conference on Fuzzy System, St. Louis, pp. 1068–1073 (2003)

    Google Scholar 

  8. Plett, G.: Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation. Journal of Power Sources 134, 277–292 (2004)

    Google Scholar 

  9. Zhu, Y., Han, X., Tian, G.: Research on estimation technology of traction battery SOC for electirc vehicle. Chinese Journal of Power Sources 24(3), 29–32 (2000)

    Google Scholar 

  10. Deweck, O.L.: Multiobjective Optimization: History and Promise. In: The Third China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, Invited Keynote Paper, GL2-2 (2004)

    Google Scholar 

  11. Miller, J.F., Thomson, P.: Cartesian Genetic Programming. In: Poli, R., Banzhaf, W., Langdon, W.B., Miller, J., Nordin, P., Fogarty, T.C. (eds.) EuroGP 2000. LNCS, vol. 1802, pp. 121–132. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  12. Liu, R., Zheng, S.Y., et al.: An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design. In: Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems, pp. 215–221 (2000)

    Google Scholar 

  13. Felder, R.M., Rousseau, R.W.: Elementary principles of chemical processes, 3rd edn., pp. 501–503. John Wiley & Sons press, New York (1978)

    Google Scholar 

  14. Lin, C., Qiu, B., Chen, Q.: A comparative study on power input equivalent circuit model for electric vehicle battery. Automotive Engineering 28(3), 229–234 (2006)

    Google Scholar 

  15. Buchmann, I.: Batteries in a portable world, 2nd edn., pp. 81–84. Cadex Electronics Inc. Press, Richmond (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Changhao Piao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Piao, C., Liu, Q., Huang, Z., Cho, C., Shu, X. (2012). VRLA Battery Management System Based on LIN Bus for Electric Vehicle. In: Zhang, W. (eds) Advanced Technology in Teaching. Advances in Intelligent and Soft Computing, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29458-7_105

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29458-7_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29457-0

  • Online ISBN: 978-3-642-29458-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics