Skip to main content

Battery Life Cycle Management for Automatic Guided Vehicle Systems

  • Conference paper
Design for Innovative Value Towards a Sustainable Society

Abstract

Battery management for automatic guided vehicle (AGV) systems is important to reduce costs and increase the efficiency of the AGV systems. Valve-regulated lead-acid (VRLA) batteries, which are generally used in AGVs, should be charged at appropriate time intervals, to avoid the deterioration of batteries and to extend their lives. On the other hand, frequent charging affects the efficiency of AGVs. The cost of chargers, which determines the charging time of the batteries, should also be taken into account. It is not easy to select a proper battery management strategy that considers all these factors. To solve these problems, a battery management simulation is developed for evaluating battery related costs under various AGV operation modes and for designing battery management strategies. To verify its effectiveness, the simulation is applied to a body in white at the finishing line of an automobile manufacturing plant.

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 349.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Le-Anh, T., De Koster, M.B.M., (2006): A Review of Design and Control of Automated Guided Vehicle Systems, European Journal of Operational Research, 171, pp. 1-23.

    Article  Google Scholar 

  2. Ebben, M., (2001): Logistic Control in Automated Transportation Networks, Ph.D. thesis University of Twente.

    Google Scholar 

  3. Kaiser, R., (2007): Optimized Battery-Management System to Improve Storage Lifetime in Renewable Energy Systems, Journal of Power Sources, 168, pp. 58-65.

    Article  CAS  Google Scholar 

  4. Schiffer, J., Sauer, D.U., Bindner, H., Cronin, T., Lundsager, P., Kaiser, R., (2007): Model Prediction for Ranking Lead-Acid Batteries According to Expected Lifetime in Renewable Energy Systems and Autonomous Power-Supply Systems, Journal of Power Sources, 168, pp. 66-78.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Kawakami, T., Takata, S. (2012). Battery Life Cycle Management for Automatic Guided Vehicle Systems. In: Matsumoto, M., Umeda, Y., Masui, K., Fukushige, S. (eds) Design for Innovative Value Towards a Sustainable Society. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-3010-6_77

Download citation

Publish with us

Policies and ethics