Skip to main content
SpringerLink
Log in

Design Automation for Energy Storage Systems

  • Chapter
  • First Online:
Design Automation of Cyber-Physical Systems

  • 916 Accesses

Abstract

Electrical energy storage (EES) systems, specifically in the form of high power lithium-ion (Li-Ion) battery packs, are gaining more importance mainly due to the increased penetration of renewable energy sources and the rapid proliferation of electric vehicle (EV) technologies. Battery management is a critical functionality in an EES, which maintains safe operation and also improves the efficiency of the system. With the increasing number of applications using battery packs and the demand for shorter time to market, the system integration aspects are gaining more attention. This has resulted in a natural trend towards decentralization of the battery management system (BMS) where the sensing, computation, and control units are distributed close to each cell, providing a high degree of scalability and customization-free plug and play integration. However, there exist several open challenges in the development of such distributed systems that requires special set of design automation tools to be developed. One of the major requirements for accelerating the design of such decentralized BMSs is prototyping where custom hardware and software implementations are required to be developed increasing the overall design time and cost. To overcome this, in this chapter, we present a modular hardware/software development platform for decentralized BMSs that can be used for evaluating the functionality of different BMS circuit architectures, active cell balancing topologies, and decentralized battery management algorithms. All design files of our proposed development platform are made publicly accessible and can be easily reproduced thereby saving the effort and time required for developing custom prototyping platforms.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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. Wendel, J. (2018). Global average temperatures in 2017 continued upward trend. https://eos.org/articles/global-average-temperatures-in-2017-continued-upward-trend, January 2018. Last accessed 16 July 2018.

  2. Guardian. (2018). Met office warns of global temperature rise exceeding 1.5c limit. https://www.theguardian.com/science/2018/jan/31/met-office-warns-of-global-temperature-rise-exceeding-15c-limit, January 2018. Last accessed 16 July 2018.

  3. Shearer, C., Fofrich, R., & Davis, S. J. (2017). Future CO2 emissions and electricity generation from proposed coal-fired power plants in India. Earth’s Future, 5(4), 408–416.

    Article  Google Scholar 

  4. EPA. (2018). Inventory of US greenhouse gas emissions and sinks: 1990–2016 (pp. 1–655). Washington, DC: EPA.

    Google Scholar 

  5. Cazzola, P., Gorner, M., Munuera, L., Schuitmaker, R., Maroney, E., & Gorner, M. (2017). Global EV outlook 2017 (pp. 1–71). Paris: International Energy Agency.

    Google Scholar 

  6. Business Standard. (2015, December). Revenue loss of Rs 2,040 cr in Tamil Nadu due to backing down of wind power, says CAG. https://www.business-standard.com/article/economy-policy/revenue-loss-of-rs-2-040-cr-in-tamil-nadu-due-to-backing-down-of-wind-power-says-cag-115120800923_1.html. Last accessed 16 July 2018.

    Google Scholar 

  7. International Electrotechnical Commission. (2010). Electrical energy storage. IEC White papers and Technology reports (pp. 1–78).

    Google Scholar 

  8. Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013). A review on the key issues for lithium-ion battery management in electric vehicles. Journal of Power Sources, 226, 272–288.

    Article  Google Scholar 

  9. Brandl, M., Gall, H., Wenger, M., Lorentz, V., Giegerich, M., Baronti, F., et al. (2012, March). Batteries and battery management systems for electric vehicles. In Proceedings of Design, Automation Test in Europe Conference Exhibition (DATE) (pp. 971–976).

    Google Scholar 

  10. Narayanaswamy, S., Park, S., Steinhorst, S., & Chakraborty, S. (2018). Design automation for battery systems. In Proceedings of the International Conference on Computer-Aided Design (ICCAD’18) (pp. 27:1–27:7).

    Google Scholar 

  11. Andrea, D. (2010). Battery management systems for large lithium ion battery packs. Boston: Artech House.

    Google Scholar 

  12. Baronti, F., Fantechi, G., Roncella, R., & Saletti, R. (2012). Intelligent cell gauge for a hierarchical battery management system. In Proceedings of Transportation Electrification Conference and Expo (ITEC) (pp. 1–5). Piscataway: IEEE.

    Google Scholar 

  13. Steinhorst, S., Lukasiewycz, M., Narayanaswamy, S., Kauer, M., & Chakraborty, S. (2014, August). Smart cells for embedded battery management. In Proceedings of Cyber-Physical Systems, Networks, and Applications (CPSNA) (pp. 59–64).

    Google Scholar 

  14. Ci, S., Lin, N., & Wu, D. (2016). Reconfigurable battery techniques and systems: A survey. IEEE Access, 4, 1175–1189.

    Article  Google Scholar 

  15. Cao, J., Schofield, N., & Emadi, A. (2008, September). Battery balancing methods: A comprehensive review. In Proceedings of IEEE Vehicle Power and Propulsion Conference (VPPC) (pp. 1–6).

    Google Scholar 

  16. Moore, S. W., & Schneider, P. J. (2001). A review of cell equalization methods for lithium ion and lithium polymer battery systems. SAE Publication, 2001-01-0959.

    Google Scholar 

  17. Daowd, M., Omar, N., Bossche, P. V. D., & Mierlo, J. V. (2011, September). Passive and active battery balancing comparison based on MATLAB simulation. In Proceedings of IEEE Vehicle Power and Propulsion Conference (VPPC) (pp. 1–7).

    Google Scholar 

  18. Narayanaswamy, S., Kauer, M., Steinhorst, S., Lukasiewycz, M., & Chakraborty, S. (2017, March). Modular active charge balancing for scalable battery packs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25, 974–987.

    Article  Google Scholar 

  19. Plett, G. L. (2004). Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation. Journal of Power Sources, 134(2), 277–292.

    Article  Google Scholar 

  20. Chang, N., Faruque, M. A. A., Shao, Z., Xue, C. J., Chen, Y., & Baek, D. (2018). Survey of low-power electric vehicles: A design automation perspective. IEEE Design Test, 35(6), 44–70.

    Article  Google Scholar 

  21. Hardware/software design files of the smart cell development platform. (2015). https://github.com/Swaminara/Smart-Cell-Development-Platform.git.

  22. Pascual, C., & Krein, P. (1997, February). Switched capacitor system for automatic series battery equalization. In Proceedings of Applied Power Electronics Conference (APEC) (Vol. 2, pp. 848–854).

    Google Scholar 

  23. Fukui, R., & Koizumi, H. (2013, November). Double-tiered switched capacitor battery charge equalizer with chain structure. In Proceedings of Annual Conference of IEEE Industrial Electronics Society (IECON) (pp. 6715–6720).

    Google Scholar 

  24. Baughman, A., & Ferdowsi, M. (2008, June). Double-tiered switched-capacitor battery charge equalization technique. IEEE Transactions on Industrial Electronics, 55, 2277–2285.

    Article  Google Scholar 

  25. Kauer, M., Naranayaswami, S., Steinhorst, S., Lukasiewycz, M., Chakraborty, S., & Hedrich, L. (2013, May). Modular system-level architecture for concurrent cell balancing. In Proceedings of Design Automation Conference (DAC) (pp. 1–10).

    Google Scholar 

  26. Lukasiewycz, M., Steinhorst, S., & Narayanaswamy, S. (2014). Verification of balancing architectures for modular batteries. In Proceedings of the 12th International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2014) (pp. 1–10).

    Google Scholar 

  27. Kauer, M., Narayanaswamy, S., Steinhorst, S., Lukasiewycz, M., & Chakraborty, S. (2015). Many-to-many active cell balancing strategy design. In Proceedings of the 20th Asia and South Pacific Design Automation Conference (ASP-DAC 2015) (pp. 267–272).

    Google Scholar 

  28. Kutkut, N. H. (1998). A modular nondissipative current diverter for EV battery charge equalization. In Proceedings of Applied Power Electronics Conference (APEC) (Vol. 2, pp. 686–690).

    Google Scholar 

  29. L. Technology. (2013, April). LTC3300-1 high efficiency bidirectional multicell battery balancer. http://www.linear.com/product/LTC3300-1. Last accessed 16 July 2018.

    Google Scholar 

  30. Labrosse, J. J. (2011). uC/OS-III: The real-time kernel for the STM32 ARM Cortex-M3. Micrium.

    Google Scholar 

  31. Steinhorst, S., Kauer, M., Meeuw, A., Narayanaswamy, S., Lukasiewycz, M., & Chakraborty, S. (2016). Cyber-physical co-simulation framework for smart cells in scalable battery packs. ACM Transactions on Design Automation of Electronic Systems (TODAES), 21, 1–26.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Technical University of Munich, Munich, Germany

    Swaminathan Narayanaswamy, Sebastian Steinhorst & Samarjit Chakraborty

  2. Technical University of Berlin, Einstein Center Digital Future, Berlin, Germany

    Sangyoung Park

Authors
  1. Swaminathan Narayanaswamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sangyoung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sebastian Steinhorst
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Samarjit Chakraborty
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Swaminathan Narayanaswamy or Samarjit Chakraborty .

Editor information

Editors and Affiliations

  1. University of California, Irvine, Irvine, CA, USA

    Mohammad Abdullah Al Faruque

  2. Siemens Corporate Technology, Princeton, NJ, USA

    Arquimedes Canedo

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Narayanaswamy, S., Park, S., Steinhorst, S., Chakraborty, S. (2019). Design Automation for Energy Storage Systems. In: Al Faruque, M., Canedo, A. (eds) Design Automation of Cyber-Physical Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-13050-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-13050-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13049-7

  • Online ISBN: 978-3-030-13050-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation