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Investigating the Performance Capability of a Lithium-ion Battery System When Powering Future Pulsed Loads

Author

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  • Luke Farrier

    (Mechanical Engineering, University College London, London, WC1E 7JE, UK)

  • Richard Bucknall

    (Mechanical Engineering, University College London, London, WC1E 7JE, UK)

Abstract

The supply of pulsed power loads is considered a key driver for the integration of energy storage systems (ESSs) with warship power systems. ESSs are identified as a means to offer fast response dynamics capable of driving pulsed loads for sustained periods. This paper contributes a novel investigation into the performance of a Nickel Manganese Cobalt based lithium-ion battery system to supply laser directed energy weapon (LDEW) loads for future warship combat power systems using time-domain simulation methodology. The approach describes a second order Thévenin equivalent circuit battery model validated against a battery module of a type used in commercial marine ESS. The ability of the battery system to power LDEW loads peaking at 2 MW for up to periods of four minutes were simulated for beginning of life (BoL) and degraded conditions. The repeatability of the pulsed power supply with ESS is also reported. Simulation results show that Quality of Power Supply (QPS) is maintained within acceptable transient tolerance using a feed-forward control circuit that controls the DC-DC converter interface between the battery system and the LDEW load. The results of the study demonstrate the battery system operating envelope for the LDEW under investigation.

Suggested Citation

  • Luke Farrier & Richard Bucknall, 2020. "Investigating the Performance Capability of a Lithium-ion Battery System When Powering Future Pulsed Loads," Energies, MDPI, vol. 13(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1357-:d:332639
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    References listed on IDEAS

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    2. Yayuan Liu & Yangying Zhu & Yi Cui, 2019. "Challenges and opportunities towards fast-charging battery materials," Nature Energy, Nature, vol. 4(7), pages 540-550, July.
    3. Ximing Cheng & Liguang Yao & Yinjiao Xing & Michael Pecht, 2016. "Novel Parametric Circuit Modeling for Li-Ion Batteries," Energies, MDPI, vol. 9(7), pages 1-15, July.
    4. Alexandros Nikolian & Yousef Firouz & Rahul Gopalakrishnan & Jean-Marc Timmermans & Noshin Omar & Peter Van den Bossche & Joeri Van Mierlo, 2016. "Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion," Energies, MDPI, vol. 9(5), pages 1-23, May.
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