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This chapter focuses on validating the short-term power management strategy for shipboard energy storage systems (ESSs) via model-based design (MBD) testing frameworks, including model-in-the-loop (MiL), software-in-the-loop (SiL), processor-in-the-loop (PiL), hardware-in-the-loop (HiL), and power-hardware-in-the-loop (PHiL) simulations. A HiL real-time simulator and PHiL experimental prototype are established to verify the proposed strategy under diverse navigation scenarios: open waters, restricted waters, radar scanning, and dynamic positioning (DP). The results demonstrate that the strategy effectively mitigates DC voltage sags (voltage fluctuation range stabilized at 1420.7–1559.1V), compensates for battery power deficiencies, reduces fuel consumption by up to 15.7% and emissions by 16.8%, and minimizes internal energy flows by 75.65% at most. It adapts to varying ambient temperatures and battery health levels (SOH), ensuring lithium-ion batteries (LiBs) operate within safe power ranges while achieving fast voltage response (adjustment time 0.08s) and reducing power mismatches. This validation confirms the strategy’s reliability and effectiveness for harsh marine environments.

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Short-term Power Management Strategy: Validation and Analysis

  • 章节

  • 发表日期：

    2026年

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  • Yingbing Luo,
  • Sidun Fang

摘要

This chapter focuses on validating the short-term power management strategy for shipboard energy storage systems (ESSs) via model-based design (MBD) testing frameworks, including model-in-the-loop (MiL), software-in-the-loop (SiL), processor-in-the-loop (PiL), hardware-in-the-loop (HiL), and power-hardware-in-the-loop (PHiL) simulations. A HiL real-time simulator and PHiL experimental prototype are established to verify the proposed strategy under diverse navigation scenarios: open waters, restricted waters, radar scanning, and dynamic positioning (DP). The results demonstrate that the strategy effectively mitigates DC voltage sags (voltage fluctuation range stabilized at 1420.7–1559.1V), compensates for battery power deficiencies, reduces fuel consumption by up to 15.7% and emissions by 16.8%, and minimizes internal energy flows by 75.65% at most. It adapts to varying ambient temperatures and battery health levels (SOH), ensuring lithium-ion batteries (LiBs) operate within safe power ranges while achieving fast voltage response (adjustment time 0.08s) and reducing power mismatches. This validation confirms the strategy’s reliability and effectiveness for harsh marine environments.