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Multi-parameter impact analysis of the liquid-cooled battery cold plate in island wind-solar-tidal energy storage system based on fuzzy grey correlation analysis

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  • Song, Xinyu
  • E, Jiaqiang
  • Huang, Yuxin
  • Tan, Si

Abstract

In this work, the thermal performance of lithium battery storage device under liquid cooling strategy is investigated to be affected by various factors in the integrated island wind and tidal storage power generation system. The effects of cold plate runner structure (P1-P4), cold plate thickness (3–6 mm), coolant inlet temperature (20–25 °C) and flow rate (0.1–0.8 m/s) on the heat dissipation performance of the battery pack were numerically investigated by modeling the liquid cooling of the battery pack. The results show that the serpentine runner cold plate has the best heat dissipation performance but the largest pressure drop compared to other runner shapes. Leaf-vein shaped runner cold plate is second only to serpentine runner in heat dissipation performance and has the lowest pressure drop. The inlet and outlet positions have an effect on the thermal performance of parallel runners Increasing the thickness of the cold plate reduces the maximum temperature, maximum temperature difference and pressure drop of the battery pack. The flow rate can be preferentially adjusted to control the pressure drop, and the thermal performance can be improved mainly by optimizing the inlet temperature. The effects of coolant inlet temperature, flow rate and cold plate thickness on the thermal performance of the battery pack were compared by orthogonal experiments and grey correlation analysis. The results show that when the thickness of the cold plate is 4 mm, the coolant inlet temperature is 25 °C, and the flow rate is 0.5 m/s, the comprehensive performance is the best.

Suggested Citation

  • Song, Xinyu & E, Jiaqiang & Huang, Yuxin & Tan, Si, 2025. "Multi-parameter impact analysis of the liquid-cooled battery cold plate in island wind-solar-tidal energy storage system based on fuzzy grey correlation analysis," Energy, Elsevier, vol. 333(C).
    • Handle: RePEc:eee:energy:v:333:y:2025:i:c:s036054422502955x
    DOI: 10.1016/j.energy.2025.137313
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