Comparison and Economic Analysis of Lithium-ion Battery Energy Storage Thermal Management System
|更新时间:2026-06-01
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Comparison and Economic Analysis of Lithium-ion Battery Energy Storage Thermal Management System
(2026)
作者机构:
1. .新型储能技术北京实验室(华北电力大学),北京市 昌平区,102206
2. .嘉实多(上海)管理有限公司,上海市 浦东新区,201206
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LI Weihang, SHI Qianlei, QU Tao, et al. Comparison and Economic Analysis of Lithium-ion Battery Energy Storage Thermal Management System[J/OL]. 2026.
DOI:
LI Weihang, SHI Qianlei, QU Tao, et al. Comparison and Economic Analysis of Lithium-ion Battery Energy Storage Thermal Management System[J/OL]. 2026.DOI:
Comparison and Economic Analysis of Lithium-ion Battery Energy Storage Thermal Management System
[Objectives] The energy storage thermal management technology is iterating rapidly
and the cooling method used by mainstream companies has recently transitioned from air cooling to indirect liquid cooling
while submerged liquid cooling technology is moving from demonstration to application. However
the advantages of immersion liquid cooling in economy and other aspects have not been discussed in depth. Therefore
this paper compares three common thermal management systems and compares the differences of different thermal management systems by selecting indicators such as weight/volume group efficiency
temperature rise/temperature difference and operation and maintenance process. [Methods] Based on the investigation of the energy storage system
an economic model was established to consider the characteristics of the energy storage thermal management system
including the impact of battery capacity attenuation
and compared the cost
net present value
dynamic investment payback period
and internal rate of return. The parameter sensitivity of the index was analyzed. [Results] Under long-term operation
the internal rate of return of the system applying immersion liquid cooling in the same scale energy storage power station increased by 3.2% compared with the indirect liquid cooling system and 9.1% compared with the immersion liquid cooling system
and it can maintain a stable rate of return in the case of market fluctuations. [Conclusions] The yield of energy storage systems is sensitive to the difference between peak and valley electricity prices
and the yield of submerged liquid cooling is more stable in the event of market fluctuations. The results can provide reference for the construction and operation of energy storage power stations.