Temperature and humidity control method for marine energy storage container

Through the combination of real-time monitoring and intelligent algorithms, the temperature and humidity control strategy is dynamically adjusted, which solves the shortcomings of temperature and humidity control of marine energy storage containers in harsh marine environments, and achieves more efficient and safer temperature and humidity management.

CN119717966APending Publication Date: 2025-03-28HEFEI ANSYS SEMICON CO LTD
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Patent Information

Application Number
CN202510160845.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-13
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The temperature and humidity control system of existing marine energy storage containers cannot effectively deal with the rapid changes in temperature and humidity in harsh marine environments, resulting in the possibility of lithium batteries being exposed to extreme environmental conditions, causing safety hazards.

Method used

The combination of real-time monitoring, intelligent algorithms and multi-level control is adopted, and the temperature and humidity control strategy is dynamically adjusted through the combination of sensor data and prediction models to deal with environmental changes and equipment load fluctuations in advance to avoid temperature and humidity exceeding the standard.

Benefits of technology

It significantly improves the accuracy and response speed of temperature and humidity control, reduces equipment failure rate, reduces operating costs, and ensures the safe and stable operation of the equipment.

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Abstract

The invention discloses a temperature and humidity control method for a marine energy storage container, and relates to the technical field of container temperature and humidity control, and the method comprises the following steps: monitoring the temperature and humidity in the container in real time, and obtaining the real-time environment parameters of the environment in the container through a sensor; through real-time monitoring, an intelligent algorithm and multi-level control, the system dynamically adjusts the temperature and humidity, and the accuracy and the response speed are improved. Different from traditional static setting, the system is combined with sensor data and a prediction model to cope with environment and load changes in advance, temperature and humidity are prevented from exceeding the standard, and equipment faults are reduced. The energy waste is reduced, the energy consumption distribution is optimized, the overall energy efficiency is improved, the cost is reduced, and the safe and stable operation of the equipment is ensured by a regionalized control and global optimization strategy.
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