A method and device for compensating thermal-electric characteristics of a heat storage device and the heat storage device

By combining the thermal-electric coupling equivalent circuit model and the dynamic neural network, the problem of inaccurate description of thermal characteristics in the modeling of thermal storage devices is solved, enabling real-time compensation and precise control of the operating status of the thermal storage devices, thereby improving system stability and energy efficiency.

CN122197535APending Publication Date: 2026-06-12XIAN THERMAL POWER RES INST CO LTD +1
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN THERMAL POWER RES INST CO LTD
Filing Date
2026-02-06
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing modeling methods for thermal storage devices cannot accurately characterize actual thermal features and cannot provide real-time compensation, resulting in poor control strategy precision and affecting operational stability and energy efficiency.

Method used

By combining the thermal-electric coupling equivalent circuit model and the dynamic neural network, and using the fractional-order non-Fourier heat conduction equation and the backpropagation algorithm, the thermoelectric dynamic characteristics of the thermal storage device are compensated in a coordinated manner, and real-time correction and compensation are performed using temperature field distribution data.

Benefits of technology

It improves the prediction accuracy of thermal storage devices, reduces the impact of thermal hysteresis and material aging on the model, realizes real-time correction and compensation of the operating status of thermal storage devices, and enhances system stability and energy efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122197535A_ABST
    Figure CN122197535A_ABST
Patent Text Reader

Abstract

The embodiment of the present disclosure provides a heat-electricity characteristic compensation method and device of a heat storage device and the heat storage device, wherein the method comprises the following steps: obtaining temperature field distribution data of the heat storage device at a current time and mapping the temperature field distribution data into an initial state vector; obtaining predicted heat response data at a target time by using a preset heat-electricity coupling equivalent circuit model; comparing the predicted heat response data with actual monitoring data of the heat storage device at the target time to obtain a state deviation vector; updating weight parameters of a dynamic neural network by using a back propagation algorithm, and outputting an operation compensation instruction for the heat storage device based on the updated dynamic neural network. The method provided by the present disclosure reduces the prediction error by using the heat-electricity coupling equivalent circuit model, and provides a more accurate model for the thermal characteristics of the heat storage device. Moreover, the real-time correction and compensation of the operation state of the heat storage device are realized, and the heat delay and material aging problems of the heat storage device are overcome.
Need to check novelty before this filing date? Find Prior Art