Integrated direct current power supply remote online monitoring method and system
By processing the signal and analyzing the impedance characteristics of the battery operating data, the power estimation error is dynamically corrected, solving the problem of remaining power estimation deviation in DC power supply systems. This enables accurate assessment of battery health status and fault prediction, improving the system's operational reliability.
CN121741564BActive Publication Date: 2026-07-03YOSHIHIRO COMM EQUIP GRP CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YOSHIHIRO COMM EQUIP GRP CO LTD
- Filing Date
- 2025-12-31
- Publication Date
- 2026-07-03
Smart Images

Figure CN121741564B_ABST
Abstract
This invention relates to the field of DC power supply monitoring technology, and discloses an integrated remote online monitoring method and system for DC power supplies. The method includes collecting battery operating data and performing signal smoothing and noise reduction processing to obtain a basic battery impedance value; performing characteristic analysis based on the basic battery impedance value to determine impedance trend characteristics; if the impedance trend characteristics exceed a threshold, combining historical backtracking data and system load status to extract and judge the impedance deviation sequence, obtaining a health status assessment result; performing error fusion and deviation correction based on the health status assessment result to determine the remaining power data; generating a system status log based on the remaining power data, and updating power management parameters accordingly. This method can achieve dynamic capture of battery impedance changes and accurate correction of remaining power, significantly improving the monitoring reliability and adaptive management capability of the power supply system.
Need to check novelty before this filing date? Find Prior Art
Citation Information
Patent Citations
Lithium battery fault diagnosis system based on real-time impedance monitoring
CN121208667A
Battery state estimating device and battery state estimating method
JP2019117180A