New energy automobile charging safety regulation and control method and system

By using multi-dimensional perception and a dynamic safety boundary model, the charging current is adjusted in real time, which solves the problem that the fixed safety threshold in the existing technology is difficult to adapt to battery aging. This enables proactive predictive safety control of the charging process of new energy vehicles, improving charging efficiency and safety.

CN120942115APending Publication Date: 2025-11-14江苏思弦信息科技有限公司
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Patent Information

Application Number
CN202511389704.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-26
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Existing charging control strategies for new energy vehicles rely on fixed safety thresholds, making it difficult to balance charging efficiency with the actual safety boundaries of batteries at different aging stages. They also lack the ability to perceive complex dynamic changes within the battery, making it difficult to provide early warnings and proactively control potential safety hazards.

Method used

By using multi-dimensional sensing, battery health and state of charge information are collected, a multi-dimensional time series is constructed, statistical analysis and principal component analysis are performed, a dynamic safety boundary model is generated, and the charging current output is adjusted in real time to achieve proactive predictive charging safety control.

Benefits of technology

It improves the ability to monitor battery status, identifies potential risks before key parameters reach limits, improves the balance between charging efficiency and safety, and provides personalized safety protection strategies.

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Abstract

The invention relates to the technical field of charging control, in particular to a new energy automobile charging safety regulation and control method and system, and the method comprises the steps: collecting a multi-dimensional feature parameter set; acquiring battery health state and charge state information, and collecting multi-point temperature information on the surface of the battery; constructing the multi-dimensional feature parameter set into a multi-dimensional time sequence, performing statistical analysis on the multi-dimensional time sequence, and extracting dynamic feature indexes; performing structured fusion on the dynamic characteristic indexes, thermal field gradient parameters calculated according to multi-point temperature information and a multi-dimensional characteristic parameter set, and projecting the dynamic characteristic indexes, thermal field gradient parameters and the multi-dimensional characteristic parameter set to a key characteristic subspace through principal component analysis to obtain a charging response vector; generating a multi-dimensional security hyperplane through the dynamic security boundary model; continuously comparing the charging response vector with the multi-dimensional safety hyperplane, and calculating a safety margin scalar in real time; and inputting the safety margin scalar into the self-adaptive regulation and control model, and adjusting the charging current output. According to the invention, active predictive charging safety regulation and control are realized through multi-dimensional perception.
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