Charging safety early warning method and system for full life cycle of vehicle

Through real-time data acquisition and multi-dimensional data comparison and fuzzy logic analysis, the risk index during the charging process is calculated and the charging mode is dynamically adjusted, which solves the problem that existing systems cannot comprehensively consider multi-dimensional data of the battery, and realizes safety evaluation and efficiency optimization of the charging process.

CN119682592AActive Publication Date: 2025-03-25STATE GRID JIANGSU ELECTRIC POWER CO LTD TAIZHOU POWER SUPPLY BRANCH +1
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Patent Information

Application Number
CN202411861608.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-03-25
Estimated Expiration
2044-12-17

AI Technical Summary

Technical Problem

The existing charging warning system cannot comprehensively consider the multi-dimensional data of the battery, resulting in blind spots in the safety assessment of the charging process and failure to effectively optimize the charging efficiency, affecting the service life of the battery.

Method used

Data is collected in real time through battery cell-level sensors, multi-dimensional data comparison, fuzzy logic analysis and risk index calculation, accurately evaluate safety risks during the charging process, and dynamically adjust the charging mode according to the risk index.

Benefits of technology

Accurate safety assessment of the charging process and intelligent optimization of the charging mode are achieved, effectively preventing battery safety accidents, improving charging efficiency and extending battery life.

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Abstract

The invention relates to the technical field of vehicle intelligent monitoring, and particularly discloses a vehicle full life cycle-oriented charging safety early warning method and system, and the method comprises the steps: collecting real-time data through an electric core level sensor, and calculating voltage, temperature and current fluctuation coefficients, thereby obtaining a safety coefficient in a charging process; comparing the real-time data with historical data, judging the attenuation degree of the health state of the battery cell, and calculating an attenuation coefficient; a comprehensive risk index is calculated by comprehensively analyzing the safety coefficient and the attenuation coefficient, and then the risk level in the charging process is judged and divided into a high-risk mode and a low-risk mode; for a high risk level, early warning measures are triggered in time, such as sound or visual alarm, automatic charging stopping and the like; and under the condition of low risk, the charging strategy is optimized, the charging current and voltage are adjusted, the charging efficiency is improved, and the service life of the battery is prolonged.
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