A high-power efficient charging safety defense method and system for electric vehicles

By constructing a unified data feature format for vehicle-charging network, identifying outliers, filling in missing values, using latent variable generation models and attention mechanisms to quickly identify abnormal battery states, and combining kernel density estimation and Latin hypercube sampling to generate a charging scenario library, digital-physical hybrid closed-loop control is implemented. This solves the safety and efficiency bottlenecks in high-power charging systems for electric vehicles, improves fault warning accuracy, and enhances the accuracy of power distribution network charging capacity assessment.

CN122275665APending Publication Date: 2026-06-26NANJING UNIV OF POSTS & TELECOMM +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-20
Publication Date
2026-06-26

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Abstract

This invention discloses a method and system for high-power, high-efficiency charging safety defense of electric vehicles, addressing issues such as insufficient collaborative control, significant data silos, and limited state prediction accuracy in existing electric vehicle safety charging technologies. The method first collects electric vehicle charging status and charging pile operation electrical data to achieve accurate learning and prediction of the power battery charging status. Second, based on the above operation status and prediction results, it effectively assesses the charging capacity of the power distribution network. Finally, it integrates the electric vehicle charging status and charging pile electrical data to perform a digital-physical hybrid closed-loop simulation, thereby implementing charging control and safety defense. The corresponding system includes a safe and efficient charging defense module, a real-time hardware-in-the-loop simulation platform, and an intelligent charging control unit. Through the above technical solutions, this invention effectively eliminates data silos, significantly improves state prediction accuracy and charging process efficiency, achieves safe and efficient operation of the vehicle-charging pile-grid collaboration, thereby optimizing user experience, reducing the operation and maintenance costs of charging facilities, and ensuring the safety and stability of the power distribution network.
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