Data analysis method and device for energy storage transmission micro-control module of new energy electric vehicle

Through the data analysis method of the energy storage and transmission micro-control module of new energy electric vehicles, multi-channel data is collected, filtered, synchronized and verified, key data sets are generated and out-of-sequence packets are tracked, which solves the problem of unstable data transmission under high-load conditions of new energy electric vehicles and improves the reliability and fault warning capabilities of the system.

CN120750798AInactive Publication Date: 2025-10-03BESITER CO LTD +1
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Patent Information

Application Number
CN202511230010.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-29
Publication Date
2025-10-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing new energy electric vehicles have problems with uneven bandwidth distribution, excessive cache load and high-frequency sampling redundancy in multi-channel data transmission under high-load conditions. As a result, extreme values ​​or boundary anomalies are easily overlooked, and data packet disorder or retransmission are difficult to detect in time, affecting fault tracing and system stability.

Method used

By collecting raw data and filtering it according to channel characteristics and vehicle operating conditions, key data sets are generated; cross-channel cache synchronization and timestamp and serial number difference verification are performed on key data sets to generate a consistency verification report; multi-dimensional packet tracking is performed on suspicious data packets to form a list of out-of-order packets, and finally correlation analysis is performed to output abnormal warnings.

Benefits of technology

It effectively retains extreme fluctuation information and accurately identifies data packet disorder and retransmission, enhancing the data transmission reliability and fault warning capability of the new energy electric vehicle energy storage system, and overcoming the problem of sequence disorder caused by uneven bandwidth allocation and cache redundancy that is difficult to detect in time.

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Abstract

The invention provides a data analysis method and device for an energy storage transmission micro-control module of a new energy electric vehicle, and the method comprises the steps: carrying out the time sequence collection and preliminary filtering of multi-channel original data of a vehicle, and obtaining a key data set; executing cross-channel dynamic cache synchronization by utilizing a bandwidth prediction feedback mechanism, and carrying out time sequence cross check on adjacent data packets to generate a consistency check report; performing multi-dimensional packet tracking on the suspicious data packets in the report to form a wrong-sequence packet list; and finally, mining a trigger condition which causes the generation of a wrong-sequence packet in the multi-level correlation analysis, and outputting an abnormal early warning result. According to the invention, through effective reservation of extreme fluctuation information and accurate identification of data packet disorder and retransmission under a high-load working condition, the defect that sequence disorder caused by non-uniform bandwidth distribution and cache redundancy is difficult to find in time is overcome; and the data transmission reliability and the fault early warning capability of the energy storage system of the new energy electric vehicle can be further enhanced.
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