面向多源异构数据融合的车辆ECU智能管控方法及系统
By constructing a dynamic coupling relationship matrix and optimizing the training model, key data streams in multi-source heterogeneous vehicle data are identified and prioritized, solving the real-time adaptability problem of vehicle data fusion and resource scheduling, and improving the real-time performance and reliability of the vehicle control system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN NO 5 INTELLIGENT NEW ENERGY CO LTD
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to perceive the dynamic coupling relationships between multi-source heterogeneous vehicle data in real time, leading to low data fusion efficiency and improper resource scheduling, which affects the processing of critical data streams and system reliability in complex driving scenarios.
By constructing a dynamic coupling relationship matrix, key data flows are identified and computing resources are allocated preferentially. The driving intention is judged and the needs are adjusted in combination with the influence of environmental factors. The resource scheduling strategy is updated, and a real-time adaptive control module management sequence is generated. The system reliability improvement index is obtained by optimizing the training model.
It enables precise and rapid response to critical data streams and optimal dynamic allocation of computing resources under complex operating conditions, thereby improving the real-time performance, adaptability, and overall reliability of the vehicle control system.
Smart Images
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