一种基于边缘计算的电动汽车电池实时监测方法
By using edge computing nodes to perform real-time temperature distribution analysis on electric vehicle battery packs, the problems of real-time performance and accuracy of battery pack temperature monitoring are solved, dynamic adaptive thermal management is achieved, and the safety and lifespan of the battery pack are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- AIBU TECH (SHENZHEN) CO LTD
- Filing Date
- 2025-08-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electric vehicle battery pack temperature monitoring technologies suffer from large computational delays and poor real-time performance, making it difficult to accurately reflect internal temperature changes. This leads to inaccurate thermal management decisions, an inability to adapt to complex operating environments, and traditional methods cannot achieve dynamic adaptive thermal management control.
An edge computing-based approach is adopted, which divides the battery pack temperature data into multiple detection areas through edge computing nodes, calculates the average temperature value and gradient value, uses a temperature field estimation model to obtain the three-dimensional temperature distribution, dynamically calculates the charging power adjustment amount, and adjusts the heat sink power to achieve temperature adaptive control.
It improves the accuracy and real-time performance of internal temperature monitoring in battery packs, enabling early detection of overheating risks, reducing the probability of thermal runaway, enhancing safety and reliability, and extending battery pack lifespan.
Smart Images
Figure CN120816958B_ABST