Electrical Engineering
云边协同双模故障检测模块
Cloud-edge collaborative dual-modal fault detection blockA system architecture integrating cloud computing and edge computing to perform dual-modal fault detection on battery packs, enabling intelligent safety management in electric vehicle battery systems / 一种集成云计算和边缘计算的系统架构，用于对电池包进行双模故障检测，实现电动汽车电池系统的智能安全管理。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-08 16:05:30
Sub-knowledge points
Cloud computing: High-level data processing and storageEdge computing: Real-time local processingFault detection: Identification of battery anomaliesSafety management: Preventing thermal runaway and failure
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
Cloud-edge collaborative: Distributed computing paradigmDual-modal fault detection: Multi-sensor data fusion approachBattery pack: Energy storage unitElectric vehicle battery system: Application domain
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsA cloud-edge collaborative dual-modal fault detection block for battery packs: Enabling intelligent safety management in electric vehicle battery systemsOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Cloud-edge collaborative dual-modal fault detection block.
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