The exact extract asks which technique can detect and diagnose battery thermal runaway risks. The correct answer is D. Cloud BMS+intelligent internal short circuit detection. Thermal runaway is normally caused by cell-level abuse, internal short circuit, overtemperature, overcharge, or progressive battery degradation. A normal rack controller, battery pack optimizer, or string PCS contributes to system operation and protection, but the specific risk-detection and diagnosis mechanism in the answer choices is Cloud BMS combined with intelligent internal short-circuit detection. Huawei’s battery safety materials emphasize intelligent sensing, real-time detection, early warning, and Cloud BMS-based analysis to identify internal short-circuit and thermal-risk conditions before escalation. Huawei also describes real-time battery-cell detection and rapid shutdown of short-circuit battery packs to prevent thermal runaway. Therefore, the correct option is the one that explicitly combines Cloud BMS analytics with intelligent short-circuit diagnosis. References: Huawei AI BMS and Smart String ESS safety documents.
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit