China’s SAMR Establishes NEV Dual-Runaway Risk Control System

Based on this technological achievement, two national standards developed by China have filled the gap in standards for the safety analysis of new energy vehicles.

China’s State Administration for Market Regulation (SAMR) announced that, targeting two major NEV safety pain points—”thermal runaway” (fire) and “speed runaway” (sudden acceleration, brake failure)—it organized domestic research forces to successfully establish and deploy a “dual-runaway” risk prevention and control technical system.

The system provides core technical support for China’s NEV safety regulation through end-to-end innovations in in-depth accident investigation, precise defect determination, and proactive risk prevention.

Accident Investigation

At the system’s core—in-depth accident investigation—the research team innovatively proposed a “dual-trace” fusion analysis method, overcoming limitations of traditional threshold approaches and simple on-site inspections to more accurately pinpoint root causes.

To date, this technology has been applied to 78 in-depth investigations (48 NEV fire accidents and 30 sudden runaway cases), significantly enhancing the accuracy and authority of cause determination.

Defect Determination

For defect determination, the system adopts a “data-evidence” integrated fire defect analysis method, combining big data pre-analysis with engineering experimental evidence to provide complete evidence chains for 9 fire defect investigations. This increased investigation efficiency by 214% and prompted manufacturers to recall 188,000 defective vehicles.

Additionally, the industry’s first “human-domain” coupled runaway defect determination technology supported identification of 3 runaway defects, prompting recalls of 1.125 million vehicles and potentially preventing 1,272 accidents. Together, these technologies have driven recalls of 1.313 million defective vehicles.

Proactive Prevention and Control

The system establishes an integrated “online warning + offline detection” proactive prevention mechanism.

Online, the “Smart NEV Supervision Cloud Platform” has connected real-time data from 5 automakers and 710,000 vehicles, enabling intelligent risk warnings. Offline, two industry-first special detection devices, including semiconductor leak detection, successfully warned and handled 103 high fire-risk vehicles, avoiding economic losses of 15.45 million yuan.

Based on these achievements, China formulated two national standards: “Pure Electric Vehicle Fire Defect Analysis Method” (GB/T 45415-2025) and “Automotive Regenerative Braking Function Defect Analysis Guide” (GB/T 45417-2025), filling gaps in NEV safety analysis standards.