SGS – First AI-Powered Thermal Runaway Testing Solution for Energy Storage Batteries Launches
We are pleased to launch the first AI-powered automated thermal runaway testing system for energy storage batteries.
Working in collaboration with the Chongqing Energy College (CEC), SGS in China developed the solution to help address fire safety concerns around the rapid global growth of battery energy storage systems (BESS) in commercial, industrial and residential sectors.
Thermal runaway can cause uncontrollable increases in temperature and pressure within a battery cell leading to fires or explosions. Our test system aligns with ANSI/CAN/UL 9540A:2025 standard to assess thermal runaway fire propagation in BESS and provide essential data on potential risks during thermal runaway events.
The breakthrough solution, now in operation at our Chongqing Renewable & Advanced Energy Laboratory, leverages deep learning technology to customize the data processing of temperature, voltage, gas emissions, and combustion collected during tests. Our proprietary algorithms automatically adjust testing parameters, synchronously collect data in real-time, and employ computer vision based on deep learning models like Yolo, TensorFlow, ResNet, and VGG to detect smoke and fire occurrences, minimize manual intervention and enhance accuracy.
Walter Zheng, Connectivity & Products, SGS said:
Thermal runaway incidents, have become critical challenges in the industry and we are delighted to launch our fully automated testing solution which addresses the need for internationally accredited safety testing, faster certification turnaround, and improved test transparency.
“With automated data processing our customers benefit from faster access to market, reduced costs, and higher testing precision to ensure reduced risk and greater competitiveness.”
Key features of our thermal runaway testing system include:
- Full automation – centralized software controls all testing equipment, automates initialization, parameter adjustments, and data collection, freeing personnel from manual operations
- Smart detection and recording – advanced computer vision accurately identifies and logs smoke and fire events, ensuring reliable data
- Enhanced safety – automation reduces personnel exposure to hazardous conditions, ensuring laboratory safety
The Chongqing Renewable & Advanced Energy Laboratory successfully obtained the ISO/IEC 17025 accreditation in 2022, becoming the first lab in China accredited to offer testing services according to UL9540A standards.
Chongqing Energy College, established in April 2009, is a full-time non-governmental college that is approved by the Chongqing Municipal Government and filed by the Ministry of Education.
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SGS – First AI-Powered Thermal Runaway Testing Solution for Energy Storage Batteries Launches, source
