In recent years, with the rapid development of new energy vehicles and energy storage industries, the safety issues of lithium batteries have garnered significant attention. Accidents such as gas leakage and explosions triggered by thermal runaway not only threaten the lives of users but may also cause substantial property damage. Monitoring the composition of thermal runaway gases in real-time and accurately, and providing early warnings of risks, have become pressing challenges for the industry to address.
Jiangsu Fairman Safety Technology Co., Ltd., as a leading enterprise in the field of fire science and combustion testing in China, has officially launched a full-spectrum monitoring system for battery thermal runaway gases, leveraging years of technological accumulation and innovative breakthroughs. This system integrates triggering, detection, and analysis, ensuring the safety of lithium batteries throughout their entire lifecycle.
Technological innovation: from "passive response" to "active defense"
Traditional thermal runaway gas detection schemes have obvious shortcomings: offline detection data lags behind, the types of gases detected are limited, pressure changes cannot be tracked, and mechanical exhaust leads to concentration errors. However, Fairman's monitoring system, leveraging three core technologies, redefines industry standards:
Closed in-situ detection technology
Utilizing a high-pressure-resistant stainless steel sealed container (≥82L) directly connected to a Fourier Transform Infrared Spectrometer (FTIR), millisecond-level real-time online analysis is achieved. Dynamic pressure tracking (0.1MPa~3MPa) and a hydraulic-driven sealed design ensure overpressure protection and zero leakage in explosive scenarios, completely solving the data delay and concentration dilution issues of traditional solutions.
Full-spectrum gas composition analysis capability
It supports the simultaneous detection of over 400 types of gases and electrolyte vapors, covering a concentration range from ppm level to percentage level. Through professional analysis models and automatic compensation technology for interfering gases, it accurately analyzes complex gas components, breaking through the limitation of traditional solutions that can only detect 8-10 types of gases.
Intelligent control system
Equipped with Siemens PLC and HIOKI LR8450 data acquisition device, it monitors temperature, pressure, and gas concentration in real-time, automatically calculating the rate and total amount of gas production. The software interface visually displays data curves, providing efficient and stable automation solutions for laboratory and industrial scenarios.
Application scenario: Covering security needs across the entire industry chain
This system can be widely applied in various aspects of lithium battery research and development, production, quality inspection, and more:
Battery cell/module testing: Through real-time monitoring and analysis of various gas concentrations (such as hydrogen, carbon monoxide, etc.) and temperature, advanced algorithm models are utilized to accurately predict the trend of thermal runaway;
Battery pack safety verification: Utilize a smoke concentration data acquisition system to conduct detailed monitoring of the thermal runaway process of batteries under different cycle counts, with a focus on the concentration variation patterns of gases such as HF, providing data support for the optimization of new SEI film formulations;
Energy storage system early warning: Evaluate the toxicity index of smoke flow in container fires, assess the fire risk of energy storage systems, and block the accident chain in advance.
The battery thermal runaway gas full-spectrum monitoring system developed by Jiangsu Fairman has broken through the limitations of traditional solutions with core technologies such as millisecond-level real-time analysis, precise detection of over 400 gases, and intelligent control. It provides full-cycle protection for lithium battery safety, from research and development to application. Whether it's cell testing, battery pack verification, or energy storage system early warning, the system can make data-driven decisions, helping enterprises avoid risks in advance and enhance product safety levels.
