EPTTAS Detector:AI – prevent battery fires

Electrification of transport (including e-scooters and e-bikes) and other sectors (such as aviation, space and energy storage) holds tremendous promise. There are, however, overlooked hazards that come with it, most prominently battery fires, which are among the most costly and dangerous risks in electric fleets.

There is currently a lack of early warning systems, as existing battery management systems (BMS) and telematics don’t detect early-stage internal battery faults. They only provide surface-level data, leaving operators unable to see what is happening inside the battery cells.

Detector:AI picks up the early signals of a battery fire and completes a risk model process in real-time before sending the results directly to fleet operators, insurers and regulators.

AI enables notification of fire risk 60+ minutes before ignition and analyses 20+ key indicators to detect early signs of thermal runaway. Machine learning detects early-stage anomalies and microscopic risks that are difficult to catch manually.

Detector:AI is a software solution designed for seamless integration. It allows for customisation of real-time alerts for critical thresholds and also ensures automatic compliance with safety and sustainability standards.

Detector:AI protects all types of batteries and EV systems, including cars, trucks, buses, trains, planes, ships, battery energy storage systems (BESS) and other energy storage units.

In addition to battery fire prediction, the solution enables precise condition-based maintenance, extending battery lifespan, preventing breakdowns, and reducing replacement rate, downtime and service costs.

This in turn contributes to lower life cycle emissions and less battery waste, and supports safe second-life battery applications.

The IEA projects that the battery market will be worth about USD 330 billion by 2030. Meanwhile, the global EV market is expected to grow significantly, with some estimates as high as USD 1.6 trillion by 2030.

Detector:AI is designed for fleet operators, OEMs and battery manufacturers who need reliable, data-driven tools to manage battery health and safety and unlock long-term value.