Following its successful A2 series funding, Eatron Technologies will be showcasing its intelligent software layer (ISL), integrated seamlessly with an Infineon Technologies microcontroller at the Advanced Automotive Battery Conference in Strasbourg.
Harnessing the power of AI, the ISL demonstrates an end-to-end solution, from edge to cloud, within an automotive battery management system (BMS). By integrating AI models at the edge and leveraging AWS cloud connectivity for monitoring and over-the-air updates, ISL empowers enhanced SoX (state-of-everything) accuracy and prediction capabilities.
This technology translates into benefits such as increased range, faster charging, prolonged battery life, and heightened safety. The company claims it gives significant cost savings, reduces warranty claims, and augments the resale value of EV batteries, driving the future of vehicle electrification forward.
Eatron’s ISL does this by unlocking the 5-10% of a battery’s capacity, that is traditionally dormant due to the pack operating within a predefined window, using Eatron Technologies’ advanced proprietary algorithms that provide best-in-class accuracy.
The technology achieves a consistent state-of-charge accuracy of ±1%, compared to an industry benchmark figure of around ±3%. The state-of-health algorithms are similarly precise, maintaining a ±2% accuracy throughout the lifetime of the battery, in contrast to an industry average figure of ±5%. With a clearer and more accurate picture of the state of the battery, it becomes possible to extract the maximum performance from it without exceeding the safety limits.
Its AI-powered approach to predicting the battery’s remaining useful life enables the reaction to changes within the pack and potentially even work around them, perhaps by deploying alternative usage profiles or charging strategies. As a result, this more accurate picture of a battery’s health allows the safe extension of the pack’s operational life, in some cases by as much as 25%.
Likewise, the AI diagnostics can boost safety, detecting fault conditions such as lithium plating, and can predict cell failures weeks before they occur, with 90% accuracy, zero false positives, and across all major battery chemistries, claims the company.
The company says that, as an intelligent software layer, this functionality can be deployed quickly and without the need for huge upfront investment. Even an existing fixed BMS can benefit, by deploying Eatron Technologies’ algorithms within the cloud to add an additional layer of functionality that would not be possible otherwise. Alternatively, it can be embedded into a complete hardware solution.
