Imagine if you could know exactly how much life is left in every single cell of a used car battery. Instead of throwing the whole thing away, this tech acts like a health scan to find the strong parts and group them together. It's like sorting old Lego sets to build a new, smaller kit that still works perfectly for a different job.
Automotive OEMs face high costs and safety risks because they cannot predict the remaining life of used batteries, turning 70-80% of usable batteries into expensive industrial waste.
An analytic software platform and digital twin ecosystem that calculates battery health, capacity, and remaining cycles at the module level.
If you are an Automotive OEM dealing with the high cost of battery disposal and negative residual value — this project developed predictive analytics software that calculates remaining capacity and health. This allows you to re-pack batteries and turn industrial waste into assets with resale value.
If you are a battery operator dealing with unpredictable battery degradation — this project developed digital twin technology that monitors health in real-time. This allows you to adapt battery usage to their actual state of health and remaining lifetime.
If you are a recycling firm dealing with massive volumes of Li-ion waste — this project developed a method to identify usable modules. This eliminates the superfluous waste of resources by nearly 99%.
It transforms batteries from a waste expense into a commercial asset by predicting remaining charge cycles and capacity, allowing for re-packing and resale.
The software is designed to handle the projected demand of 1,525 GWh annually by 2030 through automated analytics and digital twin technology.
Based on available project data, the specific licensing terms are not disclosed, but the solution is developed as an analytic software platform by TWAICE.
The system uses digital twins to monitor batteries and perform health calculations up to four times faster than traditional tests.
The project period ran from 2022-10-01 to 2024-09-30, suggesting the core technology is now developed and ready for application.
The project is led by a single SME, TWAICE Technologies GmbH, with a 100% industry ratio. This lean structure indicates a highly focused commercial drive, avoiding academic delays and prioritizing a direct path to market deployment.
Contact TWAICE Technologies GmbH in Germany for licensing and integration inquiries.
Contact our analysts to explore integrating TWAICE predictive analytics into your battery value chain.
