NOVUM makes batteries calculable.

Determining the condition of batteries is currently a major challenge in many industries. Therefore, state of charge and state of health reserves are often used. This means that batteries fall short of their actual capacity or are replaced earlier than is actually necessary. NOVUM technology allows you to change all that.

In its simplest form, you need nothing more than the data you already have from your batteries. This usually includes current, voltage and temperature values. NOVUM collects this data during operation and creates a digital model (digital twin) with the help of different neural networks. This model constantly learns and thus continuously improves. This allows the state of charge (SoC) and state of health (SoH) to be detected more precisely than with previous methods, and health forecasts under different load profiles can also be implemented. The only requirement is that your systems can connect online to the NOVUM data infrastructure.

If you want NOVUM battery monitoring to work offline or if the available data is incomplete, NOVUM uses a small, inexpensive form of the high-precision laboratory measuring method of impedance spectroscopy. A defined current is fed into the battery over a certain frequency range and the corresponding voltage response is recorded. This results in a characteristic curve (impedance spectrum), which, similar to an X-ray image, allows conclusions to be drawn about all relevant chemical states and changes within a battery. A battery’s state of charge, state of health, internal temperature and performance can be read from this curve by local evaluation. This also allows forecasts as well as charging and discharging recommendation to be implemented. Thanks to a patented technology, NOVUM can use impedance spectroscopy even when the battery is in use.

Since we are proficient in several online AI approaches as well as in battery condition detection via impedance spectroscopy and, if necessary, can combine them with each other, we remove the need for the currently common, cost-intensive ageing tests in the laboratory and can optimally adapt the implementation of your battery added value to your systems.