We are eager to share the integration of the first sodium-ion battery, NaCr26700-MP3.0(A) from HiNa Battery, into the Batemo Cell Explorer!
With this sodium ion technology, plating as a major limiter of fast charging is avoided altogether.
Additionally, Na-Ion is more thermally stable than lithium-ion, allowing us to test the cell from +40 °C to -40 °C.
Sodium itself is a widely abundant raw material, which can be a cost effective and safer alternative to lithium.

The prismatic Blade C102F cell from BYD, as the name suggests, has a unique “blade-like” design that allows for efficient heat dissipation during charging and maximized space utilization on pack level.
As reported by BYD, this cell excels in safety. The blade design combined with the LFP cathode has shown impressive thermal stability, withstanding thermal runaway even after undergoing a nail penetration test.

We are excited to announce that V4Drive from Germany redefines performance limits!
The V4Drive V18650HP-30(A) surpasses all existing 18650s in our Cell Explorer with an impressive power density of 2.44 kW/kg.
And the V4Drive V21700UHP-26 sets a new record for cylindrical cells with an incredible power density of 3 kW/kg.

We’re thrilled to share that our latest measurements of the Farasis P79B3 reveal an impressive energy density of 323 Wh/kg.
This irrefutable demonstrates the advancing innovation in cell development, paving the way for enhanced performance and efficiency across various applications.
Want to dive deeper into the data behind the Farasis P79B3? Find the cell in our library!

We are thrilled to announce the addition of the high-power AMPACE 21700A cylindrical cell.
With an impressive gravimetric power density of 2.36 kW/kg and an energy density of 227 Wh/kg, the AMPACE cell provides interesting KPIs for high-performance applications. In our technology front of 21700 cells, it places between the Molicel P45B and VARTA V4Drive.

Benchmarking battery cells under realistic conditions is a major challenge.
However, as shown in the figure, if you have access to an entire library of physical, parametrized and validated models, you can identify the best cell within minutes for your application and KPIs. Consider the whole battery market with the Batemo Cell Explorer and simulate comparable performance data using our Batemo Cell Models.

Various degradation processes are taking place simultaneously in a battery cell, each with individual timescales and physico-chemical triggers. For this reason, battery aging is not an inter- or extrapolative problem and thus far unsolved in the community.
The characterization of losses alongside different trajectories of aging enables to elucidate how the cells age and why. Combined with physical cell modeling technology, this allows to precisely capture battery behavior at different aging states and forms the basis for a physical aging prediction model.

The key to unlocking peak performance of battery systems lies in the intricate dance of robust SOX estimators and a finely tuned operating strategy. It’s about extending battery life and enhancing user experience.
At Batemo, we believe that a valid plant model for software-in-the-loop methods is the golden ticket to comprehensively assess Battery Management Systems (BMS) functions across various operation conditions and battery aging states.

Local inhomogeneities can trigger aging and safety issues within a cell. But how do you detect and predict these critical hot spots and operating conditions? With the Batemo Cube Model.
It allows for custom discretization of the cell interior and subsequent simulative prediction of all relevant inner quantities. Identify and understand spatially resolved effects and derive optimal design solutions and cooling concepts – without lengthy measurements.