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.