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.

We are thrilled to announce the addition of three new battery cells to the Batemo Cell Explorer, our ever-growing library of physical, parametrized and globally valid battery cell models. These include 18650 cylindrical cells from #Panasonic, #EVEEnergy and #DMEGC, all with energy densities greater than 600 Wh/l.
Stay tuned for more exciting additions, as we are committed to keep our library as comprehensive as it gets by frequently pushing updates with hot candidate cells.

Lithium plating is the showstopper for fast charging, causing rapid cell aging and safety risks. Since experimental plating detection is challenging, it often comes down to tedious cycling tests. The solution is getting access to the anode surface potential inside the cell under all operation conditions, which is the triggering quantity for lithium plating. And this is exactly what our physical, parameterized and validated model can do for you.