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.