Why Perun?
Why Perun?

With Perun, we address issues common for battery pack manufacturers, battery cell manufacturers and OEMs alike. Everyone wants to know how long their battery will last, but the testing is very expensive and takes too much time. That’s why we have developed Perun – a tool that will predict your battery’s degradation with only minimum testing required – even as little as 300 cycles. 

Your Benefits

Save thousands of dollars
Save thousands of dollars

Because Perun requires even as little as 300 cycles to build the ageing model, you can minimize the cost of testing your battery cells.

Get results quickly
Get results quickly

Thanks to minimizing testing time, you can get your model much quicker than with standard ageing cycling. Once the model is built, the simulation time is less than a day.

Test multiple use-cases
Test multiple use-cases

As our models can simulate any current profile and are dependent on temperature, you can validate your battery for any use-case scenario quickly and without the need for any additional tests.

Validated accuracy
Validated accuracy

We have validated our workflow vs laboratory testing with 3000 cycles and for all our models we achieved an accuracy of 95% or higher.

How does Perun work?

  • We start with a short round of tests. Depending on the chemistry of your battery cells, we will need to do only 300 to 600 ageing cycles. We will need to do these cycles in at least two or preferably three temperatures to obtain the dependency of the model on the temperature. The tests can be done at your laboratory, or we can do them at our partner's laboratory.
  • When we have the test data, we use our algorithms to identify the electrochemical model of your battery cell. This will allow us to simulate the electric behaviour of the battery.
  • We finish by implementing three degradation models:
    • Loss of Active Material – it simulates loss of capacity due to cracking of the electrode
    • SEI Growth – this model simulates an increase in the internal resistance of the battery cell caused by the growth of the SEI layer
    • Loss of Lithium Inventory – with this model, we can simulate the loss of lithium ions due to the cracking of the SEI layer and its growth.
       
What do you get with Perun?
What do you get with Perun?

With Perun’s degradation models, you can simulate how your battery will behave as it ages with usage. You can simulate any electric current profile and see how it impacts your battery’s performance. Perun can give you information on parameters like:

  • Voltage response – see how much voltage your battery can provide
  • Capacity fade – check how long your battery will last with desired capacity
  • Power fade – find out if your battery will provide enough power for its entire lifespan
  • Increase in internal resistance – validate your thermal design on the aged battery as well
  • Loss of electrodes’ capacity – check how much lithium ions the electrodes can store

With these data, you’ll be able to validate your design and be certain that your battery will meet its requirements.

Complementary solution - Case Studies

Check also Q-Bat, our real-time modelling of an entire EV battery pack. Charging profile within a few minutes on a desktop computer. 3-D temperature distribution like a CFD solver. 
Q-Bat is used for applications in automotive industry, for electric aircraft battery modelling or power tools industry.
Electric bus, e-motorcycle, and forklift batteries are further examples of our customer projects.
Read our CASE STUDIES.

Intrigued? Contact us to get more details about the software!

Project co-financed by the European Union Funds POIR 2014-2020.