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
Because Perun requires even as little as 300 cycles to build the ageing model, you can minimize the cost of testing your battery cells.
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.
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.
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.
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.
Forklift Rapid Charging Thermal Optimization
Customer profile: Green Cubes is an US company designing electric forklifts. We have used Q-Bat to help Green Cubes Technology optimize their forklift battery packs for optimal heat removal during rapid charging. The customer was seeking a solution to develop technology for fast charging in short bursts (so-called opportunity charging). We helped Green Cubes to find a cooling system that would allow batteries to be charged at 7.5C for 8 minutes. We simulated heat exchange in the battery assembly with several cooling system configurations.
Project challenge and Customer’s expectations:
- The client needed a cooling system design that would dissipate large amounts of heat without using a huge coolant pump. He also wanted several possible solutions with varying degrees of complexity.
Electric Aircraft Battery Cooling for Nuncats - case study
Customer profile: Nuncats CIC is a British aircraft company, providing electric aircraft transportation systems in order to replace the petrol engine and fuel tanks.
The electric aircrafts designed and built by Nuncats are based on batteries, supported by solar charging stations on the ground.
The aim is to provide cheap and sustainable transport to rural or remote areas (e.g. to deliver doctors, teachers and medical supplies in Africa), where the roads are unreliable and the conventional ways of transport would fail or it would be extremely expensive.
Together with Nuncats we worked on a project to ensure proper cooling of the battery pack in the aircraft. Using Q-Bat – our battery simulation software, we have analysed the battery pack in several phases of flight. This way we were able to check if the cooling fans were enough to keep the temperatures at desirable levels.
German Car Maker uses 3-D CFD for Vehicle Level Simulations
We have helped a German car maker bring Q-Bat to the simulation workflow. Q-Bat imports CFD meshes and generates a Simulink block for vehicle-level simulations. Still 3-D and very quick.
We first need to understand your technical need and your business objective. It allows us to suggest the right solution that is optimal for your engineering challenge and takes your budget into account.
Project co-financed by the European Union Funds POIR 2014-2020.