Learn more about our battery aging and lifetime models.
We simulate the aging and expected service life of batteries using mathematical functions that are parameterized based on empirically collected data.
The effect of all relevant stress factors on cycle and calendar aging, cell swelling, and electrolyte consumption is modeled.
A cycle detection algorithm enables online simulations in which calendar and cycle aging, as well as cell swelling and electrolyte consumption, are simulated in real time for dynamic usage profiles.
Based on the state of the art and our extensive experience, a mathematical function is created for each relevant stress factor that needs to be taken into account. In doing so, we take into account characteristics specific to cell chemistry and cell type.
The parameters for the functions of all relevant stress factors are determined using cell-specific test data collected under static conditions, as well as results from cell teardowns and post-mortem analyses.
We validate our models by comparing simulation results with test data for dynamic operating profiles.
Our methodology draws not only on test data but also on data from teardowns. This allows us, among others, to simulate electrolyte consumption for dynamic applications.
Our electrolyte consumption and cell thickness growth models allow for more precise predictions of the time of sudden death.
Using our innovative, modular modeling methodology, stress factors can be flexibly added or removed - depending on your requirements and the availability of test data.
Our mathematical-empirical approach makes it possible to simulate multi-year, dynamic usage profiles on an average laptop in less than a minute.
Model validations show a relative error of less than 10 % after simulating a full battery life cycle.
As more test data becomes available, we are gradually improving the accuracy of our methodology.
Optimize your product's thermal management to slow down battery aging and significantly extend its service life.
Implement operating strategies that extend the service life of your battery-powered products. Our models are here to support you.
Designing and engineering a battery system is a complex challenge. Incorporate insights from our cell swelling models into the design of your battery system to get the most out of it for your product and application.
Use our models to predict the battery life of your products in various customer applications. For example, simulate how battery life differs between hot-climate and cold-climate operations.
Please contact us for customized solutions and more information.
