Simulation model boost for battery development
Munich battery analytics company Twaice has launched a battery model library to speed up the development of battery systems.
The library contains numerous cells of different chemistries and formats with validated cell aging simulation models that increases the flexibility of licensing models. In addition, customers benefit from the holistic analytics platform that Twaice offers for the entire lifecycle, of which the models are one building block. The library contains models that simulate the electrical, thermal, and aging behaviour of frequently requested cells to facilitate battery development
The Twaice battery model library is a collection of electrical, thermal and aging cell simulation models that facilitates development by simulating instead of testing battery behaviour. The concept has evolved from years working with different customers, says the company. Many found conventional methods too time-consuming and have been looking for faster, more flexible development approaches.
The battery library can be deployed for a wide range of applications and use cases in the energy and mobility sectors. These include accelerating cell selection and system design, replacing lengthy testing cycles, and supporting BMS development and validation.
“We were overwhelmed by the positive feedback on our cell simulation models and have constantly improved the parametrization processes in order to deliver high quality models faster”, said Dr Michael Baumann, Twaice Co-CEO. “Customers want a variety of cells and they want them now. We are very happy to have reached the stage where we can offer just that.”
Battery cell characterisation models are either already part of the Twaice collection or can be requested by customers. These models are then parametrized in the Twaice on-premises testing facilities within three months. This significantly accelerates the development process and the resulting time-to-market. The gains in speed and quality are achieved by thoroughly optimizing the testing procedures and leveraging testing as well as field data.
This results in standardised and validated models that cover nearly all applications. Adaptations of the model or extensions of the validity range are available upon request, making the model library a flexible resource across the development cycle. There is also access to the majority of the library of cells and standardized cell data sheets, enabling customers to run a first and easy comparison.
Flexible licensing options move away from long-term and rigid arrangements with testing suppliers and modelling teams towards a concept that bills customers for the agreed rental period only. Customers who do not want their cells added to the library can also benefit as proprietary models are not made available to anyone else.
Customers using the model library during the development process can then get direct access to the full range of predictive battery analytics from the Twaice platform for prototype or series production with in-field data.
www.twaice.com
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