Innovative multi-domain modeling approach for future battery architectures

Lithium-Ion batteries represent the current standard of energy storage systems in mobile and stationary applications. Different requirements for a wide range of applications challenge the product development due to the high diversity of technologies and components. Fast changing properties of battery cell and system components lead to a demand for high adaptable and modular modeling approaches for product architectures. Connecting the product structure with the functions through various possible modeling domains such as electrical, thermal and mechanical modeling as well as linking them with the requirements increases battery engineering efficiency. Modeling the interconnections between components and functions as well as the assessment of the impact on cell and system level facilitates decision-making in development.

This publication describes, based on a simple and easy understandable modeling approach with a minimum of increased complexity in development, the high flexibility in domain modeling. The generic and high flexible system model of a battery system is characterized by the ability to add new sub models with defined interface sets. Starting with the analysis of the requirements, the specifications of the battery system is defined. Based on the generic product structure, each specification is linked to a component or component level. The resulting properties of the single components act as input parameter for the domains described before. Each domain model is linked to each other with the possibility of optimizing the overall system by small-stepped iterations resulting in a continuous optimization loop. In this poster the implementation of a cost model for 2nd-life applications is shown. The new information enables engineers to integrate 2nd-life knowledge in the development process of battery systems. An example is the cost breakdown of the 2nd-use of traction batteries for reuse, repurpose. Higher amount of simulated information values decreases the effort for decision making in early development stages. Goal and output of the system model is the configuration and properties of the battery system, extended with the expected revenues after the usage as a traction battery in electric mobility. The approach enables conventional cell-module-pack batteries as well as innovative battery architectures such as cell-to-x applications. Depending on the detail level of input parameters the complexity of the model is changing from basic calculation up to detailed system information. Further sub models will be investigated to enable new domains in the battery model.