The goal is to create a modular and extensible software infrastructure that can support multiple modeling formulations and computer codes for simulation of battery performance and safety. The main guiding principles for the design of the framework are:
Flexibility
- Programing language-agnostic
- Supports multiple modeling approaches and codes
- Combines appropriate component models for problem at hand
- Supports integrated sensitivity analysis and uncertainty quantification
Extensibility
- Ability to add proprietary component models
Computational scalability from desktop to HPC platforms
- Portable and adaptable to various computer hardware architectures
The OAS infrastructure employs a modular design with strict interfaces, object-oriented data structures, and a lightweight backplane implemented in Python scripting language. This design is illustrated in [@Fig:oas-framework]. The framework services control the various software components through component adapters. The components update the battery state through state adapters. The battery state is the minimal digital description of the battery in space and time such that each simulation component can apply their respective physics models and advance in time from each state point to the next. The OAS framework, along with physics and support components and the adapters constitute the Virtual Integrated Battery Environment (VIBE).
{#fig:oas-framework width=4.0in}