Battery simulation software

Ionworks Studio is a web-based battery simulation platform designed for research and development teams working on battery technology. The platform addresses the need for efficient analysis and optimization of battery designs by leveraging existing test data, enabling users to explore new designs without the necessity of building additional physical cells. Built by the creators of PyBaMM, Ionworks Studio brings electrochemical modeling expertise into a unified system that transforms battery test data into validated, parameterized models, design sweeps, and actionable engineering decisions.

The software provides a centralized, searchable system of record for battery measurements, automatically normalizing and linking data to cell specifications and experimental context. It natively ingests files from major cycler brands such as Maccor, Neware, Novonix, Arbin, BioLogic, and BasyTec, eliminating manual file conversion and metadata management. Ionworks Studio streamlines the process of fitting physics-based models to experimental data, allowing teams to create reusable parameterized models that ensure reproducibility and traceability across studies. These models can be used to run protocol-driven simulations—such as evaluating fast-charge strategies or assessing lithium plating risk—prior to committing time and resources to physical testing.

The platform supports optimization workflows where users can define engineering targets and systematically search for optimal cell designs or charging protocols, varying parameters like electrode thickness, porosity, or loading while managing constraints related to degradation and plating. All features are accessible through both a web interface and programmatically via a REST API and Python SDK, making the platform suitable for integration with automated systems and AI agents as well as human engineers.

Ionworks Studio is positioned as a specialized battery simulation tool rather than a generic simulation platform, emphasizing its understanding of battery data structures, models, and experimental protocols. It is used by teams in sectors such as automotive and advanced air mobility, enabling them to accelerate development cycles, make defensible engineering decisions earlier, and reduce reliance on time-consuming physical testing.