Ionworks

Simulate battery cycler protocols before running them on hardware. Upload Arbin, Maccor, Neware, BioLogic, or Novonix schedule files, run them against a cell model, and catch errors in minutes instead of months.

Ionworks gives battery R&D teams structured data management for cycling data, cell metadata, and test measurements in one system of record.

Ionworks gives battery R&D teams high-fidelity simulation for performance, degradation, and lifetime prediction, driven by real protocols and grounded in validated electrochemical models.

PyBaMM battery modeling at team scale. Ionworks gives battery R&D teams the data infrastructure and simulation management to turn open-source PyBaMM models into repeatable, traceable engineering workflows.

AC and DC internal resistance measure different battery physics. PyBaMM simulations show how ACIR and DCIR differ across SOC, temperature, and material parameters.

Insights on battery simulation, physics-based modeling, and electrochemistry from the Ionworks team.

A material can look excellent in a coin cell and still leave a finished cell short on energy density, charge rate, or lifetime. The gap between material-level results and cell-level performance is where most of the engineering work actually lives.

State of charge misrepresents time to empty for power-driven loads. PyBaMM simulations of an NMC811 cell decompose the two effects, energy weighting and load-induced early cutoff, and quantify how the SoC-to-SoE gap grows with discharge rate.

Compare PyBaMM and Batemo for battery simulation. Model transparency, parameterization workflows, the Batemo cell library, degradation, Simulink integration, and where Ionworks fits for battery R&D teams.

Compare PyBaMM and COMSOL for battery simulation. Modeling scope, DFN speed benchmarks, parameterization, degradation, and 3D coverage — and where Ionworks fits for battery R&D teams running PyBaMM in production.

Compare PyBaMM and GT-AutoLion for battery simulation. Electrochemical models, degradation mechanisms, GT-SUITE integration, parameterization workflows, and where Ionworks fits for battery R&D teams.

Ionworks is the team behind PyBaMM, building the Battery Simulation OS: the physics engine and data layer that lets AI models reason about real cells.

The battery data and simulation layer. Plan tests, sync cycler data live, and fit physics-based models from a browser or an API your agents can use.

How Ionworks Technologies Inc. collects, uses, and protects information from visitors to ionworks.com and users of the Ionworks app.

Terms governing use of ionworks.com and the Ionworks app. Paid subscriptions are governed by the Master Subscription and Services Agreement.

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Ionworks Technologies collaborates with NOVONIX Battery Technology Solutions to combine physics-based modeling with experimental data and materials expertise. The partnership aims to help engineering teams assess battery design trade-offs earlier and reduce development risk.

Feb 2026 · PR NewswireNews article

Ionworks achieves SOC 2 compliance, formalizing its approach to protecting battery simulation data through data protection, access controls, and deployment isolation. The company says compliance reports are available on request and sensitive customer data remains within each account boundary; the milestone supports adoption by battery and automotive R&D teams that require standard security practices before using a cloud-based simulation platform.

Jul 2025 · IonworksNews article

Ionworks appoints Liam Cooney as its founding commercial officer, adding nearly two decades of battery and energy software experience. Cooney previously served as Director of Validation at Northvolt and Senior Director of Sales and Solutions Engineering at Voltaiq, where he led customer deployments of battery analytics for cell makers and OEMs. He supports Ionworks’ go-to-market expansion as it scales its battery simulation platform for R&D teams.

May 2025 · IonworksNews article