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更新时间 2026-11-15 00:05:44
Simulation OS: Online Battery Simulator for R&D Teams | Ionworks
Accelerate your battery innovation.
How the system fits together
A platform built around the engineering question, not the infrastructure underneath it. Four layers, one purpose: better battery decisions, faster.
Battery programs ship on time when answers arrive before timelines lock. The Simulation OS exists to replace months of cycler campaigns with simulation studies that close the same questions in hours, with the same physical fidelity.
Engineers work in a browser interface designed for the questions they actually have to answer. No infrastructure to manage, no models to debug, no parameter files to chase. Decisions move from spreadsheet review to simulation results.
Cycler data ingestion, physics model parameterization, simulation orchestration across hundreds of runs, and AI agents that surface what changed. The pipeline is the part teams used to build themselves; it now ships with the platform.
Test data, material properties, design parameters, parameterized models, and simulation outputs live in one connected store. Every result links back to the inputs that produced it, so an answer six months from now is still an answer.
Four stages connect cycler data to engineering decisions. Each one stands on its own. Together they form the Simulation OS.
Interactive visualizations make Ionworks Studio the system of record, turning electrochemical data into shared insight that links experiments, models, and decisions end-to-end.
An intuitive visual modeling and parameterization pipeline that allows teams to build, inspect, and evolve models directly from experimental data without writing code.
Run high-fidelity battery simulations through a straightforward interface for performance, degradation, and lifetime predictions across teams.
Studio's optimization interface makes it easy to validate design decisions, enabling teams to explore trade-offs, apply constraints, and converge on optimal cell designs with confidence.
From cycler imports to parameterized models to design sweeps, walk through the full workflow with our team.
The battery data and simulation layer.
Built by the creators of PyBaMM
© 2026 Ionworks Technologies Inc.
How the system fits together
A platform built around the engineering question, not the infrastructure underneath it. Four layers, one purpose: better battery decisions, faster.
Battery programs ship on time when answers arrive before timelines lock. The Simulation OS exists to replace months of cycler campaigns with simulation studies that close the same questions in hours, with the same physical fidelity.
Engineers work in a browser interface designed for the questions they actually have to answer. No infrastructure to manage, no models to debug, no parameter files to chase. Decisions move from spreadsheet review to simulation results.
Cycler data ingestion, physics model parameterization, simulation orchestration across hundreds of runs, and AI agents that surface what changed. The pipeline is the part teams used to build themselves; it now ships with the platform.
Test data, material properties, design parameters, parameterized models, and simulation outputs live in one connected store. Every result links back to the inputs that produced it, so an answer six months from now is still an answer.
Four stages connect cycler data to engineering decisions. Each one stands on its own. Together they form the Simulation OS.
Interactive visualizations make Ionworks Studio the system of record, turning electrochemical data into shared insight that links experiments, models, and decisions end-to-end.
An intuitive visual modeling and parameterization pipeline that allows teams to build, inspect, and evolve models directly from experimental data without writing code.
Run high-fidelity battery simulations through a straightforward interface for performance, degradation, and lifetime predictions across teams.
Studio's optimization interface makes it easy to validate design decisions, enabling teams to explore trade-offs, apply constraints, and converge on optimal cell designs with confidence.
From cycler imports to parameterized models to design sweeps, walk through the full workflow with our team.
The battery data and simulation layer.
Built by the creators of PyBaMM
© 2026 Ionworks Technologies Inc.
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