Changelog
Follow new updates and improvements to Ionworks.
Cycler Simulator v2.0
Today, we’re excited to release Version 2.0 of the Cycler Simulator!
Thanks to everyone who shared feedback and protocol files - it turns out protocol files come in all shapes, sizes, and edge cases! So we rebuilt the core to handle them all.
What’s new in v2.0:
✅ A redesigned UI with a more information, including a “human-readable” protocol preview
✅ A new state machine simulation engine that handles all protocol features such as loops, gotos, variables, resolutions, and more
✅ Simulate half cells with anode or cathode materials
✅ Support for Novonix UHPC protocols
Interpolant parameters
You can now define parameters like electrode OCPs as interpolants—just write or upload your table of data, and Ionworks Studio will automatically visualize it for you.
Whether you're using experimental OCP curves, fitted degradation functions, or custom diffusivity data, the plot helps you confirm it's being interpreted correctly. No more guessing if your interpolant is doing the right thing!
This makes it easier than ever to work with real-world data in battery simulations—especially for engineers who want quick feedback on the models they're building.
🔋 Shown here: a custom interpolant for LCO positive electrode OCP.
Earlier updates
- Bayesian Priors for ParameterizationYou can now incorporate insights from literature or lab data directly into your models using Bayesian priors—bringing more accuracy and confidence to your parameter estimation and uncertainty quantification. Smarter Modeling: Integrate expert knowledge with ease using Bayesian priors for more informed parameter estimation. Flexible Prior Types: Choose from normal or lognormal distributions, available in both univariate and multivariate forms—ideal for handling parameter collinearity. Better Inference: Achieve more robust and trustworthy results with enhanced support for uncertainty quantification. Plug-and-Play: Fully backward compatible and fits seamlessly into existing workflows.Parameterization Pipeline
- New Simulation DashboardWe’ve just launched a redesigned Simulation Dashboard, making it easier than ever to explore and visualize your simulation results. Whether you’re comparing dozens of runs or diving deep into one, the new dashboard adapts to your workflow. Key Features: Resizable & Reorderable Plots: Customize your layout to focus on what matters most. Multiple Dashboards per Dataset: Create different views for different questions—no need to rerun simulations. Smart Filtering: Set filters for each plot so new simulations that match your criteria are automatically included—no manual updates needed. This upgrade builds on all the existing plotting functionality you’re used to: Flexible Plotting: Visualize time series variables or aggregated metrics with ease. Overlays Made Easy: Compare multiple simulations on a single plot with automatic labeling. Whether you're running 1 or 100 simulations, your data just got a whole lot easier to navigate.Studio
- Parameter Validation ReportAfter parameterizing a model, one of the most important steps is validating how well it generalizes to real-world data. Ionworks now makes this step effortless with built-in support for parameter validation in the parameterization pipeline. Key Features: Easy Validation Setup: Pick your model and parameter set, upload one or more validation datasets, and let Ionworks handle the rest. Automated Model Runs: The selected model is automatically run against the validation data. Fit Quality Report: Quickly see how well the model fits each dataset with clear, visual feedback—no manual scripting required. This helps you catch overfitting, compare parameter sets, and build confidence in your model before moving on to design or optimization.Parameterization Pipeline
- Parameterization Config and CLIRunning and managing parameterizations just got a major upgrade. Ionworks now supports a standard configuration format and a command-line interface (CLI) to make large-scale, reproducible parameterization easier than ever. Key Features: Batch Parameterization: Run large sets of parameterizations across multiple datasets with a single config file. Experiment Management: Swap models, cost functions, optimizers, and hyperparameters without rewriting code—perfect for rapid iteration. Cloud Execution: Launch parameterizations on the cloud seamlessly, with full support for parallel runs. Configurations can be defined flexibly in JSON, YAML, or Python dictionaries, and executed either: Directly from Python, or From the Command Line Interface (CLI) This new tooling makes it easy to scale up your workflows and bring consistency to even the most complex parameterization experiments.Parameterization Pipeline
- Data LoaderClean, standardized data is the foundation of good modeling—but getting there can be a pain. Ionworks now includes robust data processing tools and a new Data Loader to streamline this entire workflow. Key Features: Flexible Ingestion: Load raw data from any cycler format—whether it's on your local machine or in the cloud (e.g., AWS S3). Targeted Loading: Select just the parts of the data you need, such as specific step numbers, time ranges, or cycles. Quick Visualization: Generate basic plots of the raw or processed data in one command. PyBaMM Experiment Generation: Automatically build a PyBaMM Experiment object that reproduces the uploaded data—ideal for model validation or parameter fitting. This makes it easier than ever to go from raw experimental data to simulation-ready input in minutes—not hours.Parameterization Pipeline
- Battery Cycler Simulator improvementsHere’s what’s new: More Flexible Simulations – You can now adjust chemistry, capacity, and initial SoC before running a simulation. Expanded Output Data – See total time, throughput capacity, and throughput energy for your simulated protocol. Improved Parsing Capabilities – We now support: - Drive cycles ("waveforms") - Temperature cutoffs ("thermocouple") - CCCV steps - Capacity-based termination
- Customize models in Ionworks StudioWe’ve revamped how you can add new models to Ionworks Studio Start from anywhere – create a model using an existing one, choose from a library of parameter values, or upload your own. Automated parameter extraction – required parameters are detected and grouped by component for clarity. Full parameter control – edit any parameter, including arbitrary Python functions, to fine-tune your models. This update makes it easier to compare different parameter sets and analyze the sensitivity of key values, helping you refine your models and extract deeper insights. Watch the video below for an example investigating the effect of reaction rate and diffusivity on the cell voltageStudio