Ionworks

8 resources

Three types of AI in battery R&D: classical ML, deep learning, and agentic workflows
Guide·Apr 22, 2026

Three types of AI in battery R&D: classical ML, deep learning, and agentic workflows

A practical guide to the three ways AI shows up in battery development today. Where classical ML and deep learning fit, what agentic AI actually means for simulation workflows, and how Ionworks supports all three.

Comparison of ECM, SPM, SPMe, and DFN electrochemical battery model types showing increasing physics fidelity
Guide·Apr 20, 2026

Electrochemical battery model types compared: ECM, SPM, SPMe, and DFN

A technical comparison of the four electrochemical battery model types in PyBaMM. Covers physics, parameterization cost, computational speed, degradation capability, and when to use each model for battery R&D.

Battery cycler data format comparison table showing column mappings across Maccor, Neware, BioLogic, and Arbin
Technical·Apr 15, 2026

Battery cycler data formats: a practical guide to Maccor, Neware, BioLogic, and Arbin

What each cycler actually writes to disk, where the parsing breaks, and how to normalize test data across brands. Based on the production parsers in the ionworksdata Python library.

PyBaMM and COMSOL battery simulation comparison showing DFN model discharge curves
Comparison·Apr 9, 2026

PyBaMM vs COMSOL for battery simulation: which fits your team?

A technical comparison of PyBaMM and COMSOL for battery modeling. Covers modeling scope, computational speed, parameterization workflows, and when each tool is the right choice for R&D teams.

Cell, module, pack, and BMS digital twin levels arranged on a fidelity ladder, with granularity decreasing and execution speed increasing from cell to BMS
Technical·Apr 7, 2026

Battery Digital Twin: Cell-Level vs System-Level Models

How to choose between cell-level and system-level battery digital twins. Four levels of fidelity mapped to the engineering decisions they actually serve.

Best Battery Lab Data Management Platforms Compared
Comparison·Mar 31, 2026

Best Battery Lab Data Management Platforms Compared

Compare five battery lab data management platforms on cycler format support, API extensibility, analytics depth, simulation readiness, and reproducibility. Ionworks, Voltaiq, Micantis, Batalyse, and AVL evaluated for R&D teams.

Battery Simulation Software Comparison for R&D Teams
Comparison·Mar 29, 2026

Battery Simulation Software Comparison for R&D Teams

Compare battery simulation software for R&D. Ionworks, Ansys, COMSOL, Gamma Technologies, Siemens, and PyBaMM evaluated by workflow fit for electrochemical modeling teams.

Battery Management System Simulation for Charging Strategy Validation
Technical·Mar 24, 2026

Battery Management System Simulation for Charging Strategy Validation

Physics-based simulation lets battery and BMS teams compare charging strategies, CC-CV, multistage, temperature-derating, model-based, across hundreds of operating conditions in hours instead of months on the bench. This guide covers the workflow from cell model parameterization through scenario sweeps, what internal states simulation reveals that bench testing can't, and how to evaluate tools for the job.