The Ionworks Technical Guide provides in-depth documentation on battery modeling, parameter fitting, optimization, and calculations. This guide focuses on the mathematical foundations and scientific concepts underlying the Ionworks Pipeline.Documentation Index
Fetch the complete documentation index at: https://docs.ionworks.com/llms.txt
Use this file to discover all available pages before exploring further.
For Python code examples and API reference, see the Python Documentation.
Python Documentation
For hands-on code examples and detailed API reference. The links below are not exhaustive; see each site’s documentation for full details.Ionworks Python API
A Python client for interacting with the Ionworks API.
Ionworks Battery Parameter Pipeline
A library for parameterizing electrochemical battery models from
experimental data.
Ionworks Data Processing
A library for processing experimental data into a common format (Maccor,
Biologic, etc.) and loading processed data for use in other Ionworks
software.
PyBaMM
An open-source battery modeling framework co-developed by the Ionworks team,
offering powerful tools for electrochemical modeling and simulation.
Table of Contents
Batteries 101
Learn the fundamentals of lithium-ion battery science, from basic electrochemistry to system-level considerations.Fundamentals
How batteries work, electrode essentials, open circuit voltage, and reaction kinetics
Performance
Battery capacity, state of charge, internal resistance, and thermal behavior
Degradation
State of health, degradation mechanisms, SEI growth, lithium plating, and mechanical effects
Systems
Battery packs and battery management systems
Modeling
Understand the numerical methods and models used for battery simulation.Finite Volume Method
How PyBaMM discretizes PDEs into systems of ODEs and DAEs
Initialization & eSOH
Model initialization, electrode state of health, and initial concentrations
MSMR Model
Multi-Species Multi-Reaction thermodynamic model for OCP and diffusivity
Electrolyte Transport
The four binary-electrolyte transport properties and how they are measured
Pipelines
Parameter calculations, data fitting, and workflow orchestration.Calculations
How pipelines chain calculations to transform parameters
Direct Entries
Drop-in literature parameter sets, including electrolyte transport properties
Data Fitting
Estimating model parameters from experimental data
Optimization
Design optimization for battery performance targets.Design Optimization
Optimizing design parameters to achieve performance objectives
Reference
Terminology, conventions, and standards used throughout the documentation.Terminology & Standards
Battery modeling terminology and conventions used in Ionworks Pipeline