Learn PyBaMM: Battery Modeling and Simulation with Python
Learn PyBaMM with Python to simulate lithium-ion battery performance, analyze charging and discharging behavior, explore battery models like SPM and DFN, visualize simulation results, and understand battery degradation.
Build practical skills in battery modeling and simulation for battery engineering and research.
By Vashnavi -Mechanical Engineer & Master’s Student (Mechanical & Automotive Engineering), TH Ingolstadt, Germany
Beginner
Featured
Trusted By 30K+ Engineers
Essential Industry Tools
The Curriculum
System Setup
Course Intro
PyBaMM Basics
Python Setup
Setup Instructions
VS Code Setup
PDFs of System Setup
Basics
PyBaMM Code
Models
Experiments
Role of AI
Requirements
Basic knowledge of Python is recommended, including variables, functions, and loops.
Familiarity with NumPy and Matplotlib is helpful.
Basic knowledge of lithium-ion batteries, state of charge (SOC), and C-rate is beneficial but not mandatory.
A computer with Python installed and an internet connection to install PyBaMM.
What to expect from this course
Understand the fundamentals of PyBaMM and battery modeling.
Build lithium-ion battery simulations using Python.
Explore SPM, SPMe, and DFN battery models.
Simulate battery charging, discharging, and different operating conditions.
Visualize and analyze voltage, capacity, concentration, and temperature.
Customize battery models and parameters for different scenarios.
Explore battery degradation mechanisms, including SEI growth and lithium plating.
Complete practical projects to analyze battery performance and aging.
Build This Industry-Ready Skill Today!
This Course includes:
1 Week (2-3 Hours/Week)
Certificate of Completion
Quizzes & Knowledge Checks
Downloadable Resources & Notes
