High-performance simulations of the pseudo-2D porous electrode theory (PET) model in Julia
- Built for efficient controls, parameter estimation, and other complex battery simulations using the rigorous PET model
- Runs a full charge or discharge with 301 DAEs in ~3 ms on a laptop with 1 MB total memory usage
- Includes thermal and aging modes
After installing Julia, run the following command to add the PETLION package
import Pkg; Pkg.add("PETLION")To get started, we recommend checking out the list of examples. To simulate a constant current-constant temperature-constant voltage (CC-CT-CV) fast charge, run the following:
using PETLION
p = petlion(LCO; temperature=true)
sol = simulate(p, I=4, SOC=0, V_max=4.1, T_max=40+273.15)
simulate!(sol, p, dT=:hold, V_max=4.1)
simulate!(sol, p, V=:hold)
julia> PETLION simulation
--------
Runs: I → dT → V
Time: 1865.61 s
Current: 0.1959C
Voltage: 4.1 V
Power: 23.47 W/m²
SOC: 1.0
Temp.: 25.6963 °C
Exit: Above max. SOC
- Marc D. Berliner – Creating and maintaining the code
- Richard D. Braatz – Technical oversight
- Richard B. Canty – Designing the PETLION logo
If you use PETLION in your work, please cite the paper:
@article{berliner2021petlion,
title={Methods---{PETLION}: Open-Source Software for Millisecond-Scale Porous Electrode Theory-Based Lithium-Ion Battery Simulations},
author={Berliner, Marc D and Cogswell, Daniel A and Bazant, Martin Z and Braatz, Richard D},
journal={Journal of The Electrochemical Society},
volume={168},
number={9},
pages={090504},
year={2021},
publisher={IOP Publishing}
}This work was supported by the Toyota Research Institute through the D3BATT Center on Data-Driven-Design of Rechargeable Batteries.
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