js1tr3 / LIONSIMBA

A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control

LIONSIMBA - Lithium-ION SIMulation BAttery Toolbox

A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control

Consumer electronics, wearable and personal health devices, power networks, microgrids, and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion batteries. Their optimal design and management are important for safe and profitable operations. The use of accurate mathematical models can help in achieving the best performance. This page provides a parametrizable Matlab framework for battery design, simulation, and control of Li-ion cells or battery packs. Based on the well known, theory-based pseudo-two-dimensional (P2D) model, the framework has been coded by reformulating the set of PDEs describing the cell behavior into a set of DAEs. The time domain is left continuous, while the spatial domain is discretized according to the Finite Volume Method (FVM). The time-adaptive DAE solver IDA is used to solve the resulting set of DAEs.

Official Web Page

Connect to the official web page to get the latest news

http://sisdin.unipv.it/labsisdin/lionsimba.php

Authors

• Marcello Torchio
• Lalo Magni
• Bhushan R. Gopaluni
• Richard D.Braatz
• Davide M. Raimondo

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Citations

If LIONSIMBA Toolbox is used for research purposes, the authors would like to have it mentioned. Here below the necessary information can be found

• Title: LIONSIMBA: A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control

• Journal: The Electrochemical Society

• Volume: 163

• Number: 7

• Pages: A1192-A1205

• Year: 2016

Download here the BibTeX file

Read the Journal paper here

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Usage

Download the latest zip package of LIONSIMBA or clone the Git Repository using the following command

$ git clone https://github.com/lionsimbatoolbox/LIONSIMBA.git

Bugs report

Please feel free to use the 'issue' section on GitHub or write to

davide (dot) raimondo (at) unipv (dot) it

or

marcello (dot) torchio01 (at) ateneopv (dot) it

Changelog

Last Update 06/24/2017 - V 1.024 Released

• Feedback-based custom current profile
• New examples
• Handling of input current discontinuities
• Minor changes

Last Update 04/04/2017

• Minor fixes and bug corrections (thanks to Jeesoon Choi for pointing the bugs out)

Last Update 01/03/2017 - V 1.023 Released

• The code has been reorganized and some functions have been modularized for a better maintenance.
• Added support in the user's guide for the installation and configuration of the SUNDIALS Matlab interface.

Last Update 09/23/2016 - V 1.022 Released

• Added support for analytical Jacobian. LIONSIMBA is now able to derive automatically the analytical form of the Jacobian describing the P2D dynamics. This knowledge is the exploited from the integration process to speed up the resolution of the DAEs. (Thanks to Dr. Sergio Lucia and Prof. Rolf Findeisen for pointing us out the automatic differentiation provided by CasADi toolbox)
• Minor fixes in the examples.

08/27/2016

• Fixed bug in multicell simulation (Thanks to Chintan Pathak for pointing out the bug)

V 1.021b

• Fixed SOC calculation bug for Fick's diffusion
• Minor fixes