@article{Torchio01012016,
author = {Torchio, Marcello and Magni, Lalo and Gopaluni, R. Bhushan and Braatz, Richard D. and Raimondo, Davide M.}, 
title = {LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control},
volume = {163}, 
number = {7}, 
pages = {A1192-A1205}, 
year = {2016}, 
doi = {10.1149/2.0291607jes}, 
abstract ={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 article provides a detailed description of a finite volume method (FVM) for a pseudo-two-dimensional (P2D) Li-ion battery model suitable for the development of model-based advanced battery management systems. The objectives of this work are to provide: (i) a detailed description of the model formulation, (ii) a parametrizable Matlab framework for battery design, simulation, and control of Li-ion cells or battery packs, (iii) a validation of the proposed numerical implementation with respect to the COMSOL MultiPhysics commercial software and the Newman’s DUALFOIL code, and (iv) some demonstrative simulations involving thermal dynamics, a hybrid charge-discharge cycle emulating the throttle of an HEV, a model predictive control of state of charge, and a battery pack simulation.}, 
URL = {http://jes.ecsdl.org/content/163/7/A1192.abstract}, 
eprint = {http://jes.ecsdl.org/content/163/7/A1192.full.pdf+html}, 
journal = {Journal of The Electrochemical Society} 
}