LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control. Issue 7 (12th April 2016)

• Record Type: Journal Article
• Authors: Torchio, Marcello; Magni, Lalo; Gopaluni, R. Bhushan; Braatz, Richard D.; Raimondo, Davide M.
• Is Part Of: Journal of the Electrochemical Society. Volume 163:Issue 7(2016)
• Page Start: A1192
• Page End: A1205
• Publication Date: 2016-04-12
• Subjects: Advanced Battery Management Systems -- Li-ion batteries simulation -- Lithium-ion batteries -- Matlab Li-ion toolbox; Electrochemistry -- Periodicals; 541.3705
• DOI: 10.1149/2.0291607jes
• Languages: English
• ISSNs: 0013-4651

Abstract

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.