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A physically meaningful equivalent circuit network model of a lithium-ion battery accounting for local electrochemical and thermal behaviour, variable double layer capacitance and degradation
File | Description | Size | Format | |
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JPS_manuscript_Srbik.pdf | Accepted version | 1.98 MB | Adobe PDF | View/Open |
Title: | A physically meaningful equivalent circuit network model of a lithium-ion battery accounting for local electrochemical and thermal behaviour, variable double layer capacitance and degradation |
Authors: | Von Srbik, M-T Marinescu, M Martinez-Botas, RF Offer, GJ |
Item Type: | Journal Article |
Abstract: | A novel electrical circuit analogy is proposed modelling electrochemical systems under realistic automotive operation conditions. The model is developed for a lithium ion battery and is based on a pseudo 2D electrochemical model. Although cast in the framework familiar to application engineers, the model is essentially an electrochemical battery model: all variables have a direct physical interpretation and there is direct access to all states of the cell via the model variables (concentrations, potentials) for monitoring and control systems design. This is the first Equivalent Circuit Network- type model that tracks directly the evolution of species inside the cell. It accounts for complex electrochemical phenomena that are usually omitted in online battery performance predictors such as variable double layer capacitance, the full current-overpotential relation and overpotentials due to mass transport limitations. The coupled electrochemical and thermal model accounts for capacity fade via a loss in active species and for power fade via an increase in resistive solid electrolyte passivation layers at both electrodes. The model's capability to simulate cell behaviour under dynamic events is validated against test procedures, such as standard battery testing load cycles for current rates up to 20 C, as well as realistic automotive drive cycle loads. |
Issue Date: | 1-Sep-2016 |
Date of Acceptance: | 11-May-2016 |
URI: | http://hdl.handle.net/10044/1/33682 |
DOI: | 10.1016/j.jpowsour.2016.05.051 |
ISSN: | 0378-7753 |
Publisher: | Elsevier |
Start Page: | 171 |
End Page: | 184 |
Journal / Book Title: | Journal of Power Sources |
Volume: | 325 |
Issue: | 1 |
Copyright Statement: | © 2016 Elsevier. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | EP/I00422X/1 EP/I00422X/1 |
Keywords: | Science & Technology Physical Sciences Technology Chemistry, Physical Electrochemistry Energy & Fuels Materials Science, Multidisciplinary Chemistry Materials Science Lithium-ion battery Equivalent circuit modelling Electrochemical phenomenological model Thermal modelling Degradation Battery management system optimisation STATE-OF-CHARGE ELECTRIC VEHICLE AGING MODEL POWER OPTIMIZATION SIMULATIONS PREDICTION VOLTAGE DESIGN 03 Chemical Sciences 09 Engineering Energy |
Publication Status: | Published |
Online Publication Date: | 2016-06-14 |
Appears in Collections: | Mechanical Engineering Grantham Institute for Climate Change Faculty of Natural Sciences Faculty of Engineering |