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Title: Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models

Abstract

Abstract In this paper, we study, analyze, and validate some important zero-dimensional physics-based models for vanadium redox batch cell (VRBC) systems and formulate an adequate physics-based model that can predict the battery performance accurately. In the model formulation process, a systems approach to multiple parameters estimation has been conducted using VRBC systems at low C-rates (~C/30). In this batch cell system, the effect of ions' crossover through the membrane is dominant, and therefore, the capacity loss phenomena can be explicitly observed. Paradoxically, this means that using the batch system might be a better approach for identifying a more suitable model describing the effect of ions transport. Next, we propose an efficient systems approach, which enables to help understand the battery performance quickly by estimating all parameters of the battery system. Finally, open source codes, executable files, and experimental data are provided to enable people's access to robust and accurate models and optimizers. In battery simulations, different models and optimizers describing the same systems produce different values of the estimated parameters. Providing an open access platform can accelerate the process to arrive at robust models and optimizers by continuous modification from the users' side.

Authors:
 [1];  [2];  [3];  [3];  [4];  [3];  [5]
  1. Univ. of Washington, Seattle, WA (United States)
  2. Indian Inst. of Technology (IIT), Telangana (India)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  4. Indian Inst. of Technology (IIT), Mumbai (India)
  5. Univ. of Washington, Seattle, WA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1575257
Report Number(s):
SAND-2019-5455J
Journal ID: ISSN 2381-6872; 675548
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Fuel Cell Science and Technology (Online)
Additional Journal Information:
Journal Name: Journal of Fuel Cell Science and Technology (Online); Journal Volume: 17; Journal Issue: 1; Journal ID: ISSN 2381-6872
Publisher:
ASME
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; laboratory-scale batch cell; a systems approach; optimization; capacity loss; an open source platform; parameter estimation; executable files

Citation Formats

Lee, Seong Beom, Mitra, Kishalay, Pratt, Harry D., Anderson, Travis M., Ramadesigan, Venkatasailanathan, Chalamala, Babu R., and Subramanian, Venkat R. Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models. United States: N. p., 2019. Web. doi:10.1115/1.4044156.
Lee, Seong Beom, Mitra, Kishalay, Pratt, Harry D., Anderson, Travis M., Ramadesigan, Venkatasailanathan, Chalamala, Babu R., & Subramanian, Venkat R. Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models. United States. doi:10.1115/1.4044156.
Lee, Seong Beom, Mitra, Kishalay, Pratt, Harry D., Anderson, Travis M., Ramadesigan, Venkatasailanathan, Chalamala, Babu R., and Subramanian, Venkat R. Fri . "Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models". United States. doi:10.1115/1.4044156. https://www.osti.gov/servlets/purl/1575257.
@article{osti_1575257,
title = {Open Data, Models, and Codes for Vanadium Redox Batch Cell Systems: A Systems Approach Using Zero-Dimensional Models},
author = {Lee, Seong Beom and Mitra, Kishalay and Pratt, Harry D. and Anderson, Travis M. and Ramadesigan, Venkatasailanathan and Chalamala, Babu R. and Subramanian, Venkat R.},
abstractNote = {Abstract In this paper, we study, analyze, and validate some important zero-dimensional physics-based models for vanadium redox batch cell (VRBC) systems and formulate an adequate physics-based model that can predict the battery performance accurately. In the model formulation process, a systems approach to multiple parameters estimation has been conducted using VRBC systems at low C-rates (~C/30). In this batch cell system, the effect of ions' crossover through the membrane is dominant, and therefore, the capacity loss phenomena can be explicitly observed. Paradoxically, this means that using the batch system might be a better approach for identifying a more suitable model describing the effect of ions transport. Next, we propose an efficient systems approach, which enables to help understand the battery performance quickly by estimating all parameters of the battery system. Finally, open source codes, executable files, and experimental data are provided to enable people's access to robust and accurate models and optimizers. In battery simulations, different models and optimizers describing the same systems produce different values of the estimated parameters. Providing an open access platform can accelerate the process to arrive at robust models and optimizers by continuous modification from the users' side.},
doi = {10.1115/1.4044156},
journal = {Journal of Fuel Cell Science and Technology (Online)},
number = 1,
volume = 17,
place = {United States},
year = {2019},
month = {9}
}

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Works referenced in this record:

High Performance Hydrogen/Bromine Redox Flow Battery for Grid-Scale Energy Storage
journal, January 2012

  • Cho, Kyu Taek; Ridgway, Paul; Weber, Adam Z.
  • Journal of The Electrochemical Society, Vol. 159, Issue 11
  • DOI: 10.1149/2.018211jes

A Dynamic Unit Cell Model for the All-Vanadium Flow Battery
journal, January 2011

  • Shah, A. A.; Tangirala, R.; Singh, R.
  • Journal of The Electrochemical Society, Vol. 158, Issue 6
  • DOI: 10.1149/1.3561426

Dynamic modelling of the effects of ion diffusion and side reactions on the capacity loss for vanadium redox flow battery
journal, December 2011


Thermal modelling of battery configuration and self-discharge reactions in vanadium redox flow battery
journal, October 2012


Modeling of Ion Crossover in Vanadium Redox Flow Batteries: A Computationally-Efficient Lumped Parameter Approach for Extended Cycling
journal, December 2015

  • Boettcher, Philipp A.; Agar, Ertan; Dennison, C. R.
  • Journal of The Electrochemical Society, Vol. 163, Issue 1
  • DOI: 10.1149/2.0311601jes

Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover
journal, September 2018


Concentrated Solution Model of Transport in All Vanadium Redox Flow Battery Membrane Separator
journal, September 2014

  • Ashraf Gandomi, Y.; Zawodzinski, T. A.; Mench, M. M.
  • ECS Transactions, Vol. 61, Issue 13
  • DOI: 10.1149/06113.0023ecst

A transient electrochemical model incorporating the Donnan effect for all-vanadium redox flow batteries
journal, December 2015


Dynamic modelling of hydrogen evolution effects in the all-vanadium redox flow battery
journal, January 2010


Modelling the effects of oxygen evolution in the all-vanadium redox flow battery
journal, March 2010


A Transient Vanadium Flow Battery Model Incorporating Vanadium Crossover and Water Transport through the Membrane
journal, January 2012

  • Knehr, K. W.; Agar, Ertan; Dennison, C. R.
  • Journal of The Electrochemical Society, Vol. 159, Issue 9
  • DOI: 10.1149/2.017209jes

The Influence of Electric Field on Crossover in Redox-Flow Batteries
journal, July 2015

  • Darling, Robert M.; Weber, Adam Z.; Tucker, Michael C.
  • Journal of The Electrochemical Society, Vol. 163, Issue 1
  • DOI: 10.1149/2.0031601jes

A polyoxometalate flow battery
journal, August 2013


Transport properties of vanadium ions in cation exchange membranes:
journal, April 1998


Investigations on transfer of water and vanadium ions across Nafion membrane in an operating vanadium redox flow battery
journal, February 2010


New method for parameter estimation of an electrochemical-thermal coupling model for LiCoO2 battery
journal, March 2016


Modeling of vanadium ion diffusion across the ion exchange membrane in the vanadium redox battery
journal, May 2012


In Situ Kinetics Studies in All-Vanadium Redox Flow Batteries
journal, December 2012

  • Aaron, D.; Sun, C. -N.; Bright, M.
  • ECS Electrochemistry Letters, Vol. 2, Issue 3
  • DOI: 10.1149/2.001303eel

Kinetic Study of Electrochemical Treatment of Carbon Fiber Microelectrodes Leading to In Situ Enhancement of Vanadium Flow Battery Efficiency
journal, January 2016

  • Miller, M. A.; Bourke, A.; Quill, N.
  • Journal of The Electrochemical Society, Vol. 163, Issue 9
  • DOI: 10.1149/2.1091609jes

Structure/property relationship of Nafion XL composite membranes
journal, October 2016


Diffusion of Water in Nafion 115 Membranes
journal, January 2000

  • Motupally, Sathya; Becker, Aaron J.; Weidner, John W.
  • Journal of The Electrochemical Society, Vol. 147, Issue 9
  • DOI: 10.1149/1.1393879

Redox flow batteries a review
journal, September 2011

  • Weber, Adam Z.; Mench, Matthew M.; Meyers, Jeremy P.
  • Journal of Applied Electrochemistry, Vol. 41, Issue 10, p. 1137-1164
  • DOI: 10.1007/s10800-011-0348-2

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
journal, January 2011

  • Ramadesigan, Venkatasailanathan; Chen, Kejia; Burns, Nancy A.
  • Journal of The Electrochemical Society, Vol. 158, Issue 9
  • DOI: 10.1149/1.3609926

Parameter Estimation and Model Discrimination for a Lithium-Ion Cell
journal, January 2007

  • Santhanagopalan, Shriram; Guo, Qingzhi; White, Ralph E.
  • Journal of The Electrochemical Society, Vol. 154, Issue 3
  • DOI: 10.1149/1.2422896

Global Optimization Toolbox for Maple: an introduction with illustrative applications
journal, August 2006

  • Pintér, János D.; Linder, David; Chin, Paulina
  • Optimization Methods and Software, Vol. 21, Issue 4
  • DOI: 10.1080/10556780600628212

Chemical Reaction Engineering
journal, November 1999

  • Levenspiel, Octave
  • Industrial & Engineering Chemistry Research, Vol. 38, Issue 11
  • DOI: 10.1021/ie990488g

Effects of the electric field on ion crossover in vanadium redox flow batteries
journal, May 2015


A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries
journal, September 2010


Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells
journal, March 2018

  • Lee, Seong Beom; Pratt, Harry D.; Anderson, Travis M.
  • ECS Transactions, Vol. 85, Issue 5
  • DOI: 10.1149/08505.0043ecst

Parameter Identification of Lithium-Ion Batteries Model to Predict Discharge Behaviors Using Heuristic Algorithm
journal, January 2016

  • Li, Jun; Zou, Liangliang; Tian, Feng
  • Journal of The Electrochemical Society, Vol. 163, Issue 8
  • DOI: 10.1149/2.0861608jes

An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries: I. Methodology
journal, January 2016

  • Jokar, Ali; Rajabloo, Barzin; Désilets, Martin
  • Journal of The Electrochemical Society, Vol. 163, Issue 14
  • DOI: 10.1149/2.0191614jes

Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery
journal, November 2016


Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery
journal, June 2016


A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas
journal, January 2014


Recent developments in the numerical solution of differential/algebraic systems
journal, October 1989


Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications
journal, June 2014

  • Lawder, Matthew T.; Suthar, Bharatkumar; Northrop, Paul W. C.
  • Proceedings of the IEEE, Vol. 102, Issue 6
  • DOI: 10.1109/JPROC.2014.2317451

Data science: Accelerating innovation and discovery in chemical engineering
journal, February 2016

  • Beck, David A. C.; Carothers, James M.; Subramanian, Venkat R.
  • AIChE Journal, Vol. 62, Issue 5
  • DOI: 10.1002/aic.15192

Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids
journal, January 2017

  • Lee, Seong Beom; Pathak, Chintan; Ramadesigan, Venkatasailanathan
  • Journal of The Electrochemical Society, Vol. 164, Issue 11
  • DOI: 10.1149/2.0031711jes