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Title: Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells

Abstract

Mathematical models of Redox Flow Batteries (RFBs) can be used to analyze cell performance, optimize battery operation, and control the energy storage system efficiently. Among many other models, physics-based electrochemical models are capable of predicting internal states of the battery, such as temperature, state-of-charge, and state-of-health. In the models, estimating parameters is an important step that can study, analyze, and validate the models using experimental data. A common practice is to determine these parameters either through conducting experiments or based on the information available in the literature. However, it is not easy to investigate all proper parameters for the models through this way, and there are occasions when important information, such as diffusion coefficients and rate constants of ions, has not been studied. Also, the parameters needed for modeling charge-discharge are not always available. In this paper, an efficient way to estimate parameters of physics-based redox battery models will be proposed. Furthermore, this paper also demonstrates that the proposed approach can study and analyze aspects of capacity loss/fade, kinetics, and transport phenomena of the RFB system.

Authors:
 [1];  [2];  [2];  [3];  [2]; ORCiD logo [4]
  1. Univ. of Washington, Seattle, WA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Indian Institute of Technology, Telangana (India)
  4. 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), Power Systems Engineering Research and Development (R&D) (OE-10)
OSTI Identifier:
1454679
Report Number(s):
SAND-2018-2539J
Journal ID: ISSN 1938-6737; 661288
Grant/Contract Number:
AC04-94AL85000
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
ECS Transactions (Online)
Additional Journal Information:
Journal Name: ECS Transactions (Online); Journal Volume: 85; Journal Issue: 5; Journal ID: ISSN 1938-6737
Publisher:
Electrochemical Society
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE

Citation Formats

Lee, Seong Beom, Pratt, III, Harry D., Anderson, Travis M., Mitra, Kishalay, Chalamala, Babu R., and Subramanian, Venkat R. Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells. United States: N. p., 2018. Web. doi:10.1149/08505.0043ecst.
Lee, Seong Beom, Pratt, III, Harry D., Anderson, Travis M., Mitra, Kishalay, Chalamala, Babu R., & Subramanian, Venkat R. Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells. United States. doi:10.1149/08505.0043ecst.
Lee, Seong Beom, Pratt, III, Harry D., Anderson, Travis M., Mitra, Kishalay, Chalamala, Babu R., and Subramanian, Venkat R. Tue . "Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells". United States. doi:10.1149/08505.0043ecst.
@article{osti_1454679,
title = {Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells},
author = {Lee, Seong Beom and Pratt, III, Harry D. and Anderson, Travis M. and Mitra, Kishalay and Chalamala, Babu R. and Subramanian, Venkat R.},
abstractNote = {Mathematical models of Redox Flow Batteries (RFBs) can be used to analyze cell performance, optimize battery operation, and control the energy storage system efficiently. Among many other models, physics-based electrochemical models are capable of predicting internal states of the battery, such as temperature, state-of-charge, and state-of-health. In the models, estimating parameters is an important step that can study, analyze, and validate the models using experimental data. A common practice is to determine these parameters either through conducting experiments or based on the information available in the literature. However, it is not easy to investigate all proper parameters for the models through this way, and there are occasions when important information, such as diffusion coefficients and rate constants of ions, has not been studied. Also, the parameters needed for modeling charge-discharge are not always available. In this paper, an efficient way to estimate parameters of physics-based redox battery models will be proposed. Furthermore, this paper also demonstrates that the proposed approach can study and analyze aspects of capacity loss/fade, kinetics, and transport phenomena of the RFB system.},
doi = {10.1149/08505.0043ecst},
journal = {ECS Transactions (Online)},
number = 5,
volume = 85,
place = {United States},
year = {Tue Mar 27 00:00:00 EDT 2018},
month = {Tue Mar 27 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on March 27, 2019
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