Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current

Vanadium Redox Flow Battery (V-RFB) is a type of rechargeable flow battery that employs vanadium ions in different oxidation states. It undergoes oxidation and reduction reaction during discharge and charge process at anode and cathode. Presently, there are lack of publication studies on electrical...

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Main Authors: Mohamed, Mohd Rusllim, Ramli, Noor Lina, Razali, Saifudin, Sulaiman, Mohd Herwan, Abu Seman, M. N., Azizan, Ahmad
Format: Research Book Profile
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36264/1/Extended%20Kalman%20Filter%20%28EKF%29-based%20modular-stack%20Vanadium%20Redox%20Flow%20Battery%20%28V-RFB%29.wm.pdf
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author Mohamed, Mohd Rusllim
Ramli, Noor Lina
Razali, Saifudin
Sulaiman, Mohd Herwan
Abu Seman, M. N.
Azizan, Ahmad
author_facet Mohamed, Mohd Rusllim
Ramli, Noor Lina
Razali, Saifudin
Sulaiman, Mohd Herwan
Abu Seman, M. N.
Azizan, Ahmad
author_sort Mohamed, Mohd Rusllim
collection UMP
description Vanadium Redox Flow Battery (V-RFB) is a type of rechargeable flow battery that employs vanadium ions in different oxidation states. It undergoes oxidation and reduction reaction during discharge and charge process at anode and cathode. Presently, there are lack of publication studies on electrical circuit model for V-RFB. Electrochemical model is commonly use to represent battery due to its detailing in electrochemical process, however, the model is not suitable to identify electrical behavior of V-RFB. Parameter estimation on battery model is a process to fit an equivalent circuit into the battery. This thesis presents equivalent electrical circuit consists of actual and approximate circuit for V-RFB as well as hydrodynamics behavior of the Vanadium redox flow battery (V-RFB) by using 3D computational fluid dynamics (CFD) models. The aim of this project is to propose equivalent electrical circuit for V-RFB that represents excellent adaptableness to any circuitry analysis and design and to study the pump power (pump energy consumption) and electrolyte flow distribution required within the cell.
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spelling UMPir362642023-01-04T03:41:54Z http://umpir.ump.edu.my/id/eprint/36264/ Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current Mohamed, Mohd Rusllim Ramli, Noor Lina Razali, Saifudin Sulaiman, Mohd Herwan Abu Seman, M. N. Azizan, Ahmad TK Electrical engineering. Electronics Nuclear engineering Vanadium Redox Flow Battery (V-RFB) is a type of rechargeable flow battery that employs vanadium ions in different oxidation states. It undergoes oxidation and reduction reaction during discharge and charge process at anode and cathode. Presently, there are lack of publication studies on electrical circuit model for V-RFB. Electrochemical model is commonly use to represent battery due to its detailing in electrochemical process, however, the model is not suitable to identify electrical behavior of V-RFB. Parameter estimation on battery model is a process to fit an equivalent circuit into the battery. This thesis presents equivalent electrical circuit consists of actual and approximate circuit for V-RFB as well as hydrodynamics behavior of the Vanadium redox flow battery (V-RFB) by using 3D computational fluid dynamics (CFD) models. The aim of this project is to propose equivalent electrical circuit for V-RFB that represents excellent adaptableness to any circuitry analysis and design and to study the pump power (pump energy consumption) and electrolyte flow distribution required within the cell. 2013 Research Book Profile NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36264/1/Extended%20Kalman%20Filter%20%28EKF%29-based%20modular-stack%20Vanadium%20Redox%20Flow%20Battery%20%28V-RFB%29.wm.pdf Mohamed, Mohd Rusllim and Ramli, Noor Lina and Razali, Saifudin and Sulaiman, Mohd Herwan and Abu Seman, M. N. and Azizan, Ahmad (2013) Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current. , [Research Book Profile: Research Report] (Unpublished)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamed, Mohd Rusllim
Ramli, Noor Lina
Razali, Saifudin
Sulaiman, Mohd Herwan
Abu Seman, M. N.
Azizan, Ahmad
Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title_full Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title_fullStr Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title_full_unstemmed Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title_short Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization current
title_sort extended kalman filter ekf based modular stack vanadium redox flow battery v rfb prediction model development for reducing electrode contact resistance and parallelization current
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/36264/1/Extended%20Kalman%20Filter%20%28EKF%29-based%20modular-stack%20Vanadium%20Redox%20Flow%20Battery%20%28V-RFB%29.wm.pdf
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AT ramlinoorlina extendedkalmanfilterekfbasedmodularstackvanadiumredoxflowbatteryvrfbpredictionmodeldevelopmentforreducingelectrodecontactresistanceandparallelizationcurrent
AT razalisaifudin extendedkalmanfilterekfbasedmodularstackvanadiumredoxflowbatteryvrfbpredictionmodeldevelopmentforreducingelectrodecontactresistanceandparallelizationcurrent
AT sulaimanmohdherwan extendedkalmanfilterekfbasedmodularstackvanadiumredoxflowbatteryvrfbpredictionmodeldevelopmentforreducingelectrodecontactresistanceandparallelizationcurrent
AT abusemanmn extendedkalmanfilterekfbasedmodularstackvanadiumredoxflowbatteryvrfbpredictionmodeldevelopmentforreducingelectrodecontactresistanceandparallelizationcurrent
AT azizanahmad extendedkalmanfilterekfbasedmodularstackvanadiumredoxflowbatteryvrfbpredictionmodeldevelopmentforreducingelectrodecontactresistanceandparallelizationcurrent