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Modeling and Control of a Vanadium Redox Flow Battery

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  • © 2025

Overview

  • Nominated as an outstanding thesis by Universitat Politècnica de Catalunya, Barcelona, Spain
  • Describes a comprehensive model of the main phenomena associated with Vanadium Redox Flow Battery
  • Reports on parameter and state estimation algorithms validated in numerical and experimental setups

Part of the book series: Springer Theses (Springer Theses)

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About this book

This book presents extensive work on the modeling and control aspects of the emerging field of vanadium redox flow batteries. After providing a detailed literature review, it describes a comprehensive model that defines the main phenomena associated with vanadium redox flow batteries, covering electrochemical, thermal, hydraulic, and voltage aspects. Phenomena and models are described in a concise manner using a set of differential equations that share common parameters and states. Various electrochemical models based on conservation principles and operating condition assumptions are described, and used for estimating the state of charge and state of health. Different methodologies for accurately estimating these indicators through offline optimization problems and online observers are presented. In turn, the results obtained from real experimental setups are presented and validated, providing a better understanding of the components, design, and operation of vanadium redox flow batteries. 

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Keywords

Table of contents (11 chapters)

Authors and Affiliations

  • Institut de Robòtica I Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain

    Alejandro Clemente León

About the author

Alejandro Clemente received the B.Eng. degree in industrial and automatic electronic engineering, the M.Sc. degree in robotics and automatic control and the Ph.D. in automatic control from the Universitat Politècnica de Catalunya (UPC) in 2018, 2020 and 2023, respectively. He is currently a post-doctoral researcher at the Catalonia Institute of Energy Research (IREC), Barcelona, Spain. In this center, he is developing studies in the field of modeling and control of electrochemical systems, being focused in the development of battery management systems in different National and European projects. Since 2020 he is part-time Associate Professor at the UPC, teaching classes in the B.Eng. degree in industrial engineering and the M.Sc. degree in robotics and automatic control.

Accessibility Information

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Modeling and Control of a Vanadium Redox Flow Battery

  • Authors: Alejandro Clemente León

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-031-80728-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Hardcover ISBN: 978-3-031-80727-5Published: 27 July 2025

  • Softcover ISBN: 978-3-031-80730-5Due: 10 August 2026

  • eBook ISBN: 978-3-031-80728-2Published: 26 July 2025

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XXII, 313

  • Number of Illustrations: 3 b/w illustrations, 144 illustrations in colour

  • Topics: Control and Systems Theory, Energy Materials, Electrochemistry

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