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  • image of AIoT Technologies and Applications for Smart Environments
    AIoT Technologies and Applications for Smart Environments
    • Editors: Mamoun Alazab; Meenu Gupta; Shakeel Ahmed
    • Publication Year: 2022
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      Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner.

      In this edited book, the contributors present challenges, technologies, applications and future trends of AIoT in realizing smart and intelligent environments, including frameworks and methodologies for applying AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques, and practical implementations to enhance future smart environment systems. Chapters cover a broad range of applications including smart cities, smart transportation and smart agriculture.

      This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.

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  • image of n-Type Crystalline Silicon Photovoltaics: Technology, applications and economics
    n-Type Crystalline Silicon Photovoltaics: Technology, applications and economics
    • Editors: Delfina Muñoz; Radovan Kopecek
    • Publication Year: 2022
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      Most solar cells currently in commercial use are p-type solar cells, due to their historically lower cost and ease of manufacture compared to n-type solar cells. However, due to improved manufacturing technology and falling cost in general, the cost difference between the two types has shrunk, making n-type solar cells an attractive option for future commercial high-efficiency solar cells.

      n-type solar cells are less prone to light-induced degradation, and are also less affected by iron impurities. This makes n-type solar cells more efficient compared to their p-type counterparts, with efficiencies of up to 25% being feasible in production.

      Challenges in the manufacturing process and regarding degradation still remain to be solved, in order to realise n-type solar cells' full potential. The challenges, solutions and opportunities afforded by n-type solar cells are explored in this volume.

      This book conveys current research and development for n-type solar cells and modules. With a systematic build-up, chapters cover the base material, wafer production, and the cell concepts including recent passivation techniques. Also covered are the related issues of solar module technology, such as encapsulation and interconnection, and degradation process management, including comparisons with p-type solar cells. In addition, economic and ecologic aspects and cost modelling are addressed.

      This thorough, concise reference is a valuable resource for researchers from industry and academia working in the field of photovoltaics.

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  • image of Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations
    Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations
    • Editor: Saad Motahhir
    • Publication Year: 2022
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      The rising share of photovoltaic (PV) energy requires sophisticated digital techniques for control, monitoring and integration with the grid. In remote areas, where no trained personnel might be nearby to intervene, such technologies are vital to ensure reliability and power quality, and to harness the solar potential of these locations. Moreover, tracking is necessary for moveable systems. Digital technologies can be used to enable and augment the use of PV energy in the grid, as well as for desalination, water pumping and hydrolysis.

      Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations focuses on the latest research and developments in PV energy system operation and integration. It provides extensive coverage of R&D to overcome critical limitations to the use of remote PV systems.

      Chapters cover phase-shifting transformers, grid-connected PV micro-inverter, distribution automation, PV powered water pumping, maximum power point tracking and solar tracking, soiling effects and measurement, cleaning methods, IoT based PV module cooling and cleaning, control of energy storage, and energy management.

      This book is a highly useful reference guide for researchers, designers, operators, and experts involved with PV systems, as well as for graduate students.

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  • image of Fundamentals of Inertial Navigation Systems and Aiding
    Fundamentals of Inertial Navigation Systems and Aiding
    • Author(s): Michael Braasch
    • Publication Year: 2022
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      The aim of this book is to provide an advanced introduction to inertial data processing (determination of attitude, velocity and position) along with design architectures and algorithms used to aid the inertial navigation system (INS). The emphasis is on the high-end sensors and systems used in aerospace applications (known as 'navigation grade' or 'nav grade').

      The subject of inertial navigation systems and how to aid them (reduce their inherent error drift) is complex and multi-disciplinary. Mathematics and physics along with electrical, mechanical and software engineering all are involved. This book has been written to serve as an introduction for students and those new to the field. Specialized topics such as rotation matrices, quaternions and relevant stochastic processes are covered in the book. The reader is expected to have a basic understanding of vectors, matrices and matrix multiplication as well as freshman-level differential and integral calculus.

      The basics of inertial position/velocity/attitude updating are first presented with respect to a conceptually simple inertially-fixed reference frame before the impact of the spheroidal rotating earth is covered. Similarly, the key concepts of the Kalman filter are first presented in the context of a scalar filter. Important aspects of the prediction error covariance and Kalman gain equations are thus covered in an intuitive sense before the full matrix formulations are described. By the end of the book, a thorough treatment of modern aided-INS architectures is provided.

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  • image of Physical Layer Security for Wireless Sensing and Communication
    Physical Layer Security for Wireless Sensing and Communication
    • Editors: Hüseyin Arslan; Haji M. Furqan
    • Publication Year: 2022
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      Wireless physical layer (PHY) security has attracted much attention due to the broadcast nature of the wireless medium and its inherent vulnerability to eavesdropping, jamming, and interference.

      Physical Layer Security for Wireless Sensing and Communication covers both communication and sensing security from a broad perspective. The main emphasis is on PHY security, although other security measures are covered for the sake of completeness and as a step towards cross-layer security and cognitive security vision. After discussing the features of wireless channels from both the communication and sensing perspectives, the book details their exploitation for secure transmission utilizing various approaches. Wireless sensing and radio environment concepts are also addressed, along with the related security implications in terms of eavesdropping, disruption, manipulation, and, in general, the exploitation of wireless sensing by unauthorised users. Several solutions for these threats from the domains of wireless communication, military radars, and machine learning, are discussed.

      The book provides valuable information to researchers in academia and industry, as well as engineers, developers, and advanced students in the field of cybersecurity.

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  • image of Cybersecurity in Transport Systems
    Cybersecurity in Transport Systems
    • Editor: Martin Hawley
    • Publication Year: 2022
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      The role of data and information and communication technology (ICT) is growing in all areas of transport, with autonomous vehicles among the most advanced examples. This opens up opportunities for malevolent interference, such as remote-control of vehicles for criminal or terrorist purposes or interruption of increasingly interconnected transport systems. It is therefore imperative that cybersecurity is upgraded and designed into new systems.

      Focusing on the management of security and the principles of security technologies in the context of transport systems, this book equips readers with an understanding of what management actions need to be taken and the sort of technologies available to defend against cyberattacks. To improve their decision making, managers need to understand how security practices and technologies work, so the book spans a range of areas: from regulations to security management, to the principles of selected technologies.

      Cybersecurity in Transport Systems provides insights across multiple modes of transport, including insight from seasoned practitioners. It also addresses advances and themes in current research and the future outlook as we move to increasing digital transformation.

      The book is aimed at managers in the transport sector but is widely applicable to other sectors, especially those that are safety critical. Much of the book will be useful to students considering careers in industries that rely on information technology, and to researchers in academia and industry.

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  • image of Wind Turbine System Design. Volume 1: Nacelles, drivetrains and verification
    Wind Turbine System Design. Volume 1: Nacelles, drivetrains and verification
    • Editor: Jan Wenske
    • Publication Year: 2022
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      Wind energy is a pillar of the strategy to mitigate greenhouse gas emissions and stave off catastrophic climate change, but the market is under tremendous pressure to reduce costs. This results in the need for optimising any new wind turbine to maximise the return on investment and keep the technology profitable and the sector thriving. Optimisation involves selecting the best component out of many, and then optimising the system as a whole. Key components are the nacelles and drive trains, and the verification of their work as a system.

      Wind Turbine System Design: Volume 1: Nacelles, drive trains and verification is a valuable reference for scientists, engineers and advanced students engaged in the design of wind turbines offering a systematic guide to these components. Chapters written by industry experts cover load calculation and validation, models and simulation, pitch and yaw system concepts and designs, drivetrain concepts and developments, gearboxes, hydraulic systems, lubrication, and validation. The book aims to enable readers to make informed and systematic choices in designing the best turbine for a given situation.

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  • image of Non-Redundant Near-Field to Far-Field Transformation Techniques
    Non-Redundant Near-Field to Far-Field Transformation Techniques
    • Author(s): Claudio Gennarelli ; Flaminio Ferrara ; Rocco Guerriero ; Francesco D'Agostino
    • Publication Year: 2022
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      Near-field (NF) measurement techniques and the related NF to far-field (FF) transformations are gaining interest for their ability to allow an accurate evaluation of the radiation characteristics of those antennas whose electric sizes do not make it possible to perform direct FF measurements in a controlled and reflection-free environment, such as the anechoic chamber.

      This book provides a comprehensive treatment of classical NF-FF transformation techniques and describes the significant improvements achieved in their performance by correctly applying the non-redundant sampling representations of antenna radiated electromagnetic (EM) fields.

      Non-Redundant Near-Field to Far-Field Transformation Techniques is designed to meet the needs of students of antenna NF measurements, as well as of engineers and physicists working in the area. It has been written keeping in mind the fulfilment of two main objectives. The former is to provide all the analytical details on the derivation of the classical NF-FF transformation techniques without and with probe compensation, which are not easily available elsewhere in the literature. The latter is to give a comprehensive description of effective representations of the EM fields radiated over arbitrary rotational surfaces, which make use of a non-redundant (i.e., minimum) number of samples collected on these surfaces or along proper spirals wrapping them.

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  • image of Polarimetric Radar Signal Processing
    Polarimetric Radar Signal Processing
    • Editors: Augusto Aubry; Antonio De Maio; Alfonso Farina
    • Publication Year: 2022
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      Polarimetric Radar Signal Processing provides an overview of advanced techniques and technologies developed for polarimetric radars to meet challenging performance requirements. It aims to cover some of the most challenging application fields, including: target detection for active and passive surveillance systems, interference suppression, detection of temporal changes in a given scene, environment classification, automatic target recognition, non-cooperative target imaging, polarimetric coding in radar and SAR systems, pol-SAR ambiguities suppression, space-debris detection, tracking, and classification, estimation of biological and behavioural parameters of insects, precipitations localization as well as type and motion parameters estimation via real-life practical polarimetric weather radar.

      The book balances a practical point of view with a rigorous mathematical approach corroborated with a wealth of numerical case studies and real experiments. Additionally, the book has a cross-disciplinary approach as it aims to exploit cross-fertilization by the recent and latest research and discoveries in statistical signal processing theory and electromagnetism.

      Each chapter is self-contained and is written by renowned researchers in polarimetric radar signal processing. The emphasis of the book is on both theoretical results and practical applications that clearly show the potential benefits in radar performance using polarimetric diversity in different application domains. Cross referencing and a common notation have been realized so that the related material as well as equations can be easily connected. This significantly enhances the book's value as a reference.

      This book is addressed to systems engineers and their managers in civilian as well as defence companies; technical staff in procurement agencies and their technical advisers; students at MSc and PhD levels in signal processing, electrical engineering, systems and defence engineering; and any persons interested in applications of polarimetry theory to radar engineering.

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  • image of Non-Geostationary Satellite Communications Systems
    Non-Geostationary Satellite Communications Systems
    • Editors: Eva Lagunas; Symeon Chatzinotas; Kang An; Bassel F. Beidas
    • Publication Year: 2022
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      Recent technological advances have made possible the creation of a chain of non-geostationary satellite orbit (NGSO) communications systems. Such systems offer the advantages of ubiquity, relatively low costs, and upgradable infrastructure that enables the use of innovative on-board technologies. This evolution opens up a plethora of opportunities for massive self-organized, reconfigurable and resilient NGSO constellations, which can operate as a global network.

      Ambitious low-orbit constellation types are currently being developed, motivated by advanced communication technologies and cheaper launch costs. These emerging architectures require accurate system orchestration involving different research domains including wireless communications, spectrum management, dynamic antenna and tracking systems, inter-satellite links and routing strategies.

      This edited book presents a broad overview of the research in NGSO constellations for future satellite communication network design including key technologies and architectures and specific use-case-oriented communications design and analysis. The book will be of interest to academic researchers and scientists, communication engineers and industrial actors in satcom, satellite networking and mobile and wireless communication. It will also serve as a useful reference for advanced students and postdocs and lecturers in satellite communication and networking and mobile and wireless communication.

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  • image of Sensory Systems for Robotic Applications
    Sensory Systems for Robotic Applications
    • Editors: Ravinder Dahiya; Oliver Ozioko; Gordon Cheng
    • Publication Year: 2022
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      Robots have come a long way thanks to advances in sensing and computer vision technologies and can be found today in healthcare, medicine and industry. Researchers have been looking at providing them with senses such as the ability to see, smell, hear and perceive touch in order to mimic and interact with humans and their surrounding environments.

      Topics covered in this edited book include various types of sensors used in robotics, sensing schemes (e-skin, tactile skin, e-nose, neuromorphic vision and touch), sensing technologies and their applications including healthcare, prosthetics, robotics and wearables.

      This book will appeal to researchers, scientists, engineers, and graduate and advanced students working in robotics, sensor technologies and electronics, and their applications in robotics, haptics, prosthetics, wearable and interactive systems, cognitive engineering, neuro-engineering, computational neuroscience, medicine and healthcare technologies.

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  • image of ITS for Freight Logistics
    ITS for Freight Logistics
    • Editor: Hironao Kawashima
    • Publication Year: 2022
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      The global economy requires globalized movement of goods. Freight transport operations need to be efficient, productive, safe and secure, clean and green. The use of ICT and ITS (intelligent transport systems) are addressing these challenges by developing more rapid, more reliable and more precisely timed strategies for freight transport.

      This books reviews recent developments in the field of ITS for freight logistics, covering relevant technologies, applications, approaches and standards. Chapters address the following topics: introduction to mobility of goods and freight logistics; global logistics visibility; global logistics standards development for using on marine container terminals; supply chain and RFID technologies; international data exchange solutions for transport and logistics; city logistics; the UK freight and logistics sector; implementation and application; and logistics IoT in Thailand.

      Written by an international team of contributors, and edited by an expert in the field, this book is aimed at students and researchers in ITS and ICT for transport applications, policy makers and practitioners such as system architects, system engineers, and managers in the freight transport industry, and anyone involved in the design, developments and implementation of new ICT and ITS technologies in the freight sector.

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  • image of Composites Assembly for High Performance Fastener-less Structures
    Composites Assembly for High Performance Fastener-less Structures
    • Editors: Hamed Yazdani Nezhad; Vijay Kumar Thakur
    • Publication Year: 2022
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      Composites Assembly for High Performance Fastener-less Structures provides a broad and balanced span of information, covering both fundamentals and applications across academic and industrial state-of-the-art research and development on assembly, joining, inspection and repair of high-performance structures made from fibre-reinforced polymer composites and multifunctional nanocomposites. This knowledge is essential for the realisation of critical features in assembly and joining evolving procedures (across their design, development and performance analysis) in such multi-material systems, but also for the through-life maintenance of composite components used in a range of engineering applications such as those composite structures utilised for wind turbine blades, automotive parts, aircraft wings and fuselage. The book also addresses the non-destructive testing methods used to detect damage occurring in composite joints, which are essential to decide if the repair is needed.

      The book begins by providing a fundamental description of the requirements for composite joining, assembly and repair. It goes on to address a variety of joining and repair procedures in composite structures from thermoset adhesive bonding to thermoplastic hybridisation, through-the-thickness reinforcement and sandwich structures. Further chapters cover the reliable assessment of structure's damage tolerance and failure assessment procedures, including non-destructive inspections and image processing based structural health monitoring, and provide understanding of the most likely deterioration mechanisms occurring in processing and assembly of composite materials and structures. The book is wrapped up with the ongoing state-of-the-arts in multifunctional nanocomposites with application for high-performance structures for self-sensing, energy harvesting and properties tailoring.

      Composites Assembly for High Performance Fastener-less Structures brings together state-of-the-art practices for assembly, in-service damage and repair procedures along with the existing certification and repair regulations, followed by the futuristic opportunities for enabling and emerging polymer nanocomposites for smart structures, for an audience of academic researchers, advanced students, engineers and manufacturing professionals.

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  • image of Digital Protection for Power Systems
    Digital Protection for Power Systems
    • Author(s): Salman K. Salman  and  A.T. Johns
    • Publication Year: 2022
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      Electric power systems have become much more complex in the past years, due to the integration of distributed generation including renewable energy sources and the challenges caused by intermittency of renewables. This complexity makes power systems potentially more vulnerable. However, use of computer-based protection methods (i.e., digital protection relays) supported by communication technology have helped in protecting electrical networks from faults to which they are subjected to.

      This second edition of the book covers a comprehensive introduction to the protection of electrical power systems using digital protective relays. The new edition offers a thorough revision and update, and comprehensive additional material. Chapters treat the mathematical background of protection algorithms including, sinusoidal-wave-based algorithms, Walsh function and S-Transform-based techniques, least squares and differential equation-based techniques, travelling wave-based protection, protection of transformers, digital line differential protection, a comparison between digital protection algorithms, and importantly, protection of networks with distributed generation including renewable energy resources.

      The book is written for researchers in electrical engineering and power engineering, in industry, utilities and universities, and for advanced students. The treatment is logically structured, covering mathematics and principles for the development and implementation of the major algorithms underlying different protection techniques. These techniques can be applied to protection of generator transformers, lines, switchgear and cable circuits: the main components of transmission and distribution systems with and without integrated distributed energy sources including renewables.

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  • image of Superconducting Magnetic Energy Storage in Power Grids
    Superconducting Magnetic Energy Storage in Power Grids
    • Editor: Mohd. Hasan Ali
    • Publication Year: 2022
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      Energy storage is key to integrating renewable power. Superconducting magnetic energy storage (SMES) systems store power in the magnetic field in a superconducting coil. Once the coil is charged, the current will not stop and the energy can in theory be stored indefinitely. This technology avoids the need for lithium for batteries. The round-trip efficiency can be greater than 95%, but energy is needed for the cooling of the superconducting coil, and the material is expensive. So far, SMES systems are primarily used for improving power quality through short time storage, but further applications are being researched.

      This concise treatise for researchers, including PhD students, involved with energy storage research at universities and in industry, experts at utilities and grid operators, as well as advanced students provides a hands-on overview of SMES technology. Chapters cover principles, control, power quality and transient stability enhancement, load frequency control, dynamic performance, use of AI with SMES, and cybersecurity case studies underpin the coverage.

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  • image of Applications of Machine Learning and Data Analytics Models in Maritime Transportation
    Applications of Machine Learning and Data Analytics Models in Maritime Transportation
    • Author(s): Ran Yan  and  Shuaian Wang
    • Publication Year: 2022
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    • p. (1)

      Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models.

      Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field.

      The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.

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  • image of Medical Information Processing and Security: Techniques and applications
    Medical Information Processing and Security: Techniques and applications
    • Editors: Amit Kumar Singh; Huiyu Zhou
    • Publication Year: 2022
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    • p. (1)

      Smart healthcare systems, made up of advanced wearable devices, internet of things (IoT) technologies and mobile internet connectivity, allow significant medical information to be easily and regularly transmitted over public networks. Personal patient information and clinical records are stored on hospitals and healthcare centres and can be accessed remotely by healthcare workers. Due to the widespread increase in the sheer volume of medical data being collected and created all the time, it has never been more important to ensure that such information is collected, stored and processed in a reliable and secure manner.

      This edited book covers the recent trends in the field of medical information processing, including prediction of complications using machine learning and trends in visualization and image analysis. Further chapters focus on information security and privacy solutions for smart healthcare applications, including encryption of medical information, privacy in smart IoT environments, medical image watermarking and secure communication systems.

      Medical Information Processing and Security: Techniques and applications can be used as a reference book for practicing engineers, researchers and scientists. It will also be useful for senior undergraduate and graduate students, and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art security solutions for smart healthcare applications.

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  • image of Explainable Artificial Intelligence in Medical Decision Support Systems
    Explainable Artificial Intelligence in Medical Decision Support Systems
    • Editors: Agbotiname Lucky Imoize; Jude Hemanth; Dinh-Thuan Do; Samarendra Nath Sur
    • Publication Year: 2022
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      Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of artificial intelligence in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision.

      This book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues associated with processing patient data. It provides insights into real-world scenarios of the deployment, application, management, and associated benefits of XAI in MDSS. The book outlines the frameworks for MDSS and explores the applicability, prospects, and legal implications of XAI for MDSS. Applications of XAI in MDSS such as XAI for robot-assisted surgeries, medical image segmentation, cancer diagnostics, and diabetes mellitus and heart disease prediction are explored.

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  • image of Trustworthy Autonomic Computing
    Trustworthy Autonomic Computing
    • Author(s): Thaddeus Eze
    • Publication Year: 2022
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      The concept of autonomic computing seeks to reduce the complexity of pervasively ubiquitous system management and maintenance by shifting the responsibility for low-level tasks from humans to the system while allowing humans to concentrate on high-level tasks. This is achieved by building self-managing systems that are generally capable of self-configuring, self-healing, self-optimising, and self-protecting.

      Trustworthy autonomic computing technologies are being applied in datacentre and cloud management, smart cities and autonomous systems including driverless cars. However, there are still significant challenges to achieving trustworthiness. This book covers challenges and solutions in autonomic computing trustworthiness from methods and techniques to achieve consistent and reliable system self-management. Researchers, developers and users need to be confident that an autonomic self-managing system will remain correct in the face of any possible contexts and environmental inputs.

      The book is aimed at researchers in autonomic computing, autonomics and trustworthy autonomics. This will be a go-to book for foundational knowledge, proof of concepts and novel trustworthy autonomic techniques and approaches. It will be useful to lecturers and students of autonomic computing, autonomics and multi-agent systems who need an easy-to-use text with sample codes, exercises, use-case demonstrations. This is also an ideal tutorial guide for independent study with simple and well documented diagrams to explain techniques and processes.

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  • image of AI for Status Monitoring of Utility Scale Batteries
    AI for Status Monitoring of Utility Scale Batteries
    • Author(s): Shunli Wang ; Kailong Liu ; Yujie Wang ; Daniel-Ioan Stroe ; Carlos Fernandez ; Josep M. Guerrero
    • Publication Year: 2022
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      Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries.

      This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems.

      AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.

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