daniel ioan stroe (49 resultados)

Condición: New.

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Condición: New.

Condición: New.

Condición: New. In.

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Hardback. Condición: New. 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 RandD, including battery management systems and related power electronics, battery manufacturers, and advanced students.

Paperback. Condición: Brand New. 408 pages. 9.25x7.50x0.80 inches. In Stock.

Hardback. Condición: New. 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 RandD, including battery management systems and related power electronics, battery manufacturers, and advanced students.

Condición: New. In.

Condición: New.

Condición: New.

Condición: New.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Hardcover. Condición: Brand New. 440 pages. 9.19x6.13x0.98 inches. In Stock.

Hardcover. Condición: Brand New. 300 pages. 9.21x6.14x1.26 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Paperback. Condición: New. Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.

Paperback. Condición: New. Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates.

Condición: New.

Hardcover. Condición: Brand New. 341 pages. 9.25x6.10x9.49 inches. In Stock.

Paperback. Condición: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.

Paperback. Condición: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes peer-reviewed papers presented at the 3rd International Conference on Emerging Electronics & Automation (E2A) 2023. This volume will serve as a comprehensive compilation of the scientific exchanges that took place during the conference at NIT Silchar, India. These proceedings aim to provide readers with insights into the latest scientific endeavors and accomplishments of the conference participants in various emerging fields, including instrumentation, control, signal processing, communication, and related computational techniques. The book seeks to present the global audience with exciting updates, novel findings, and solutions to challenging questions in the field, while also inspiring aspiring scientists to pursue meaningful scientific research. Despite its specialization, the field of instrumentation spans a wide range of disciplines, such as electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. Consequently, this publication is expected to appeal to a diverse audience within the scientific and engineering domains.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains peer-reviewed papers presented at the 3rd International Conference on Emerging Electronics & Automation (E2A) 2023. It aims to provide a compilation of the scientific exchanges that occurred during the conference at NIT Silchar, India. The proceedings cover the latest scientific endeavors and accomplishments in various emerging fields, including instrumentation, control, signal processing, communication, and related computational techniques. The book seeks to present the global audience with updates, novel findings, and solutions to challenging questions in the field, while inspiring aspiring scientists to engage in meaningful research. The field of instrumentation encompasses a wide range of disciplines, such as electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. Hence, this publication is expected to appeal to a diverse audience within the scientific and engineering domains.

Condición: New.

Paperback. Condición: New. State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, RandD professionals, and other industry personnel.