Daniel-Ioan Stroe's Books

State Estimation Strategies in Lithium-ion Battery Management Systems

By: Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero,Shunli Wang

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State Estimation Strategies in Lithium-ion Battery Management Systems

By: Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero,Shunli Wang

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, R&D professionals, and other industry personnel. - Introduces lithium-ion batteries, characteristics and core state parameters - Examines battery equivalent modeling and provides advanced methods for battery state estimation - Analyzes current technology and future opportunities

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Page Count

377

Publisher

Elsevier

Published Date

ISBN 10

0443161615

ISBN 13

9780443161612

AI for Status Monitoring of Utility Scale Batteries

By: Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero

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AI for Status Monitoring of Utility Scale Batteries

By: Shunli Wang,Kailong Liu,Yujie Wang,Daniel-Ioan Stroe,Carlos Fernandez,Josep M. Guerrero

Utility-scale Li-ion batteries are poised to play key roles for the clean energy system, but their failure has severe effects. AI can help with their monitoring and management. This work covers machine learning, neural networks, and deep learning, for battery modeling.

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Page Count

494

Publisher

IET

Published Date

ISBN 10

1839537388

ISBN 13

9781839537387

Battery System Modeling

By: Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen

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Battery System Modeling

By: Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen

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. - Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling - Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation - Provides a dedicated chapter on active control strategies

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Page Count

356

Publisher

Elsevier

Published Date

ISBN 10

0323904335

ISBN 13

9780323904339

Book's by Daniel-Ioan Stroe

State Estimation Strategies in Lithium-ion Battery Management Systems

State Estimation Strategies in Lithium-ion Battery Management Systems

AI for Status Monitoring of Utility Scale Batteries

AI for Status Monitoring of Utility Scale Batteries

Battery System Modeling

Battery System Modeling

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