Author: Qi Huang
Publisher: Cambridge Scholars Publishing
ISBN: 1527552187
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
To deal with environmental deterioration and energy crises, developing clean and sustainable energy resources has become the strategic goal of the majority of countries in the global community. Lithium-ion batteries are the modes of power and energy storage in the new energy industry, and are also the main power source of new energy vehicles. State-of-charge (SOC) and state-of-health (SOH) are important indicators to measure whether a battery management system (BMS) is safe and effective. Therefore, this book focuses on the co-estimation strategies of SOC and SOH for power lithium-ion batteries. The book describes the key technologies of lithium-ion batteries in SOC and SOH monitoring and proposes a collaborative optimization estimation strategy based on neural networks (NN), which provide technical references for the design and application of a lithium-ion battery power management system. The theoretical methods in this book will be of interest to scholars and engineers engaged in the field of battery management system research.
Author: Nikhil Ketkar
Publisher: Apress
ISBN: 1484227662
Category : Computers
Languages : en
Pages : 235
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Book Description
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
Author: IEEE Staff
Publisher:
ISBN: 9781728159478
Category :
Languages : en
Pages :
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Book Description
The purpose of GlobalRel&PHM 2020 Shanghai is to serve as a premier interdisciplinary forum for researchers, scientists and scholars in the domains of aeronautics and astronautics, energy and power systems, process industries, computers and telecommunications, industrial automation, to present and discuss the most recent innovations, trends, concerns, challenges and solutions in terms of Engineering Reliability and PHM
Author: Valer Pop
Publisher: Springer Science & Business Media
ISBN: 1402069456
Category : Science
Languages : en
Pages : 238
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Book Description
This book describes the field of State-of-Charge (SoC) indication for rechargeable batteries. An overview of the state-of-the-art of SoC indication methods including available market solutions from leading semiconductor companies is provided. All disciplines are covered, from electrical, chemical, mathematical and measurement engineering to understanding battery behavior. This book will therefore is for persons in engineering and involved in battery management.
Author: Arno Kwade
Publisher: Springer
ISBN: 3319705725
Category : Technology & Engineering
Languages : en
Pages : 312
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Book Description
This book addresses recycling technologies for many of the valuable and scarce materials from spent lithium-ion batteries. A successful transition to electric mobility will result in large volumes of these. The book discusses engineering issues in the entire process chain from disassembly over mechanical conditioning to chemical treatment. A framework for environmental and economic evaluation is presented and recommendations for researchers as well as for potential operators are derived.
Author: IEEE Staff
Publisher:
ISBN: 9781728131542
Category :
Languages : en
Pages :
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Book Description
The 4th IEEE International Future Energy Electronics Conference (IFEEC 2019), as a biannual event, continues its traditions to bring together academicians, students, researchers and practicing engineers from all over the world to present emerging topics on electronic technologies for future energy applications The IFEEC 2019 is organized by IEEE Power Electronics Society, Taiwan Power Electronics Association (TaiPEA), and Nanyang Technological University and technically co sponsored by IEE Japan Industry Applications (IEEJ IAS), Korean Institution of Power Electronics (KIPE), National Cheng Kung University (NCKU), Hierarchical Green Energy Materials (Hi GEM) Research Center, and National Applied Research Laboratories (NARL)
Author: Radek Silhavy
Publisher: Springer Nature
ISBN: 3030519651
Category : Technology & Engineering
Languages : en
Pages : 621
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Book Description
This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.
Author: Johan A. K. Suykens
Publisher: Springer Science & Business Media
ISBN: 9780792381952
Category : Language Arts & Disciplines
Languages : en
Pages : 284
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Book Description
This collection of eight contributions presents advanced black-box techniques for nonlinear modeling. The methods discussed include neural nets and related model structures for nonlinear system identification, enhanced multi-stream Kalman filter training for recurrent networks, the support vector method of function estimation, parametric density estimation for the classification of acoustic feature vectors in speech recognition, wavelet based modeling of nonlinear systems, nonlinear identification based on fuzzy models, statistical learning in control and matrix theory, and nonlinear time- series analysis. The volume concludes with the results of a time- series prediction competition held at a July 1998 workshop in Belgium. Annotation copyrighted by Book News, Inc., Portland, OR.
Author: Jeff Heaton
Publisher: Heaton Research Incorporated
ISBN: 097732060X
Category : Computers
Languages : en
Pages : 380
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Book Description
In addition to showing the programmer how to construct Neural Networks, the book discusses the Java Object Oriented Neural Engine (JOONE), a free open source Java neural engine. (Computers)
Author: Shunli Wang
Publisher: Elsevier
ISBN: 0323904335
Category : Science
Languages : en
Pages : 356
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Book Description
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
