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Neural Network-Based State-of-Charge and State-of-Health Estimation

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Release : 2023-11-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 187/5 ( reviews)

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Book Synopsis Neural Network-Based State-of-Charge and State-of-Health Estimation by : Qi Huang

Download or read book Neural Network-Based State-of-Charge and State-of-Health Estimation written by Qi Huang. This book was released on 2023-11-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

NEURAL NETWORK-BASED STATE-OF-CHARGE AND STATE-OF-HEALTH ESTIMATION.

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Release : 2023
Genre :
Kind : eBook
Book Rating : 173/5 ( reviews)

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Book Synopsis NEURAL NETWORK-BASED STATE-OF-CHARGE AND STATE-OF-HEALTH ESTIMATION. by : QI. HUANG

Download or read book NEURAL NETWORK-BASED STATE-OF-CHARGE AND STATE-OF-HEALTH ESTIMATION. written by QI. HUANG. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning with Python

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Release : 2017-04-18
Genre : Computers
Kind : eBook
Book Rating : 662/5 ( reviews)

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Book Synopsis Deep Learning with Python by : Nikhil Ketkar

Download or read book Deep Learning with Python written by Nikhil Ketkar. This book was released on 2017-04-18. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Integrated System Health Management

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Release : 2017-05-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 68X/5 ( reviews)

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Book Synopsis Integrated System Health Management by : Jiuping Xu

Download or read book Integrated System Health Management written by Jiuping Xu. This book was released on 2017-05-18. Available in PDF, EPUB and Kindle. Book excerpt: ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors. This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering. Solves prognostic information selection and decision-level information fusion issues Presents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessment Proposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systems Explains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction

Advanced Electric Drive Vehicles

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Release : 2014-10-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 690/5 ( reviews)

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Book Synopsis Advanced Electric Drive Vehicles by : Ali Emadi

Download or read book Advanced Electric Drive Vehicles written by Ali Emadi. This book was released on 2014-10-24. Available in PDF, EPUB and Kindle. Book excerpt: Electrification is an evolving paradigm shift in the transportation industry toward more efficient, higher performance, safer, smarter, and more reliable vehicles. There is in fact a clear trend to move from internal combustion engines (ICEs) to more integrated electrified powertrains. Providing a detailed overview of this growing area, Advanced Electric Drive Vehicles begins with an introduction to the automotive industry, an explanation of the need for electrification, and a presentation of the fundamentals of conventional vehicles and ICEs. It then proceeds to address the major components of electrified vehicles—i.e., power electronic converters, electric machines, electric motor controllers, and energy storage systems. This comprehensive work: Covers more electric vehicles (MEVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), range-extended electric vehicles (REEVs), and all-electric vehicles (EVs) including battery electric vehicles (BEVs) and fuel cell vehicles (FCVs) Describes the electrification technologies applied to nonpropulsion loads, such as power steering and air-conditioning systems Discusses hybrid battery/ultra-capacitor energy storage systems, as well as 48-V electrification and belt-driven starter generator systems Considers vehicle-to-grid (V2G) interface and electrical infrastructure issues, energy management, and optimization in advanced electric drive vehicles Contains numerous illustrations, practical examples, case studies, and challenging questions and problems throughout to ensure a solid understanding of key concepts and applications Advanced Electric Drive Vehicles makes an ideal textbook for senior-level undergraduate or graduate engineering courses and a user-friendly reference for researchers, engineers, managers, and other professionals interested in transportation electrification.

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