[PDF] Neural Network Based State Of Charge And State Of Health Estimation - eBooks Review

Neural Network Based State Of Charge And State Of Health Estimation


Neural Network Based State Of Charge And State Of Health Estimation
DOWNLOAD

Download Neural Network Based State Of Charge And State Of Health Estimation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neural Network Based State Of Charge And State Of Health Estimation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Neural Network Based State Of Charge And State Of Health Estimation


Neural Network Based State Of Charge And State Of Health Estimation
DOWNLOAD
Author : Qi Huang
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-11-16

Neural Network Based State Of Charge And State Of Health Estimation written by Qi Huang and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-16 with Technology & Engineering categories.


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


Neural Network Based State Of Charge And State Of Health Estimation
DOWNLOAD
Author : QI. HUANG
language : en
Publisher:
Release Date : 2023

Neural Network Based State Of Charge And State Of Health Estimation written by QI. HUANG and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.




Deep Learning With Python


Deep Learning With Python
DOWNLOAD
Author : Nikhil Ketkar
language : en
Publisher: Apress
Release Date : 2017-04-18

Deep Learning With Python written by Nikhil Ketkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-18 with Computers categories.


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.



Modeling And State Estimation Of Automotive Lithium Ion Batteries


Modeling And State Estimation Of Automotive Lithium Ion Batteries
DOWNLOAD
Author : Shunli Wang
language : en
Publisher: CRC Press
Release Date : 2024-07-16

Modeling And State Estimation Of Automotive Lithium Ion Batteries written by Shunli Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Science categories.


This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry and provide students of science and engineering with some innovative aspects of battery modeling.



Integrated System Health Management


Integrated System Health Management
DOWNLOAD
Author : Jiuping Xu
language : en
Publisher: Academic Press
Release Date : 2017-05-18

Integrated System Health Management written by Jiuping Xu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-18 with Technology & Engineering categories.


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



Battery Management Systems


Battery Management Systems
DOWNLOAD
Author : Valer Pop
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-28

Battery Management Systems written by Valer Pop and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-28 with Science categories.


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.



State Estimation Strategies In Lithium Ion Battery Management Systems


State Estimation Strategies In Lithium Ion Battery Management Systems
DOWNLOAD
Author : Shunli Wang
language : en
Publisher: Elsevier
Release Date : 2023-07-14

State Estimation Strategies In Lithium Ion Battery Management Systems written by Shunli Wang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Business & Economics categories.


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



Multidimensional Lithium Ion Battery Status Monitoring


Multidimensional Lithium Ion Battery Status Monitoring
DOWNLOAD
Author : Shunli Wang
language : en
Publisher: CRC Press
Release Date : 2022-12-28

Multidimensional Lithium Ion Battery Status Monitoring written by Shunli Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-28 with Technology & Engineering categories.


Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.



Recycling Of Lithium Ion Batteries


Recycling Of Lithium Ion Batteries
DOWNLOAD
Author : Arno Kwade
language : en
Publisher: Springer
Release Date : 2017-12-12

Recycling Of Lithium Ion Batteries written by Arno Kwade and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-12 with Technology & Engineering categories.


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.



Fuzzy Filter Based State Of Energy Estimation For Lithium Ion Batteries


Fuzzy Filter Based State Of Energy Estimation For Lithium Ion Batteries
DOWNLOAD
Author : Shunli Wang
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2024-03-21

Fuzzy Filter Based State Of Energy Estimation For Lithium Ion Batteries written by Shunli Wang and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-21 with Technology & Engineering categories.


Awareness of the safety issues of lithium-ion batteries is crucial in the development of new energy technologies, and real-time and high-precision State of Energy (SOE) estimation is not only a prerequisite for battery safety, but also serves as the basis for predicting the remaining driving range of electric vehicles and aircrafts. In order to achieve real-time and accurate estimation of the energy state of lithium-ion batteries, this book improves the calculation method of the open-circuit voltage in the traditional second-order RC equivalent circuit model. It also combines a fuzzy controller and a dual-weighted multi-innovation algorithm to optimize the traditional Centralized Kalman Filter (CKF) algorithm in terms of the aspects of convergence speed, estimation accuracy, and algorithm robustness. This enables the precise estimation of SOE and the maximum available energy. The content of this book provides theoretical support for the development of new energy initiatives.