Data-Driven State of Health Estimation in Sparsely Sampled Lead-Acid Battery Packs PDF Download
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Author: Gabriel Worman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Batteries degrade over time, so estimating their state of health (SoH) is critical to proper functioning of battery packs. Electric vehicles (EVs) in particular, can stall if the battery pack does not provide sufficient voltage to operate the electric motors (Vmin). The battery voltage depends on its state of charge (SoC), capacity (Q), internal resistance (IR), and discharge current (I). SoC and I are dynamic functions of time that vary during driving. Q and IR slowly change over time due to cell temperature and aging. In this work, three parameters associated with battery SoH are estimated from EV lab and field data, Q, IR, and cyclic Vmin. The data are collected from golf cars powered by six 8 V valve regulated lead-acid absorbent glass mat batteries. One EV is tested in a lab environment and the others are in use at a golf course. Data are sampled every five minutes for eight months and include max, min, average and instantaneous voltage and current, integrated current, and temperature. Q is estimated using discharge SoC and current throughput. IR is estimated using voltage and current during charging and compensated for temperature variations. Finally, the cyclic minimum voltage is tracked. The field and lab test data show aging trends for each of the three SoH parameters. Linear approximations are applied to these trends, with low mean absolute errors (MAE) seen for all batteries. Average MAE for Q is 11.83 Ah, with a standard deviation of 2.56 Ah. Average MAE for Vmin is 0.14 V, with a standard deviation of 0.064 V. Average MAE for IR is 3.31 m$\Omega$ with a standard deviation of 0.73 m$\Omega$. The lab data show similar trends, but with much smaller MAE.
Author: Gabriel Worman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Batteries degrade over time, so estimating their state of health (SoH) is critical to proper functioning of battery packs. Electric vehicles (EVs) in particular, can stall if the battery pack does not provide sufficient voltage to operate the electric motors (Vmin). The battery voltage depends on its state of charge (SoC), capacity (Q), internal resistance (IR), and discharge current (I). SoC and I are dynamic functions of time that vary during driving. Q and IR slowly change over time due to cell temperature and aging. In this work, three parameters associated with battery SoH are estimated from EV lab and field data, Q, IR, and cyclic Vmin. The data are collected from golf cars powered by six 8 V valve regulated lead-acid absorbent glass mat batteries. One EV is tested in a lab environment and the others are in use at a golf course. Data are sampled every five minutes for eight months and include max, min, average and instantaneous voltage and current, integrated current, and temperature. Q is estimated using discharge SoC and current throughput. IR is estimated using voltage and current during charging and compensated for temperature variations. Finally, the cyclic minimum voltage is tracked. The field and lab test data show aging trends for each of the three SoH parameters. Linear approximations are applied to these trends, with low mean absolute errors (MAE) seen for all batteries. Average MAE for Q is 11.83 Ah, with a standard deviation of 2.56 Ah. Average MAE for Vmin is 0.14 V, with a standard deviation of 0.064 V. Average MAE for IR is 3.31 m$\Omega$ with a standard deviation of 0.73 m$\Omega$. The lab data show similar trends, but with much smaller MAE.
Author: Qi Huang
Publisher: Springer Nature
ISBN: 9819953448
Category : Technology & Engineering
Languages : en
Pages : 101
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Book Description
This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.
Author: Alexander Paul Bartlett
Publisher:
ISBN:
Category :
Languages : en
Pages : 251
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Book Description
Vehicle electrification continues to be a key topic of interest for automotive manufacturers, in an effort to reduce the usage of fossil fuel energy and improve vehicle efficiency. Lithium-ion batteries are currently the technology of choice for hybrid and electric vehicles due to their decreasing cost and improved power and energy density over traditional lead-acid or nickel-metal-hydride batteries. In particular, batteries with composite electrodes have seen increased use in automotive applications due to their ability to balance energy density, power density, and cost by adjusting the amount of each material within the electrode. However, this improved performance introduces new challenges to ensure the battery pack operates safely, reliably, and durably. The vehicle's battery management system (BMS) is designed to meet these challenges, in part, by estimating the battery state of charge (SOC) and state of health (SOH). Knowledge of SOC allows the BMS to predict the available instantaneous power while ensuring the battery is operating within safe limits. As batteries age, they lose capacity and the ability to deliver power. Therefore, tracking the battery SOH is necessary to maintain accurate estimates of SOC and power throughout the battery life and give an accurate miles-to-empty metric to the driver.
Author: Remus Teodorescu
Publisher:
ISBN: 9783036598758
Category : Science
Languages : en
Pages : 0
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Book Description
This reprint aims to showcase manuscripts presenting efficient SOH estimation methods using AI which exhibit good performance such as high accuracy, high robustness against the changes in working conditions, and good generalization, etc. Lithium-ion batteries have a wide range of applications, but one of their biggest problems is their limited lifetime due to performance degradation during usage. It is, therefore, essential to determine the battery's state of health (SOH) so that the battery management system can control the battery, enabling it to run in the best state and thus prolonging its lifetime. Artificial intelligence (AI) technologies possess immense potential in inferring battery SOH and can extract aging information (i.e., SOH features) from measurements and relate them to battery performance parameters, avoiding a complex battery modeling process.
Author: Zhuo Wang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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: Maria Carmen Falvo
Publisher: MDPI
ISBN: 3036504885
Category : Technology & Engineering
Languages : en
Pages : 690
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Book Description
Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.
Author: Celina Mikolajczak
Publisher: Springer Science & Business Media
ISBN: 1461434858
Category : Technology & Engineering
Languages : en
Pages : 126
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Book Description
Lithium-Ion Batteries Hazard and Use Assessment examines the usage of lithium-ion batteries and cells within consumer, industrial and transportation products, and analyzes the potential hazards associated with their prolonged use. This book also surveys the applicable codes and standards for lithium-ion technology. Lithium-Ion Batteries Hazard and Use Assessment is designed for practitioners as a reference guide for lithium-ion batteries and cells. Researchers working in a related field will also find the book valuable.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309142393
Category : Law
Languages : en
Pages : 348
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Book Description
Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.
Author: John A. Vaughn
Publisher: Springer Nature
ISBN: 303056309X
Category : Medical
Languages : en
Pages : 336
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Book Description
This unique and comprehensive title offers state-of-the-art guidance on all of the clinical principles and practices needed in providing optimal health and well-being services for college students. Designed for college health professionals and administrators, this highly practical title is comprised of 24 chapters organized in three sections: Common Clinical Problems in College Health, Organizational and Administrative Considerations for College Health, and Population and Public Health Management on a College Campus. Section I topics include travel health services, tuberculosis, eating disorders in college health, and attention deficit hyperactivity disorder among college students, along with several other chapters. Subsequent chapters in Section II then delve into topics such as supporting the health and well-being of a diverse student population, student veterans, health science students, student safety in the clinical setting, and campus management of infectious disease outbreaks, among other topics. The book concludes with organizational considerations such as unique issues in the practice of medicine in the institutional context, situating healthcare within the broader context of wellness on campus, organizational structures of student health, funding student health services, and delivery of innovative healthcare services in college health. Developed by a renowned, multidisciplinary authorship of leaders in college health theory and practice, and coinciding with the founding of the American College Health Association 100 years ago, Principles and Practice of College Health will be of great interest to college health and well-being professionals as well as college administrators.
