Download or read book Fault Diagnosis of Lithium Ion Battery Using Multiple Model Adaptive Estimation written by Amardeep Singh Sidhu and published by . This book was released on 2013 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium ion (Li-ion) batteries have become integral parts of our lives; they are widely used in applications like handheld consumer products, automotive systems, and power tools among others. To extract maximum output from a Li-ion battery under optimal conditions it is imperative to have access to the state of the battery under every operating condition. Faults occurring in the battery when left unchecked can lead to irreversible, and under extreme conditions, catastrophic damage. In this thesis, an adaptive fault diagnosis technique is developed for Li-ion batteries. For the purpose of fault diagnosis the battery is modeled by using lumped electrical elements under the equivalent circuit paradigm. The model takes into account much of the electro-chemical phenomenon while keeping the computational effort at the minimum. The diagnosis process consists of multiple models representing the various conditions of the battery. A bank of observers is used to estimate the output of each model; the estimated output is compared with the measurement for generating residual signals. These residuals are then used in the multiple model adaptive estimation (MMAE) technique for generating probabilities and for detecting the signature faults. The effectiveness of the fault detection and identification process is also dependent on the model uncertainties caused by the battery modeling process. The diagnosis performance is compared for both the linear and nonlinear battery models. The non-linear battery model better captures the actual system dynamics and results in considerable improvement and hence robust battery fault diagnosis in real time. Furthermore, it is shown that the non-linear battery model enables precise battery condition monitoring in different degrees of over-discharge.

Download or read book Electrochemical Model Based Fault Diagnosis of Lithium Ion Battery written by Md Ashiqur Rahman and published by . This book was released on 2015 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gradient free function optimization technique, namely particle swarm optimization (PSO) algorithm, is utilized in parameter identification of the electrochemical model of a Lithium-Ion battery having a LiCoO2 chemistry. Battery electrochemical model parameters are subject to change under severe or abusive operating conditions resulting in, for example, Navy over-discharged battery, 24-hr over-discharged battery, and over-charged battery. It is important for a battery management system to have these parameters changes fully captured in a bank of battery models that can be used to monitor battery conditions in real time. In this work, PSO methodology has been used to identify four electrochemical model parameters that exhibit significant variations under severe operating conditions. The identified battery models were validated by comparing the model output voltage with the experimental output voltage for the stated operating conditions. These identified conditions of the battery were then used to monitor condition of the battery that can aid the battery management system (BMS) in improving overall performance. An adaptive estimation technique, namely multiple model adaptive estimation (MMAE) method, was implemented for this purpose. In this estimation algorithm, all the identified models were simulated for a battery current input profile extracted from the hybrid pulse power characterization (HPPC) cycle simulation of a hybrid electric vehicle (HEV). A partial differential algebraic equation (PDAE) observer was utilized to obtain the estimated voltage, which was used to generate the residuals. Analysis of these residuals through MMAE provided the probability of matching the current battery operating condition to that of one of the identified models. Simulation results show that the proposed model based method offered an accurate and effective fault diagnosis of the battery conditions. This type of fault diagnosis, which is based on the models capturing true physics of the battery electrochemistry, can lead to a more accurate and robust battery fault diagnosis and help BMS take appropriate steps to prevent battery operation in any of the stated severe or abusive conditions.

Download or read book Fault Diagnosis and Failure Prognostics of Lithium ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework written by Mohammed Ali Lskaafi and published by . This book was released on 2015 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: A novel data driven approach is developed for fault diagnosis and remaining useful life (RUL) prognostics for lithium-ion batteries using Least Square Support Vector Machine (LS-SVM) and Memory-Particle Filter (M-PF). Unlike traditional data-driven models for capacity fault diagnosis and failure prognosis, which require multidimensional physical characteristics, the proposed algorithm uses only two variables: Energy Efficiency (EE), and Work Temperature. The aim of this novel framework is to improve the accuracy of incipient and abrupt faults diagnosis and failure prognosis. First, the LSSVM is used to generate residual signal based on capacity fade trends of the Li-ion batteries. Second, adaptive threshold model is developed based on several factors including input, output model error, disturbance, and drift parameter. The adaptive threshold is used to tackle the shortcoming of a fixed threshold. Third, the M-PF is proposed as the new method for failure prognostic to determine Remaining Useful Life (RUL). The M-PF is based on the assumption of the availability of real-time observation and historical data, where the historical failure data can be used instead of the physical failure model within the particle filter. The feasibility of the framework is validated using Li-ion battery prognostic data obtained from the National Aeronautic and Space Administration (NASA) Ames Prognostic Center of Excellence (PCoE). The experimental results show the following: (1) fewer data dimensions for the input data are required compared to traditional empirical models; (2) the proposed diagnostic approach provides an effective way of diagnosing Li-ion battery fault; (3) the proposed prognostic approach can predict the RUL of Li-ion batteries with small error, and has high prediction accuracy; and, (4) the proposed prognostic approach shows that historical failure data can be used instead of a physical failure model in the particle filter.

Download or read book Algorithms for Fault Detection and Diagnosis written by Francesco Ferracuti and published by MDPI. This book was released on 2021-03-19 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing demand for security and reliability in manufacturing and mechatronic systems, early detection and diagnosis of faults are key points to reduce economic losses caused by unscheduled maintenance and downtimes, to increase safety, to prevent the endangerment of human beings involved in the process operations and to improve reliability and availability of autonomous systems. The development of algorithms for health monitoring and fault and anomaly detection, capable of the early detection, isolation, or even prediction of technical component malfunctioning, is becoming more and more crucial in this context. This Special Issue is devoted to new research efforts and results concerning recent advances and challenges in the application of “Algorithms for Fault Detection and Diagnosis”, articulated over a wide range of sectors. The aim is to provide a collection of some of the current state-of-the-art algorithms within this context, together with new advanced theoretical solutions.

Download or read book Progress in Sustainable Aviation written by T. Hikmet Karakoc and published by Springer Nature. This book was released on 2022-11-25 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in Sustainable Aviation looks at recent progress and new technological developments in sustainable aviation, presenting readers with engineering solutions and methodologies for efficiency and cost savings, performance improvement, and emission reduction. Coverage includes alternative fuel types, propulsion technologies, and emission technologies used in different aerial vehicles, such as unmanned aerial vehicles, drones, and passenger aircraft. Operational areas, such as the building of green airports, commercial air transport, and maintenance management are also addressed. This collection will be a valuable reference for researchers, practicing engineers, scientists, and students working in the area of sustainable aviation technology and management. Looks at recent progress in sustainable aviation technologies; Presents alternative aviation fuel types and propulsion technologies; Includes case studies and practical applications.

Download or read book Advanced Technologies in Electric Vehicles written by Vijayakumar Gali and published by Elsevier. This book was released on 2024-02-26 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Technologies in Electric Vehicles: Challenges and Future Research Developments discusses fundamental and advanced concepts, challenges, and future perspectives surrounding EVs. Sections cover advances and long-term challenges such as battery life span, efficiency, and power management systems. In addition, the book covers all aspects of the EV field, including vehicle performance, configuration, control strategy, design methodology, modeling and simulation for different conventional and modern vehicles based on mathematical equations. By tackling the fundamentals, theory and design of conventional electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs), this book presents a comprehensive reference. Investment in hybrid and electric vehicle (EV) technology research has been increasing steadily in recent years, both from governments and within companies. The role of the combustion engine in causing climate change has put the automobile industry on a path of rapid evolution towards electric vehicles, bringing experts with a range of backgrounds into the field. - Provides the latest advances in battery management systems to address power quality issues - Explains step-by-step methodologies for the testing of EV battery systems - Explores the technological options for charging systems and charging infrastructure

Download or read book Battery System Modeling written by Shunli Wang and published by Elsevier. This book was released on 2021-06-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Multidimensional Lithium Ion Battery Status Monitoring written by Shunli Wang and published by CRC Press. This book was released on 2022-12-28 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Tongtong Liu and published by Springer Nature. This book was released on with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Energy Storage Technologies and Their Applications AESA written by Rui Xiong and published by MDPI. This book was released on 2018-02-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advanced Energy Storage Technologies and Their Applications (AESA)" that was published in Energies

Download or read book Adaptive Estimation of Li ion Battery Model Parameters written by Daniyal Ali and published by . This book was released on 2016 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This work presents a novel application of a high gain adaptive observer-based technique for Lithium-ion (Li-ion) battery modeling. The model used in this work was originally developed by Chen and Mora. However, in Chen and Mora’s original work, the parameters required for the battery model were estimated through intensive experimentation. In contrast, this work presents an adaptive observer for estimating the battery model parameters. This results in the reduction of experimental effort required to estimate battery model parameters. The selected model (Chen and Mora’s model) requires twenty one parameters to accurately model a Li-ion battery. This work initially proposes three variations of a high gain adaptive observer-based technique to adaptively tune fifteen of the required parameters accurately. The remaining six parameters related to the shape of the no-load electromotive-force (EMF) curve are obtained via a voltage relaxation test. Based on observations made during simulations of the above proposed techniques, an improved estimation technique is proposed in the latter half of this document, and experimental results validating the proposed technique are presented. Experiments show that the model obtained through this technique is independent of the magnitude and type of load. The improved parameter estimation technique is justified using rigorous mathematical analysis. The proposed improved technique can be used either online or offline for estimating battery model parameters. This may be valuable for automatically updating battery models parameters on-board future smart vehicles in real time."--Abstract

Download or read book Proceedings of the 2nd International Conference on Electronics Biomedical Engineering and Health Informatics written by Triwiyanto Triwiyanto and published by Springer Nature. This book was released on 2022-06-24 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (i) electronics, (ii) biomedical engineering, and (iii) health informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

Download or read book Nonlinear System Fault Diagnosis Based on Adaptive Estimation written by Aiping Xu and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Filter Based Fault Diagnosis and Remaining Useful Life Prediction written by Yong Zhang and published by CRC Press. This book was released on 2023-02-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Download or read book RC Circuit Model based Anomaly Detection for Li ion Batteries written by Tunga R and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased use of Lithium ion batteries in a variety of applications, the presence of an anomaly proves to be a major concern as it not only affects the battery, but also affects the battery operated system. Battery Management System (BMS) can be equipped with various anomaly detection procedures to detect failures and attacks and hence prevent improper functioning and catastrophic events caused by such anomalies. In this research, the Lithium ion battery is modeled into a first order RC equivalent circuit to understand its behavior. Kalman filter is used to estimate the states and an adaptive estimation algorithm is used to estimate the model parameters. Residual based detection mechanism is employed for anomaly detection. By understanding the performance of the detectors and comparing them with each other, they are tuned to detect the zero-alarm attacks which equip them for worst-case attack detection.

Download or read book Battery Management Algorithm for Electric Vehicles written by Rui Xiong and published by Springer Nature. This book was released on 2019-09-23 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.

Download or read book Battery Management Systems of Electric and Hybrid Electric Vehicles written by Nicolae Tudoroiu and published by MDPI. This book was released on 2021-08-30 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge