Download or read book Fault Diagnosis for Lithium ion Battery System of Hybrid Electric Aircraft written by Ye Cheng and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aircraft industry, commercial utilities, and federal agencies, such as NASA, are investing in aircraft solutions for a more sustainable, cleaner, and quieter transportation solutions for people and cargo. One option that is actively considered is that of a hybrid-electric aircraft, and in this application the energy storage system (ESS) may consist of thousands or even tens of thousands of cells. These cells are then connected in series and in parallel to form modules, which then are assembled into battery packs to meet energy and power requirements, resulting in systems that are large-dimensional and that have complex interconnections. Because of differences in cell electrical and thermal characteristics and in cell aging, the energy/power density and the durability and safety of the battery packs will be reduced to a certain extent compared with individual cells. It is therefore very important to design a battery management system (BMS) that can enable cell level monitoring and that is capable of diagnosing faults that are considered to be critical. This dissertation presents some design aspects for a battery pack intended for aviation application and its BMS considering safety, health and safety monitoring, and diagnostics. Generalized equivalent circuit models (GECMs) are used to predict the overall battery pack performance and to investigate the different behavior of different battery pack architectures in the case of cell-to-cell parameter variations or in the case of faults. A comparative analysis between different battery pack architectures is conducted as well, to determine a better architecture that is more reliable in the case of a cell fault. A set of critical faults is selected for fault modeling to augment the battery cell model and pack model. The battery pack model with fault modeling is then used in a Software-In-the-Loop (SIL) framework under the NASA ULI hybrid turbo-electric aircraft case scenario with the purpose of understanding the performance of the battery system under different fault cases. A systematic model-based diagnostic methodology called structural analysis is used to determine the sensor placement strategies that are needed by the BMS to improve its ability to monitor and diagnose the battery system. The degree of analytical redundancy (AR) in the battery system that can be used for diagnostic strategies is determined using the tools of structural analysis. Structural models of different battery pack architectures are used to study how different measurements (current, voltage, and temperature) may improve the ability to monitor and diagnose a battery system. Possible sensor placement strategies that would enable the diagnosis of a set of critical faults for different battery pack topologies are analyzed as well. The optimal sensor sets that can meet both typical BMS requirements and also provide the necessary FDI requirements for the two fundamental battery architectures are determined using this novel methodology. A distributed fault diagnosis scheme is then proposed for a lithium-ion battery pack that can effectively detect and isolate individual cell faults, connection faults and sensor faults. The fault diagnostic algorithms are evaluated within the SIL simulation framework to show the functionalities of the proposed FDI scheme. This dissertation represents the first systematic approach to the design of battery systems for aviation applications that explicitly considers fault diagnosis and fault tolerance.

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 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 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 The Use of Electric Batteries for Civil Aircraft Applications written by Michael Waller and published by SAE International. This book was released on 2018-12-10 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Use of Electric Batteries for Civil Aircraft Applications is a comprehensive and focused collection of SAE International technical papers, covering both the past and the present of the efforts to develop batteries that can be specifically installed in commercial aircraft. Recently, major commercial aircraft manufacturers started investigating the possibility of using Li-Ion batteries at roughly the same time that the military launched their first applications. As industry events unfolded, the FAA and committees from RTCA and SAE continued efforts to create meaningful standards for the design, testing, and certification of Li-Ion battery systems for commercial aviation. The first document issued was RTCA DO-311 on Mar. 13, 2008. As the industry continues to develop concepts and designs for the safe utilization of the new Li-Ion battery systems, many are already working on designs for all-electric aircraft, and small two-seat training aircraft are currently flying. The challenges for an all-electric, transport category aircraft will be significant, and the battery design ranks as one of the greatest. The more energy that is packaged into a small area to provide for the propulsion requirements, the more stringent are the design parameters and mitigation methodologies needed to make the system safe. The success or failure of this endeavor lies squarely on the shoulders of the engineers and scientists developing these new systems, and places additional pressure on the regulatory agencies to acquire the relevant knowledge for the creation of minimum operational performance standards for them. Edited by Michael Waller, an industry veteran, The Use of Electric Batteries for Civil Aircraft Applications, is a must-read for those interested in the new power generation making its way into commercial aircraft.

Download or read book Nano Technology for Battery Recycling Remanufacturing and Reusing written by Siamak Farhad and published by Elsevier. This book was released on 2022-04-28 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nanotechnology for Battery Recycling, Remanufacturing, and Reusing explores how nanotechnology is currently being used in battery recycling, remanufacturing and reusing technologies to make them economically and environmentally feasible. The book shows how nanotechnology can be used to enhance and improve battery recycling, remanufacturing and reusing technologies, covering the fundamentals of battery recycling, remanufacturing and reusing technologies, the role of nanotechnology, the separation, regeneration and reuse of nanomaterials from battery waste, nano-enabled approaches for battery recycling, and nano-enabled approaches for battery remanufacturing and reusing. This book will help researchers and engineers to better understand the role of nanotechnology in the field of battery recycling, remanufacturing and reusing. It will be an important reference source for materials scientists and engineers who would like to learn more about how nanotechnology is being used to create new battery recycling processes. - Outlines practical and cost-efficient processes for recycling and reusing batteries - Highlights the different types of nanomaterials used in battery recycling processes - Assesses major challenges with integrating nanotechnology into battery manufacturing processes on an industrial scale

Download or read book Fault Diagnosis and Reconfiguration in Flight Control Systems written by C. Hajiyev and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of fault diagnosis and reconfigurable control is a new and actually developing field of science and engineering. The subject becomes more interesting since there is an increasing demand for the navigation and control systems of aerospace vehicles, automated actuators etc. to be more safe and reliable. Nowadays, the problems of fault detection and isolation and reconfigurable control attract the attention the scientists in the world. The subject is emphasized in the recent international congresses such as IF AC World Congresses (San Francisco-1996, Beijing-1999, and Barcelona-2002) and lMEKO World Congresses (Tampere-1997, Osaka-1999, Vienna-2000), and also in the international conferences on fault diagnosis such as SAFEPROCESS Conferences (Hull-1997, Budapest-2000). The presented methods in the book are based on linear and nonlinear dynamic mathematical models of the systems. Technical objects and systems stated by these models are very large, and include various control systems, actuators, sensors, computer systems, communication systems, and mechanical, hydraulic, pneumatic, electrical and electronic devices. The analytical fault diagnosis techniques of these objects have been developed for several decades. Many of those techniques are based on the use of the results of modem control theory. This is natural, because it is known that fault diagnosis process in control systems is considered as a part of general control process. xxii In organization of fault diagnosis of control systems, the use of the concepts and methods of modem control theory including concepts of state space, modeling, controllability, observability, estimation, identification, and filtering is very efficient.

Download or read book Emerging Technologies for Electric and Hybrid Vehicles written by Jesús Manuel González Pérez and published by MDPI. This book was released on 2018-10-17 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Emerging Technologies for Electric and Hybrid Vehicles" that was published in energies

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 Smart Lithium ion Battery Power System with Fault Diagnosis and Fault Tolerant Design written by Zuchang Gao and published by . This book was released on 2018 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fault Diagnosis and Failure Prognostics of Lithium ion Battery written by Mohammed Lskaafi and published by . This book was released on 2016-03-08 with total page 148 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 Self redundant Real time Fault Diagnosis of Battery Systems in Electrified Vehicles written by Bing Xia and published by . This book was released on 2017 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: As electrified vehicles penetrate the market, consumers have been gradually experiencing the benefits of their high performance and contribution towards green living. However, the benefits of the new powertrain system bring with them many severe safety hazards, which hinder their development. The early detection of electric faults is an essential approach to identifying the occurrence of hazards and ensuring safe operation. This thesis studies state-of-the-art fault diagnosis methods for the battery system in electrified vehicles. Based on the uniqueness of the battery system, the self-redundant fault detection methods are proposed and studied in detail. First, abundant experiments are conducted to capture the electrical and thermal behaviors of the lithium ion battery cells, serving as the basic energy storage elements in the commercial battery packs nowadays, and the simple threshold-based fault detection method is implemented to identify electric faults, including over charge, over discharge, external short circuit and internal short circuit. Then, the model-based fault detection method is investigated to compensate the drawback of the threshold-based diagnosis method, in which the input information is ignored. The continuous-time system identification methods are introduced to estimate model parameters of the equivalent circuit model. The estimated model provides more accurate and robust fault detection performance compared with that of the traditional discrete-time system identification methods. Next, the correlation-based fault diagnosis method is proposed for short circuit detections in the battery system. This method does not require the preliminary effort in battery modeling, identification and validation. More importantly, the correlation coefficient is not sensitive to variations in open circuit voltages and internal resistances, and thus is robust to cell inconsistencies in real applications. After that, the theory of the interleaved voltage measurement method is developed to distinguish between sensor and cell failure without extra hardware components or battery models. The theory is then improved such that the constraint in sensor topology is removed by varying the sensor matrix. The feasibility of the measurement method is validated by simulation and experiment. At last, the interleaved voltage measurement method is integrated with the correlation-based fault diagnosis method to achieve both the advantages. The viability of the integration is confirmed by experiment validation. In summary, this thesis develops the self-redundant fault diagnosis approaches, including the correlation-based short circuit detection method and the interleaved voltage measurement method. These methods are specifically designed for the battery system, in which duplicative components and similar measurements are needed. The advantages of the proposed self-redundant fault diagnosis methods over the state-of-the-art redundancy-based methods are listed as follows, 1) The implementation of hardware redundancy is not necessary. 2) No cell testing, modeling and validation work are required. 3) The method is robust to cell inconsistencies in state of charge and state of health. 4) The ambiguity in cell and sensor failure is resolved upon fault occurrence. The disadvantages of the proposed fault detection methods are, 1) More computation power is needed to calculate the correlation coefficient and solve the sensor matrices online. 2) The noise level of the voltage measurements is increased.

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 Lithium Ion Batteries Hazard and Use Assessment written by Celina Mikolajczak and published by Springer Science & Business Media. This book was released on 2012-03-23 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Commercial Aircraft Propulsion and Energy Systems Research written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-08-09 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary human activities that release carbon dioxide (CO2) into the atmosphere are the combustion of fossil fuels (coal, natural gas, and oil) to generate electricity, the provision of energy for transportation, and as a consequence of some industrial processes. Although aviation CO2 emissions only make up approximately 2.0 to 2.5 percent of total global annual CO2 emissions, research to reduce CO2 emissions is urgent because (1) such reductions may be legislated even as commercial air travel grows, (2) because it takes new technology a long time to propagate into and through the aviation fleet, and (3) because of the ongoing impact of global CO2 emissions. Commercial Aircraft Propulsion and Energy Systems Research develops a national research agenda for reducing CO2 emissions from commercial aviation. This report focuses on propulsion and energy technologies for reducing carbon emissions from large, commercial aircraftâ€" single-aisle and twin-aisle aircraft that carry 100 or more passengersâ€"because such aircraft account for more than 90 percent of global emissions from commercial aircraft. Moreover, while smaller aircraft also emit CO2, they make only a minor contribution to global emissions, and many technologies that reduce CO2 emissions for large aircraft also apply to smaller aircraft. As commercial aviation continues to grow in terms of revenue-passenger miles and cargo ton miles, CO2 emissions are expected to increase. To reduce the contribution of aviation to climate change, it is essential to improve the effectiveness of ongoing efforts to reduce emissions and initiate research into new approaches.

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: