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Book Development of Algorithms for Battery SoC Estimation in Hybrid Vehicles

Download or read book Development of Algorithms for Battery SoC Estimation in Hybrid Vehicles written by Md Navid Bin Anwar and published by GRIN Verlag. This book was released on 2015-05-08 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2013 in the subject Electrotechnology, grade: 2.3, RWTH Aachen University (Institut für Stromrichtertechnik und Elektrische Antriebe (ISEA)), language: English, abstract: The accurate state of charge (SOC) is required for the battery for hybrid electric vehicles (HEV). Because HEV batteries, a widely fluctuating current profile; partial recharging phases (regenerative braking); inadequate lifetimes to date; expanding market and strong competition from other battery technologies is a major drawback in this application. Though as lead acid batteries are improved as well, they are widely used for micro hybrid vehicles, and the types of lead acid batteries, which are used in micro hybrid cars are quite similar to starter batteries. The motivation of this thesis work is to eliminate the drawback and determine the SoC of the energy storage system (lead acid battery) in the HEV. Because the conventional SoC determination method (e.g. coulomb counting, chemical method, voltage method etc) cannot measure the SoC correctly. In this thesis, I studied, analysed and compared different published research works and proposed a new approach by using electromotive force (EMF) to calculate SoC, which was successfully developed and validated.

Book Battery Management Algorithm for Electric Vehicles

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.

Book Advanced Battery Management Technologies for Electric Vehicles

Download or read book Advanced Battery Management Technologies for Electric Vehicles written by Rui Xiong and published by John Wiley & Sons. This book was released on 2019-02-26 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. Offers up-to-date coverage of modern battery management technology and practice Provides case studies of real-world engineering applications Guides readers from electric vehicle fundamentals to advanced battery management topics Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers.

Book Battery Management Systems of Electric and Hybrid Electric Vehicles

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

Book State of Charge Estimation for Batteries

Download or read book State of Charge Estimation for Batteries written by Baskar Vairamohan and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a methodology to accurately estimate the state of charge (SOC) of the batteries used in Hybrid Electric Vehicles (HEV) is proposed. A linear relationship exists between open circuit voltage (Voc) and SOC. In the proposed scheme, a system theory approach is employed to identify the open circuit voltage of the battery, from which the state of charge of the battery is determined. This method is very unique because it estimates the Voc of the battery in the vehicle even under load conditions. A state variable approach yields a set of non-linear time varying equations that describe the dynamics of the battery. This non-linear time varying system is reduced to a linear time varying system by making certain reasonable assumptions. The observability Gramian is calculated for the new linearized system from which Voc is identified. The terminal voltage and the discharging current measurements are obtained from the battery with the help of ABC-150, a programmable power processing system. The SOC estimation of the battery underdischarging conditions alone is considered in this thesis. The Voc is then used to estimate the state of charge of the battery by exploiting the linear relationship between them. The results of applying the proposed technique are found to be comparable to the actual experimental results.

Book Battery Management Systems

    Book Details:
  • Author : Valer Pop
  • Publisher : Springer Science & Business Media
  • Release : 2008-05-28
  • ISBN : 1402069456
  • Pages : 238 pages

Download or read book Battery Management Systems written by Valer Pop and published by Springer Science & Business Media. This book was released on 2008-05-28 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Download or read book Neural Network Based State of Charge and State of Health Estimation written by Qi Huang and published by Cambridge Scholars Publishing. This book was released on 2023-11-16 with total page 164 pages. 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.

Book Planning and operation of hybrid renewable energy systems  volume II

Download or read book Planning and operation of hybrid renewable energy systems volume II written by Weihao Hu and published by Frontiers Media SA. This book was released on 2023-06-06 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Battery Management System for Future Electric Vehicles

Download or read book Battery Management System for Future Electric Vehicles written by Dirk Söffker and published by MDPI. This book was released on 2020-11-09 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.

Book International Conference on Advanced Intelligent Systems for Sustainable Development

Download or read book International Conference on Advanced Intelligent Systems for Sustainable Development written by Janusz Kacprzyk and published by Springer Nature. This book was released on 2023-06-11 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Book Hybrid Battery State Estimation Framework and Advanced Algorithm Development

Download or read book Hybrid Battery State Estimation Framework and Advanced Algorithm Development written by Yihuan Li and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Download or read book Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles written by Chitra A. and published by John Wiley & Sons. This book was released on 2020-07-21 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.

Book Advanced Energy Storage Technologies and Their Applications  AESA

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

Book Electric Vehicle Battery Systems

Download or read book Electric Vehicle Battery Systems written by Sandeep Dhameja and published by Elsevier. This book was released on 2001-10-30 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric Vehicle Battery Systems provides operational theory and design guidance for engineers and technicians working to design and develop efficient electric vehicle (EV) power sources. As Zero Emission Vehicles become a requirement in more areas of the world, the technology required to design and maintain their complex battery systems is needed not only by the vehicle designers, but by those who will provide recharging and maintenance services, as well as utility infrastructure providers. Includes fuel cell and hybrid vehicle applications.Written with cost and efficiency foremost in mind, Electric Vehicle Battery Systems offers essential details on failure mode analysis of VRLA, NiMH battery systems, the fast-charging of electric vehicle battery systems based on Pb-acid, NiMH, Li-ion technologies, and much more. Key coverage includes issues that can affect electric vehicle performance, such as total battery capacity, battery charging and discharging, and battery temperature constraints. The author also explores electric vehicle performance, battery testing (15 core performance tests provided), lithium-ion batteries, fuel cells and hybrid vehicles. In order to make a practical electric vehicle, a thorough understanding of the operation of a set of batteries in a pack is necessary. Expertly written and researched, Electric Vehicle Battery Systems will prove invaluable to automotive engineers, electronics and integrated circuit design engineers, and anyone whose interests involve electric vehicles and battery systems. * Addresses cost and efficiency as key elements in the design process* Provides comprehensive coverage of the theory, operation, and configuration of complex battery systems, including Pb-acid, NiMH, and Li-ion technologies* Provides comprehensive coverage of the theory, operation, and configuration of complex battery systems, including Pb-acid, NiMH, and Li-ion technologies

Book New Trends in Electrical Vehicle Powertrains

Download or read book New Trends in Electrical Vehicle Powertrains written by Luis Romeral Martinez and published by BoD – Books on Demand. This book was released on 2019-01-30 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electric vehicle and plug-in hybrid electric vehicle play a fundamental role in the forthcoming new paradigms of mobility and energy models. The electrification of the transport sector would lead to advantages in terms of energy efficiency and reduction of greenhouse gas emissions, but would also be a great opportunity for the introduction of renewable sources in the electricity sector. The chapters in this book show a diversity of current and new developments in the electrification of the transport sector seen from the electric vehicle point of view: first, the related technologies with design, control and supervision, second, the powertrain electric motor efficiency and reliability and, third, the deployment issues regarding renewable sources integration and charging facilities. This is precisely the purpose of this book, that is, to contribute to the literature about current research and development activities related to new trends in electric vehicle power trains.

Book The Handbook of Lithium Ion Battery Pack Design

Download or read book The Handbook of Lithium Ion Battery Pack Design written by John T. Warner and published by Elsevier. This book was released on 2024-05-15 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Lithium-Ion Battery Pack Design: Chemistry, Components, Types and Terminology,?Second Edition provides a clear and concise explanation of EV and Li-ion batteries for readers that are new to the field. The second edition expands and updates all topics covered in the original book, adding more details to all existing chapters and including major updates to align with all of the rapid changes the industry has experienced over the past few years. This handbook offers a layman’s explanation of the history of vehicle electrification and battery technology, describing the various terminology and acronyms and explaining how to do simple calculations that can be used in determining basic battery sizing, capacity, voltage, and energy. By the end of this book the reader will have a solid understanding of the terminology around Li-ion batteries and be able to undertake simple battery calculations. The book is immensely useful to beginning and experienced engineers alike who are moving into the battery field. Li-ion batteries are one of the most unique systems in automobiles today in that they combine multiple engineering disciplines, yet most engineering programs focus on only a single engineering field. This book provides the reader with a reference to the history, terminology and design criteria needed to understand the Li-ion battery and to successfully lay out a new battery concept. Whether you are an electrical engineer, a mechanical engineer or a chemist, this book will help you better appreciate the inter-relationships between the various battery engineering fields that are required to understand the battery as an Energy Storage System. It gives great insights for readers ranging from engineers to sales, marketing, management, leadership, investors, and government officials. Adds a brief history of battery technology and its evolution to current technologies? Expands and updates the chemistry to include the latest types Discusses thermal runaway and cascading failure mitigation technologies? Expands and updates the descriptions of the battery module and pack components and systems?? Adds description of the manufacturing processes for cells, modules, and packs? Introduces and discusses new topics such as battery-as-a-service, cell to pack and cell to chassis designs, and wireless BMS?

Book Deep Reinforcement Learning based Energy Management for Hybrid Electric Vehicles

Download or read book Deep Reinforcement Learning based Energy Management for Hybrid Electric Vehicles written by Li Yeuching and published by Springer Nature. This book was released on 2022-06-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.