Battery Management Algorithm For Electric Vehicles

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Battery Management Algorithm for Electric Vehicles

Rui Xiong

Author : Rui Xiong
Publisher : Springer Nature
Page : 310 pages
File Size : 52,6 Mb
Release : 2019-09-23
Category : Technology & Engineering
ISBN : 9789811502484

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Battery Management Algorithm for Electric Vehicles by Rui Xiong Pdf

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.

Advanced Battery Management Technologies for Electric Vehicles

Rui Xiong,Weixiang Shen

Author : Rui Xiong,Weixiang Shen
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 42,5 Mb
Release : 2019-02-26
Category : Technology & Engineering
ISBN : 9781119481645

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Advanced Battery Management Technologies for Electric Vehicles by Rui Xiong,Weixiang Shen Pdf

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.

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles

Jiuchun Jiang,Caiping Zhang

Author : Jiuchun Jiang,Caiping Zhang
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 49,8 Mb
Release : 2015-02-18
Category : Technology & Engineering
ISBN : 9781118414811

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Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang,Caiping Zhang Pdf

A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include: key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

Battery Management Systems of Electric and Hybrid Electric Vehicles

Nicolae Tudoroiu

Author : Nicolae Tudoroiu
Publisher : MDPI
Page : 146 pages
File Size : 49,7 Mb
Release : 2021-08-30
Category : Technology & Engineering
ISBN : 9783036510606

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Battery Management Systems of Electric and Hybrid Electric Vehicles by Nicolae Tudoroiu Pdf

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

Battery Management System for Future Electric Vehicles

Dirk Söffker,Bedatri Moulik

Author : Dirk Söffker,Bedatri Moulik
Publisher : MDPI
Page : 154 pages
File Size : 46,7 Mb
Release : 2020-11-09
Category : Technology & Engineering
ISBN : 9783039433506

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Battery Management System for Future Electric Vehicles by Dirk Söffker,Bedatri Moulik Pdf

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.

Advanced Battery Management System for Electric Vehicles

Shichun Yang,Xinhua Liu,Shen Li,Cheng Zhang

Author : Shichun Yang,Xinhua Liu,Shen Li,Cheng Zhang
Publisher : Springer Nature
Page : 317 pages
File Size : 46,7 Mb
Release : 2022-09-19
Category : Technology & Engineering
ISBN : 9789811934902

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Advanced Battery Management System for Electric Vehicles by Shichun Yang,Xinhua Liu,Shen Li,Cheng Zhang Pdf

The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.

Advances in Battery Manufacturing, Service, and Management Systems

Jingshan Li,Shiyu Zhou,Yehui Han

Author : Jingshan Li,Shiyu Zhou,Yehui Han
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 46,8 Mb
Release : 2016-09-19
Category : Technology & Engineering
ISBN : 9781119060871

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Advances in Battery Manufacturing, Service, and Management Systems by Jingshan Li,Shiyu Zhou,Yehui Han Pdf

Addresses the methodology and theoretical foundation of battery manufacturing, service and management systems (BM2S2), and discusses the issues and challenges in these areas This book brings together experts in the field to highlight the cutting edge research advances in BM2S2 and to promote an innovative integrated research framework responding to the challenges. There are three major parts included in this book: manufacturing, service, and management. The first part focuses on battery manufacturing systems, including modeling, analysis, design and control, as well as economic and risk analyses. The second part focuses on information technology’s impact on service systems, such as data-driven reliability modeling, failure prognosis, and service decision making methodologies for battery services. The third part addresses battery management systems (BMS) for control and optimization of battery cells, operations, and hybrid storage systems to ensure overall performance and safety, as well as EV management. The contributors consist of experts from universities, industry research centers, and government agency. In addition, this book: Provides comprehensive overviews of lithium-ion battery and battery electrical vehicle manufacturing, as well as economic returns and government support Introduces integrated models for quality propagation and productivity improvement, as well as indicators for bottleneck identification and mitigation in battery manufacturing Covers models and diagnosis algorithms for battery SOC and SOH estimation, data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH Presents mathematical models and novel structure of battery equalizers in battery management systems (BMS) Reviews the state of the art of battery, supercapacitor, and battery-supercapacitor hybrid energy storage systems (HESSs) for advanced electric vehicle applications Advances in Battery Manufacturing, Services, and Management Systems is written for researchers and engineers working on battery manufacturing, service, operations, logistics, and management. It can also serve as a reference for senior undergraduate and graduate students interested in BM2S2.

Advances in Battery Technologies for Electric Vehicles

Bruno Scrosati,Jurgen Garche,Werner Tillmetz

Author : Bruno Scrosati,Jurgen Garche,Werner Tillmetz
Publisher : Woodhead Publishing
Page : 546 pages
File Size : 49,5 Mb
Release : 2015-05-25
Category : Technology & Engineering
ISBN : 9781782423980

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Advances in Battery Technologies for Electric Vehicles by Bruno Scrosati,Jurgen Garche,Werner Tillmetz Pdf

Advances in Battery Technologies for Electric Vehicles provides an in-depth look into the research being conducted on the development of more efficient batteries capable of long distance travel. The text contains an introductory section on the market for battery and hybrid electric vehicles, then thoroughly presents the latest on lithium-ion battery technology. Readers will find sections on battery pack design and management, a discussion of the infrastructure required for the creation of a battery powered transport network, and coverage of the issues involved with end-of-life management for these types of batteries. Provides an in-depth look into new research on the development of more efficient, long distance travel batteries Contains an introductory section on the market for battery and hybrid electric vehicles Discusses battery pack design and management and the issues involved with end-of-life management for these types of batteries

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles

Jiuchun Jiang

Author : Jiuchun Jiang
Publisher : Unknown
Page : 300 pages
File Size : 51,9 Mb
Release : 2015
Category : Electronic
ISBN : OCLC:1137162179

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Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang Pdf

A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include : key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles

Angalaeswari, S.,Deepa, T.,Kumar, L. Ashok

Author : Angalaeswari, S.,Deepa, T.,Kumar, L. Ashok
Publisher : IGI Global
Page : 363 pages
File Size : 54,9 Mb
Release : 2023-02-10
Category : Technology & Engineering
ISBN : 9781668466339

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Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles by Angalaeswari, S.,Deepa, T.,Kumar, L. Ashok Pdf

In today’s modern society, to reduce the carbon dioxide gas emission from motor vehicles and to save mother nature, electric vehicles are becoming more practical. As more people begin to see the benefits of this technology, further study on the challenges and best practices is required. Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles focuses on the integration of renewable energy sources with the existing grid, introduces a power exchange scenario in the prevailing power market, considers the use of the electric vehicle market for creating cleaner and transformative energy, and optimizes the control variables with artificial intelligence techniques. Covering key topics such as artificial intelligence, smart grids, and sustainable development, this premier reference source is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.

Smart Systems for Industrial Applications

C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan

Author : C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan
Publisher : John Wiley & Sons
Page : 311 pages
File Size : 44,9 Mb
Release : 2022-01-07
Category : Computers
ISBN : 9781119762041

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Smart Systems for Industrial Applications by C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan Pdf

SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.

Advanced Model-Based Charging Control for Lithium-Ion Batteries

Quan Ouyang,Jian Chen

Author : Quan Ouyang,Jian Chen
Publisher : Springer Nature
Page : 182 pages
File Size : 43,8 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9789811970597

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Advanced Model-Based Charging Control for Lithium-Ion Batteries by Quan Ouyang,Jian Chen Pdf

In this book, the most state-of-the-art advanced model-based charging control technologies for lithium-ion batteries are explained from the fundamental theories to practical designs and applications, especially on the battery modelling, user-involved, and fast charging control algorithm design. Moreover, some other necessary design considerations, such as battery pack charging control with centralized and distributed structures, are also introduced to provide excellent solutions for improving the charging performance and extending the lifetime of the batteries/battery packs. Finally, some future directions are mentioned in brief. This book summarizes the model-based charging control technologies from the cell level to the battery pack level. From this book, readers interested in battery management can have a broad view of modern battery charging technologies. Readers who have no experience in battery management can learn the basic concept, analysis methods, and design principles of battery charging systems. Even for the readers who are occupied in this area, this book also provides rich knowledge on engineering applications and future trends of battery charging technologies.

Development of Algorithms for Battery SoC Estimation in Hybrid Vehicles

Md Navid Bin Anwar

Author : Md Navid Bin Anwar
Publisher : GRIN Verlag
Page : 82 pages
File Size : 48,6 Mb
Release : 2015-05-08
Category : Technology & Engineering
ISBN : 9783656957393

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Development of Algorithms for Battery SoC Estimation in Hybrid Vehicles by Md Navid Bin Anwar Pdf

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.

2021 International Conference on Applications and Techniques in Cyber Intelligence

Jemal Abawajy,Zheng Xu,Mohammed Atiquzzaman,Xiaolu Zhang

Author : Jemal Abawajy,Zheng Xu,Mohammed Atiquzzaman,Xiaolu Zhang
Publisher : Springer Nature
Page : 943 pages
File Size : 49,8 Mb
Release : 2021-07-17
Category : Computers
ISBN : 9783030791971

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2021 International Conference on Applications and Techniques in Cyber Intelligence by Jemal Abawajy,Zheng Xu,Mohammed Atiquzzaman,Xiaolu Zhang Pdf

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. 1. Highlights recent applications and techniques in cyber intelligence 2. Includes the proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021) 3. Presents a broad range of scientific research on cyber intelligence

INCOBAT

Eric Armengaud,Riccardo Groppo,Sven Rzepka

Author : Eric Armengaud,Riccardo Groppo,Sven Rzepka
Publisher : CRC Press
Page : 57 pages
File Size : 54,5 Mb
Release : 2022-09-01
Category : Science
ISBN : 9781000792157

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INCOBAT by Eric Armengaud,Riccardo Groppo,Sven Rzepka Pdf

Electro-mobility is considered as a key technology to achieve green mobility and fulfil tomorrow’s emission standards. However, different challenges still need to be faced to achieve comparable performances to conventional vehicles and finally obtain market acceptance. Two of these challenges are vehicle range and production costs. In that context, the aim of INCOBAT (October 2013 – December 2016) was to provide innovative and cost efficient battery management systems for next generation HV-batteries. INCOBAT proposes a platform concept that achieves cost reduction, reduced complexity, increased reliability and flexibility while at the same time reaching higher energy efficiency.• Very tight control of the cell function leading to a significant increase of the driving range of the FEV;• Radical cost reduction of the battery management system with respect to current solutions;• Development of modular concepts for system architecture and partitioning, safety, security, reliability as well as verification and validation, thus enabling efficient integration into different vehicle platforms. The INCOBAT project focused on the following twelve technical innovations grouped into four innovation groups, which are summarized in this book:• Customer needs and integration aspects• Transversal innovation• Technology innovation• Transversal innovation

Battery Management Algorithm For Electric Vehicles

Battery Management Algorithm for Electric Vehicles by Rui Xiong Pdf

Advanced Battery Management Technologies for Electric Vehicles by Rui Xiong,Weixiang Shen Pdf

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang,Caiping Zhang Pdf

Battery Management Systems of Electric and Hybrid Electric Vehicles by Nicolae Tudoroiu Pdf

Battery Management System for Future Electric Vehicles by Dirk Söffker,Bedatri Moulik Pdf

Advanced Battery Management System for Electric Vehicles by Shichun Yang,Xinhua Liu,Shen Li,Cheng Zhang Pdf

Advances in Battery Manufacturing, Service, and Management Systems by Jingshan Li,Shiyu Zhou,Yehui Han Pdf

Advances in Battery Technologies for Electric Vehicles by Bruno Scrosati,Jurgen Garche,Werner Tillmetz Pdf

Fundamentals and Applications of Lithium-ion Batteries in Electric Drive Vehicles by Jiuchun Jiang Pdf

Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles by Angalaeswari, S.,Deepa, T.,Kumar, L. Ashok Pdf

Smart Systems for Industrial Applications by C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan Pdf

Advanced Model-Based Charging Control for Lithium-Ion Batteries by Quan Ouyang,Jian Chen Pdf

Development of Algorithms for Battery SoC Estimation in Hybrid Vehicles by Md Navid Bin Anwar Pdf

2021 International Conference on Applications and Techniques in Cyber Intelligence by Jemal Abawajy,Zheng Xu,Mohammed Atiquzzaman,Xiaolu Zhang Pdf

INCOBAT by Eric Armengaud,Riccardo Groppo,Sven Rzepka Pdf

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