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| Author | : Wladislaw Waag |
| Publisher | : |
| Total Pages | : 242 |
| Release | : 2014 |
| Genre | : |
| ISBN | : 9783844029765 |
| Author | : Shi Li |
| Publisher | : |
| Total Pages | : |
| Release | : 2020 |
| Genre | : Algorithms |
| ISBN | : |
| Author | : Shunli Wang |
| Publisher | : CRC Press |
| Total Pages | : 333 |
| Release | : 2022-12-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1000799603 |
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.
| Author | : Dirk Söffker |
| Publisher | : MDPI |
| Total Pages | : 154 |
| Release | : 2020-11-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3039433504 |
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.
| Author | : Nandakumar Parthasarathy |
| Publisher | : |
| Total Pages | : 109 |
| Release | : 2009 |
| Genre | : Hybrid electric vehicles |
| ISBN | : |
Abstract: The popularity of Hybrid-electric vehicles (HEV) in today's automotive industry is because of its higher fuel-efficiency and reduced emissions of polluting gases . In a HEV, during the acceleration process, the power to run the vehicle is provided by the DC motor (powered by the battery) and during coasting (constant speed) period, the power is provided by the engine (powered by the fuel). This ensures optimum use of fuel and also the energy of the fuel is utilized to its best. However, the battery is constantly subjected to charging (during deceleration) and discharging (acceleration) process which causes depreciation in its performance with time. Since the battery forms an integral part in the operation of the vehicle it becomes essential to know the available charge left in the battery, how long will it be able to provide required energy and also about the life of the battery. This calls for an efficient model of the battery which can accurately monitor the performance of the battery and other critical battery parameters like State of Charge, State of Health, Time to Run, etc. In this thesis, the battery is modeled as an R-C circuit comprising of elements each of which represents certain battery characteristics. Based on the input (current demand) - output (voltage profile) data that can be measured from the experimental results, the apt battery model is selected using model identification. The parameters of the model are computed on-line using parameter estimation techniques with the help of input-output data while the vehicle is in operation. This monitoring algorithm provides the customer with the flexibility to use a wide range of batteries in their automobile so that the monitoring algorithm adapts itself to the battery based on the input-output data.
| Author | : Shunli Wang |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 141 |
| Release | : 2024-03-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1527570673 |
Awareness of the safety issues of lithium-ion batteries is crucial in the development of new energy technologies, and real-time and high-precision State of Energy (SOE) estimation is not only a prerequisite for battery safety, but also serves as the basis for predicting the remaining driving range of electric vehicles and aircrafts. In order to achieve real-time and accurate estimation of the energy state of lithium-ion batteries, this book improves the calculation method of the open-circuit voltage in the traditional second-order RC equivalent circuit model. It also combines a fuzzy controller and a dual-weighted multi-innovation algorithm to optimize the traditional Centralized Kalman Filter (CKF) algorithm in terms of the aspects of convergence speed, estimation accuracy, and algorithm robustness. This enables the precise estimation of SOE and the maximum available energy. The content of this book provides theoretical support for the development of new energy initiatives.
| Author | : Shunli Wang |
| Publisher | : CRC Press |
| Total Pages | : 355 |
| Release | : 2022-12-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1000799565 |
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.
| Author | : Rui Xiong |
| Publisher | : Springer Nature |
| Total Pages | : 310 |
| Release | : 2019-09-23 |
| Genre | : Technology & Engineering |
| ISBN | : 981150248X |
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.
| Author | : Shunli Wang |
| Publisher | : Elsevier |
| Total Pages | : 377 |
| Release | : 2023-07-14 |
| Genre | : Business & Economics |
| ISBN | : 0443161615 |
State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel. Introduces lithium-ion batteries, characteristics and core state parameters Examines battery equivalent modeling and provides advanced methods for battery state estimation Analyzes current technology and future opportunities
| Author | : Muhammad H. Rashid |
| Publisher | : Elsevier |
| Total Pages | : 370 |
| Release | : 2024-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0323950981 |
Handbook of Power Electronics in Autonomous and Electric Vehicles provides advanced knowledge on autonomous systems, electric propulsion in electric vehicles, radars and sensors for autonomous systems, and relevant aspects of energy storage and battery charging. The work is designed to provide clear technical presentation with a focus on commercial viability. It supports any and all aspects of a project requiring specialist design, analysis, installation, commissioning and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and commercial requirements, policies, and product and program requirements. Presents core power systems and engineering applications relevant to autonomous and electric vehicles in characteristic depth and technical presentation Offers practical support and guidance with detailed examples and applications for laboratory vehicular test plans and automotive field experimentation Includes modern technical coverage of emergent fields, including sensors and radars, battery charging and monitoring, and vehicle cybersecurity
