Robust Battery Management System Design With MATLAB - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Battery Management System Design With MATLAB write by Balakumar Balasingam. This book was released on 2023-06-30. Robust Battery Management System Design With MATLAB available in PDF, EPUB and Kindle. This book introduces several battery management problems and provides solutions using model-based approaches. It provides detailed coverage of battery management problems, including battery impedance estimation, battery capacity estimation, state of charge estimation, state of health estimation, battery thermal management, and optimal charging algorithms. The book introduces important battery management problems in a modularized fashion, decoupling each battery management problem from others as much as possible, allowing you to focus on understanding a particular topic rather than having to understand all aspects of a battery management system. You will get the necessary background to understand, implement and improve battery fuel gauges in electric vehicles, and general state of health of the battery; use proven models and algorithms to estimate the thermal properties of a battery; and know the basics of smart battery charger design. You will also be equipped to accurately estimate battery features of vehicles, such as state of charge, expected charging time, and state of health, to make customized charging waveforms for each vehicle. The book teaches you how to create simulation environments to test and validate algorithms against model uncertainty and measurement noise. In addition, the importance of benchmarking battery management algorithms is covered, and several bench marking metrics are presented. Included MATLAB codes give you an easy way to test the algorithms using realistic data and to develop and test alternative solutions. This is a useful and timely guide for battery engineers at all levels, as well as research scientists and advanced students working in this robust and rapidly advancing area.
Robust Battery Management Systems: Theory, Algorithms, and Software
Robust Battery Management Systems: Theory, Algorithms, and Software - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Battery Management Systems: Theory, Algorithms, and Software write by Balakumar Balasingam. This book was released on 2023-06-30. Robust Battery Management Systems: Theory, Algorithms, and Software available in PDF, EPUB and Kindle. This book provides model-based solutions to various battery management problems, including battery impedance estimation, battery capacity estimation, state of charge estimation, state of health estimation, battery thermal management, and optimal charging algorithms. The book introduces important battery management problems in a modularized fashion, decoupling each battery management problem from others as much as possible, allowing you to focus on understanding a particular topic rather than having to understand all aspects of a battery management system. You will get the necessary background to understand, implement and improve battery fuel gauges in electric vehicles, and general state of health of the battery; use proven models and algorithms to estimate the thermal properties of a battery; and know the basics of smart battery charger design. You will also be equipped to accurately estimate battery features of vehicles, such as state of charge, expected charging time, and state of health, to make customized charging waveforms for each vehicle. The book teaches you how to create simulation environments to test and validate algorithms against model uncertainty and measurement noise. In addition, the importance of benchmarking battery management algorithms is covered, and several bench marking metrics are presented. Included MATLAB codes give you an easy way to test the algorithms using realistic data and to develop and test alternative solutions. This is a useful and timely guide for battery engineers at all levels, as well as research scientists and advanced students working in this robust and rapidly advancing area.
Battery Management Algorithm for Electric Vehicles
Battery Management Algorithm for Electric Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Battery Management Algorithm for Electric Vehicles write by Rui Xiong. This book was released on 2019-09-23. Battery Management Algorithm for Electric Vehicles available in PDF, EPUB and Kindle. 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.
Highly Robust Battery-management System Design for Series Connected Lithium-ion Battery Packs
Highly Robust Battery-management System Design for Series Connected Lithium-ion Battery Packs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Highly Robust Battery-management System Design for Series Connected Lithium-ion Battery Packs write by Yunlong Zhang. This book was released on 2019. Highly Robust Battery-management System Design for Series Connected Lithium-ion Battery Packs available in PDF, EPUB and Kindle.
Battery Management Systems
Battery Management Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Battery Management Systems write by H.J. Bergveld. This book was released on 2013-03-09. Battery Management Systems available in PDF, EPUB and Kindle. Battery Management Systems - Design by Modelling describes the design of Battery Management Systems (BMS) with the aid of simulation methods. The basic tasks of BMS are to ensure optimum use of the energy stored in the battery (pack) that powers a portable device and to prevent damage inflicted on the battery (pack). This becomes increasingly important due to the larger power consumption associated with added features to portable devices on the one hand and the demand for longer run times on the other hand. In addition to explaining the general principles of BMS tasks such as charging algorithms and State-of-Charge (SoC) indication methods, the book also covers real-life examples of BMS functionality of practical portable devices such as shavers and cellular phones. Simulations offer the advantage over measurements that less time is needed to gain knowledge of a battery's behaviour in interaction with other parts in a portable device under a wide variety of conditions. This knowledge can be used to improve the design of a BMS, even before a prototype of the portable device has been built. The battery is the central part of a BMS and good simulation models that can be used to improve the BMS design were previously unavailable. Therefore, a large part of the book is devoted to the construction of simulation models for rechargeable batteries. With the aid of several illustrations it is shown that design improvements can indeed be realized with the presented battery models. Examples include an improved charging algorithm that was elaborated in simulations and verified in practice and a new SoC indication system that was developed showing promising results. The contents of Battery Management Systems - Design by Modelling is based on years of research performed at the Philips Research Laboratories. The combination of basic and detailed descriptions of battery behaviour both in chemical and electrical terms makes this book truly multidisciplinary. It can therefore be read both by people with an (electro)chemical and an electrical engineering background.
