Robust Battery Management Systems: Theory, Algorithms, and Software
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| Title: | Robust Battery Management Systems: Theory, Algorithms, and Software |
|---|---|
| Description: | 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. |
| Authors: | Balasingam, Balakumar |
| Resource Type: | eBook. |
| Subjects: | Robust control, Battery management systems--Design |
| Categories: | TECHNOLOGY & ENGINEERING / Power Resources / Electrical |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Robust Battery Management Systems: Theory, Algorithms, and Software – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Balasingam%2C+Balakumar%22">Balasingam, Balakumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Battery+management+systems--Design%22">Battery management systems--Design</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Power+Resources+%2F+Electrical%22">TECHNOLOGY & ENGINEERING / Power Resources / Electrical</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 621.042 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Robust control Type: general – SubjectFull: Battery management systems--Design Type: general Titles: – TitleFull: Robust Battery Management Systems: Theory, Algorithms, and Software Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Balasingam, Balakumar – PersonEntity: Name: NameFull: Balasingam, Balakumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 27 M: 09 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9781630819521 – Type: isbn-electronic Value: 9781630819538 Titles: – TitleFull: Robust Battery Management Systems: Theory, Algorithms, and Software Type: main |
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