Battery state estimation: methods and models
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London, United Kingdom
The Institution of Engineering and Technology
2021
|
| Schriftenreihe: | IET energy engineering series
212 |
| Schlagworte: | |
| Beschreibung: | Chapter 1: Introduction; Chapter 2: Mechanism and influencing factors of lithium-ion batteries; Chapter 3: Equivalent modeling, improvement, and state-space description; Chapter 4: Extended Kalman filtering and its extension; Chapter 5: Adaptive extended Kalman filtering for multiple battery state estimation; Chapter 6: Dual extended Kalman filtering prediction for complex working conditions; Chapter 7: Unscented particle filtering of safety estimation considering capacity fading effect |
| Beschreibung: | xxii, 274 Seiten Illustrationen, Diagramme 234 mm |
| ISBN: | 9781839535291 |
Internformat
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| 245 | 1 | 0 | |a Battery state estimation |b methods and models |c edited by Shunli Wang |
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| 650 | 4 | |a bicssc / Automotive technology & trades | |
| 650 | 4 | |a Electric batteries | |
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Datensatz im Suchindex
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| index_date | 2024-07-03T18:25:57Z |
| indexdate | 2024-07-10T09:14:35Z |
| institution | BVB |
| isbn | 9781839535291 |
| language | English |
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| physical | xxii, 274 Seiten Illustrationen, Diagramme 234 mm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series | IET energy engineering series |
| series2 | IET energy engineering series |
| spelling | Battery state estimation methods and models edited by Shunli Wang London, United Kingdom The Institution of Engineering and Technology 2021 xxii, 274 Seiten Illustrationen, Diagramme 234 mm txt rdacontent n rdamedia nc rdacarrier IET energy engineering series 212 Chapter 1: Introduction; Chapter 2: Mechanism and influencing factors of lithium-ion batteries; Chapter 3: Equivalent modeling, improvement, and state-space description; Chapter 4: Extended Kalman filtering and its extension; Chapter 5: Adaptive extended Kalman filtering for multiple battery state estimation; Chapter 6: Dual extended Kalman filtering prediction for complex working conditions; Chapter 7: Unscented particle filtering of safety estimation considering capacity fading effect bicssc / Automotive technology & trades Electric batteries (DE-588)4143413-4 Aufsatzsammlung gnd-content Wang, Shunli edt Erscheint auch als Online-Ausgabe, PDF 978-1-83953-530-7 IET energy engineering series 212 (DE-604)BV047218775 212 |
| spellingShingle | Battery state estimation methods and models IET energy engineering series bicssc / Automotive technology & trades Electric batteries |
| subject_GND | (DE-588)4143413-4 |
| title | Battery state estimation methods and models |
| title_auth | Battery state estimation methods and models |
| title_exact_search | Battery state estimation methods and models |
| title_exact_search_txtP | Battery state estimation methods and models |
| title_full | Battery state estimation methods and models edited by Shunli Wang |
| title_fullStr | Battery state estimation methods and models edited by Shunli Wang |
| title_full_unstemmed | Battery state estimation methods and models edited by Shunli Wang |
| title_short | Battery state estimation |
| title_sort | battery state estimation methods and models |
| title_sub | methods and models |
| topic | bicssc / Automotive technology & trades Electric batteries |
| topic_facet | bicssc / Automotive technology & trades Electric batteries Aufsatzsammlung |
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