Advances in Lithium-Ion batteries for electric vehicles: degradation mechanism, health estimation, and lifetime prediction
Intro -- Title page -- Table of Contents -- Copyright -- Chapter 1 Overview of Li-ion battery degradation -- Abstract -- 1.1 Requirements for battery in electric vehicles -- 1.2 Different types of degradation -- 1.3 Performance of battery degradation -- 1.4 State of health (SoH) -- 1.5 Remaining use...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
2024
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| Schlagworte: | |
| Online-Zugang: | DE-706 Volltext |
| Zusammenfassung: | Intro -- Title page -- Table of Contents -- Copyright -- Chapter 1 Overview of Li-ion battery degradation -- Abstract -- 1.1 Requirements for battery in electric vehicles -- 1.2 Different types of degradation -- 1.3 Performance of battery degradation -- 1.4 State of health (SoH) -- 1.5 Remaining useful life (RUL) -- 1.6 Conclusions -- References -- Chapter 2 Battery life test -- Abstract -- 2.1 Testing standards -- 2.2 Test platform -- 2.3 Case study -- 2.4 Conclusions -- References -- Chapter 3 Battery degradation mechanism and analysis method -- Abstract -- 3.1 Principles of lithium-ion battery -- 3.2 Degradation mechanisms -- 3.3 Influence of working conditions of EVs -- 3.4 Analysis method -- 3.5 Conclusions -- References -- Chapter 4 Battery state of health estimation -- Abstract -- 4.1 Battery state of health estimation based on voltage feature -- 4.2 State of health estimation based on model and algorithm -- 4.3 AC impedance based estimation method -- 4.4 Conclusion -- References -- Chapter 5 Battery lifetime prediction methods -- Abstract -- 5.1 Model-based approach -- 5.2 Semiempirical model -- 5.3 Equivalent circuit method -- 5.4 Filter method -- 5.5 Particle filter -- 5.6 Data-driven methods -- 5.7 Artificial neutral networks -- 5.8 Support vector machine and relevance vector machine -- 5.9 Gray theory -- References -- Chapter 6 Lifetime management of battery degradation -- Abstract -- 6.1 Battery multilayer management strategy -- 6.2 Extending battery life by adjusting the voltage window -- 6.3 Low-temperature charging strategy optimization based on electrochemical-aging-thermal coupling model -- 6.4 Active life equalization strategy of series battery module based on a life degradation model -- 6.5 Conclusion -- References -- Index. |
| Beschreibung: | 1 Online-Ressource (316 Seiten) Illustrationen |
| ISBN: | 9780443155437 |
| DOI: | 10.1016/C2022-0-01751-7 |
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| 520 | 3 | |a Intro -- Title page -- Table of Contents -- Copyright -- Chapter 1 Overview of Li-ion battery degradation -- Abstract -- 1.1 Requirements for battery in electric vehicles -- 1.2 Different types of degradation -- 1.3 Performance of battery degradation -- 1.4 State of health (SoH) -- 1.5 Remaining useful life (RUL) -- 1.6 Conclusions -- References -- Chapter 2 Battery life test -- Abstract -- 2.1 Testing standards -- 2.2 Test platform -- 2.3 Case study -- 2.4 Conclusions -- References -- Chapter 3 Battery degradation mechanism and analysis method -- Abstract -- 3.1 Principles of lithium-ion battery -- 3.2 Degradation mechanisms -- 3.3 Influence of working conditions of EVs -- 3.4 Analysis method -- 3.5 Conclusions -- References -- Chapter 4 Battery state of health estimation -- Abstract -- 4.1 Battery state of health estimation based on voltage feature -- 4.2 State of health estimation based on model and algorithm -- 4.3 AC impedance based estimation method -- 4.4 Conclusion -- References -- Chapter 5 Battery lifetime prediction methods -- Abstract -- 5.1 Model-based approach -- 5.2 Semiempirical model -- 5.3 Equivalent circuit method -- 5.4 Filter method -- 5.5 Particle filter -- 5.6 Data-driven methods -- 5.7 Artificial neutral networks -- 5.8 Support vector machine and relevance vector machine -- 5.9 Gray theory -- References -- Chapter 6 Lifetime management of battery degradation -- Abstract -- 6.1 Battery multilayer management strategy -- 6.2 Extending battery life by adjusting the voltage window -- 6.3 Low-temperature charging strategy optimization based on electrochemical-aging-thermal coupling model -- 6.4 Active life equalization strategy of series battery module based on a life degradation model -- 6.5 Conclusion -- References -- Index. | |
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Datensatz im Suchindex
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| author | Dai, Haifeng Zhu, Jiangong |
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| dewey-full | 629.25024 |
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| doi_str_mv | 10.1016/C2022-0-01751-7 |
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| spelling | Dai, Haifeng Verfasser aut Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction Haifeng Dai, Jiangong Zhu Amsterdam Elsevier 2024 1 Online-Ressource (316 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Intro -- Title page -- Table of Contents -- Copyright -- Chapter 1 Overview of Li-ion battery degradation -- Abstract -- 1.1 Requirements for battery in electric vehicles -- 1.2 Different types of degradation -- 1.3 Performance of battery degradation -- 1.4 State of health (SoH) -- 1.5 Remaining useful life (RUL) -- 1.6 Conclusions -- References -- Chapter 2 Battery life test -- Abstract -- 2.1 Testing standards -- 2.2 Test platform -- 2.3 Case study -- 2.4 Conclusions -- References -- Chapter 3 Battery degradation mechanism and analysis method -- Abstract -- 3.1 Principles of lithium-ion battery -- 3.2 Degradation mechanisms -- 3.3 Influence of working conditions of EVs -- 3.4 Analysis method -- 3.5 Conclusions -- References -- Chapter 4 Battery state of health estimation -- Abstract -- 4.1 Battery state of health estimation based on voltage feature -- 4.2 State of health estimation based on model and algorithm -- 4.3 AC impedance based estimation method -- 4.4 Conclusion -- References -- Chapter 5 Battery lifetime prediction methods -- Abstract -- 5.1 Model-based approach -- 5.2 Semiempirical model -- 5.3 Equivalent circuit method -- 5.4 Filter method -- 5.5 Particle filter -- 5.6 Data-driven methods -- 5.7 Artificial neutral networks -- 5.8 Support vector machine and relevance vector machine -- 5.9 Gray theory -- References -- Chapter 6 Lifetime management of battery degradation -- Abstract -- 6.1 Battery multilayer management strategy -- 6.2 Extending battery life by adjusting the voltage window -- 6.3 Low-temperature charging strategy optimization based on electrochemical-aging-thermal coupling model -- 6.4 Active life equalization strategy of series battery module based on a life degradation model -- 6.5 Conclusion -- References -- Index. Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd rswk-swf Elektrofahrzeug (DE-588)4151795-7 gnd rswk-swf Nachhaltigkeit (DE-588)4326464-5 gnd rswk-swf Lithium-Ionen-Akkumulator (DE-588)7681721-0 s Elektrofahrzeug (DE-588)4151795-7 s Nachhaltigkeit (DE-588)4326464-5 s DE-604 Zhu, Jiangong Verfasser aut Erscheint auch als Online-Ausgabe 978-0-443-15544-4 Erscheint auch als Druck-Ausgabe 978-0-443-15543-7 https://doi.org/10.1016/C2022-0-01751-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dai, Haifeng Zhu, Jiangong Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Nachhaltigkeit (DE-588)4326464-5 gnd |
| subject_GND | (DE-588)7681721-0 (DE-588)4151795-7 (DE-588)4326464-5 |
| title | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction |
| title_auth | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction |
| title_exact_search | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction |
| title_full | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction Haifeng Dai, Jiangong Zhu |
| title_fullStr | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction Haifeng Dai, Jiangong Zhu |
| title_full_unstemmed | Advances in Lithium-Ion batteries for electric vehicles degradation mechanism, health estimation, and lifetime prediction Haifeng Dai, Jiangong Zhu |
| title_short | Advances in Lithium-Ion batteries for electric vehicles |
| title_sort | advances in lithium ion batteries for electric vehicles degradation mechanism health estimation and lifetime prediction |
| title_sub | degradation mechanism, health estimation, and lifetime prediction |
| topic | Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Nachhaltigkeit (DE-588)4326464-5 gnd |
| topic_facet | Lithium-Ionen-Akkumulator Elektrofahrzeug Nachhaltigkeit |
| url | https://doi.org/10.1016/C2022-0-01751-7 |
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