ADVANCES IN LITHIUM-ION BATTERIES FOR ELECTRIC VEHICLES : degradation mechanism, health... estimation, and lifetime prediction.
This book explores the advancements in lithium-ion batteries specifically for electric vehicles, with a focus on understanding degradation mechanisms, health estimation, and lifetime prediction. It delves into the challenges of battery aging, which affects capacity and safety, and its impact on the...
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| フォーマット: | eBook |
| 言語: | 英語 |
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[S.l.] :
ELSEVIER - HEALTH SCIENCE,
2024.
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| オンライン･アクセス: | ScienceDirect |
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| 008 | 240219s2024 xx o 000 0 eng d | ||
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| 020 | |a 9780443155444 |q (electronic bk.) | ||
| 020 | |a 0443155445 |q (electronic bk.) | ||
| 020 | |z 0443155437 | ||
| 020 | |z 9780443155437 | ||
| 035 | |a (OCoLC)1422302434 | ||
| 050 | 4 | |a TK2945.L58 | |
| 082 | 0 | 4 | |a 621.31/242 |2 23/eng/20240226 |1 https://id.oclc.org/worldcat/ddc/E3g7xFDFMXPtYbXGCHw8pGHk7W |
| 100 | 1 | |a DAI, HAIFENG. | |
| 245 | 1 | 0 | |a ADVANCES IN LITHIUM-ION BATTERIES FOR ELECTRIC VEHICLES : |b degradation mechanism, health... estimation, and lifetime prediction. |
| 260 | |a [S.l.] : |b ELSEVIER - HEALTH SCIENCE, |c 2024. | ||
| 300 | |a 1 online resource | ||
| 505 | 0 | |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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a This book explores the advancements in lithium-ion batteries specifically for electric vehicles, with a focus on understanding degradation mechanisms, health estimation, and lifetime prediction. It delves into the challenges of battery aging, which affects capacity and safety, and its impact on the performance and life cycle of electric vehicles. The text provides insights into the requirements for battery performance in electric vehicles, different types of degradation, and methods for estimating the state of health and remaining useful life of batteries. The book also covers various prediction methods and management strategies to extend battery life, targeting professionals and researchers in the field of automotive studies and energy storage systems. |7 Generated by AI | ||
| 650 | 0 | |a Lithium ion batteries |x Technological innovations. | |
| 650 | 0 | |a Electric automobiles |x Batteries. | |
| 650 | 6 | |a Batteries au lithium-ion |0 (CaQQLa)000276316 |x Innovations. |0 (CaQQLa)201-0379286 | |
| 650 | 6 | |a Automobiles électriques |0 (CaQQLa)201-0003083 |x Batteries. |0 (CaQQLa)201-0377540 | |
| 650 | 7 | |a Electric automobiles |x Batteries |2 fast |0 (OCoLC)fst01725117 | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a ZHU, JIANGONG. | |
| 776 | 0 | 8 | |i Print version: |z 0443155437 |z 9780443155437 |w (OCoLC)1391433181 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443155437 |