標(biāo)題: Titlebook: Data Science-Based Full-Lifespan Management of Lithium-Ion Battery; Manufacturing, Opera Kailong Liu,Yujie Wang,Xin Lai Book‘‘‘‘‘‘‘‘ 2022 T [打印本頁(yè)] 作者: 吸收 時(shí)間: 2025-3-21 19:06
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery影響因子(影響力)
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery影響因子(影響力)學(xué)科排名
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery網(wǎng)絡(luò)公開度
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery被引頻次
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery被引頻次學(xué)科排名
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書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery年度引用學(xué)科排名
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery讀者反饋
書目名稱Data Science-Based Full-Lifespan Management of Lithium-Ion Battery讀者反饋學(xué)科排名
作者: 未成熟 時(shí)間: 2025-3-21 20:21 作者: peak-flow 時(shí)間: 2025-3-22 03:14 作者: CHASM 時(shí)間: 2025-3-22 06:20 作者: cathartic 時(shí)間: 2025-3-22 09:39
Martin Hohenadler,Thomas C. Langfinal battery performance is crucial but still remains a difficult challenge. Recent advancements in data-driven analytic and related machine learning strategies raised interest in data science methods to perform effective and reasonable management of battery manufacturing.作者: flimsy 時(shí)間: 2025-3-22 15:37
Introduction to Battery Full-Lifespan Management,apter first introduces the background and motivation of Li-ion battery, followed by the description of Li-ion battery fundamentals and the demands of battery management. After that, the basic information and benefits of using data science technologies to achieve effective battery full-lifespan management are presented.作者: flimsy 時(shí)間: 2025-3-22 18:55 作者: 微粒 時(shí)間: 2025-3-23 00:29
1865-3529 t and real case studies.Consolidates studies in the rapidly .This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batterie作者: 符合規(guī)定 時(shí)間: 2025-3-23 05:21
Introduction to Molecular Dynamicsfirst offer the concept and give a systematic framework for the full-lifespan of Li-ion battery, which can be mainly divided into three stages including the battery manufacturing, battery operation, and battery reutilization. Then key management tasks of each stage would be introduced in detail.作者: Kinetic 時(shí)間: 2025-3-23 07:16 作者: 語(yǔ)言學(xué) 時(shí)間: 2025-3-23 12:15 作者: 聰明 時(shí)間: 2025-3-23 17:51
Data Science-Based Battery Reutilization Management,te. Therefore, the batteries retired from EVs cannot be directly used for secondary utilization. It is necessary to evaluate the residual value of these batteries by using the historical data or the test data, and then sort and regroup them for safe secondary utilization.作者: 獨(dú)行者 時(shí)間: 2025-3-23 18:37
Key Stages for Battery Full-Lifespan Management,first offer the concept and give a systematic framework for the full-lifespan of Li-ion battery, which can be mainly divided into three stages including the battery manufacturing, battery operation, and battery reutilization. Then key management tasks of each stage would be introduced in detail.作者: 拉開這車床 時(shí)間: 2025-3-24 00:59
Data Science-Based Battery Operation Management I,age, and smart grid to supply or absorb the power, where suitable management solutions are necessary to ensure its efficiency, safety, and sustainability. In this context, numerous state-of-the-art data science strategies have been developed to perform efficient management of battery operation.作者: Homocystinuria 時(shí)間: 2025-3-24 04:55 作者: Anterior 時(shí)間: 2025-3-24 06:31 作者: assail 時(shí)間: 2025-3-24 14:01 作者: Terminal 時(shí)間: 2025-3-24 16:57
https://doi.org/10.1007/978-3-031-01340-9Lithium-ion Battery; Battery Manufacturing Management; Battery Operation Management; Battery Recycling 作者: 一回合 時(shí)間: 2025-3-24 19:04
978-3-031-01342-3The Editor(s) (if applicable) and The Author(s) 2022作者: 使聲音降低 時(shí)間: 2025-3-25 00:06
Kailong Liu,Yujie Wang,Xin LaiProvides an up-to-date summary of current expertise in battery management.Includes step-by-step instructions for practical battery management and real case studies.Consolidates studies in the rapidly 作者: 灌輸 時(shí)間: 2025-3-25 03:56
Green Energy and Technologyhttp://image.papertrans.cn/d/image/263142.jpg作者: 宇宙你 時(shí)間: 2025-3-25 10:51 作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-25 12:00 作者: Electrolysis 時(shí)間: 2025-3-25 16:44 作者: 遺棄 時(shí)間: 2025-3-25 23:10 作者: 認(rèn)識(shí) 時(shí)間: 2025-3-26 04:03 作者: Lament 時(shí)間: 2025-3-26 04:17
Computational Many-Particle Physicsspan of battery. After manufacturing, battery would be operated in various applications such as transportation electrification, stationary energy storage, and smart grid to supply or absorb the power, where suitable management solutions are necessary to ensure its efficiency, safety, and sustainabil作者: Deduct 時(shí)間: 2025-3-26 10:35 作者: Hla461 時(shí)間: 2025-3-26 14:46
The Monte Carlo Method, an Introductiond crucial for the sustainable development of batteries. Battery reutilization mainly includes battery echelon utilization (secondary utilization) and material recycling. During the long-term service of the battery in EVs, the consistency of the battery cell is enlarged and its health would deteriora作者: 生氣地 時(shí)間: 2025-3-26 17:29
Alexei Filinov,Jens B?ning,Michael Bonitzge gaps still exist. This chapter summarizes these challenges, future trends, and promising solutions to boost the development of data science solutions in the management of battery manufacturing, operation, and reutilization, respectively. This could further inform the selections of data science me作者: rheumatism 時(shí)間: 2025-3-27 01:00 作者: LURE 時(shí)間: 2025-3-27 01:21 作者: CRP743 時(shí)間: 2025-3-27 06:23 作者: Glycogen 時(shí)間: 2025-3-27 12:53 作者: minion 時(shí)間: 2025-3-27 15:47
Data Science-Based Battery Operation Management I,span of battery. After manufacturing, battery would be operated in various applications such as transportation electrification, stationary energy storage, and smart grid to supply or absorb the power, where suitable management solutions are necessary to ensure its efficiency, safety, and sustainabil作者: 袋鼠 時(shí)間: 2025-3-27 19:57
Data Science-Based Battery Operation Management II,prognostics, battery fault diagnosis, and battery charging. For these three key parts, their fundamentals are first given, followed by the case studies of deriving various data science-based solutions to benefit their related operation management.作者: 啞巴 時(shí)間: 2025-3-28 00:52
Data Science-Based Battery Reutilization Management,d crucial for the sustainable development of batteries. Battery reutilization mainly includes battery echelon utilization (secondary utilization) and material recycling. During the long-term service of the battery in EVs, the consistency of the battery cell is enlarged and its health would deteriora作者: Bereavement 時(shí)間: 2025-3-28 02:57
The Ways Ahead,ge gaps still exist. This chapter summarizes these challenges, future trends, and promising solutions to boost the development of data science solutions in the management of battery manufacturing, operation, and reutilization, respectively. This could further inform the selections of data science me作者: 追逐 時(shí)間: 2025-3-28 08:31
978-3-030-70073-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Initial 時(shí)間: 2025-3-28 13:43 作者: strdulate 時(shí)間: 2025-3-28 14:59
