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《能源》/Energies 特刊 诚邀您投稿

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发表于 2022-12-14 09:13:32 | 显示全部楼层 |阅读模式
诚邀您投稿到《能源》/Energies特刊‘锂离子电池储能系统建模、诊断与保护’。

[/Energies/ (ISSN 1996-1073, Indexed in SCI, EI and Scopus)]"Modeling, Diagnosis and Protection for Li-Ion Battery Energy StorageSystem" – Paper Invitation

01特刊简介

*Modeling, Diagnosis andProtection for Li-Ion Battery Energy Storage System,专注于锂离子电池储能系统领域最新的发展动态,先进的建模、诊断和保护方法等。特刊由北京交通大学教授Bingxiang Sun博士、中科院电工所副研究员Liye Wang博士、帝国理工助理研究员Haijun Ruan博士、暨南大学副教授Linfeng Zheng博士和清华大学大学博后研究员Dongsheng Ren博士担任客座编辑。
特刊网站:
https://www.mdpi.com/journal/energies/special_issues/MDPLBESS
投稿截止:2022. 12. 20


  • Special lssue Information

Lithium-ion batteries are often connected in series and parallel to formulate a lithium-ion battery system (pack) for meeting the high-voltage and high-capacity requirements of energy storage systems. It is particularly important to accurately model the behaviors, estimate the states, diagnose the degradation and faults of the battery energy storage system, and further take necessary measures to prevent any potential safety hazards. However, with an appreciable number of batteries available worldwide, it is challenging to capture the performance, monitor the states, and identify the faults of each battery. Emerging techniques, such as big data mining, artificial intelligence, digital twin, and block chain, bring the potential of addressing these issues through developing new models, state estimation methods, and diagnostic approaches; thus, enabling a promising candidate able to achieve an early fault and safety warning. Furthermore, in order to allow for the application of battery energy storage systems to be safer and more reliable, increasing research has been aimed at optimizing the design and control technologies of battery systems. This Special Issue expects to explore research innovation within the battery system engineering challenge that incorporates modeling, state estimation, diagnostics, prognostics, control engineering, system design, and safety engineering; thus, promoting the mass commercialization and popularity of the Li-ion battery energy storage system. Manuscripts from cross-disciplinary fields, theoretical and practical studies and novel methods are strongly encouraged and welcome.

Topicsof interest for publication include, but are not limited to:

  • Accurate modeling and fast simulation of Li-ion battery systems;
  • Application of digital twin for lithium-ion battery systems;
  • The estimation of battery states, such as SOC, SOH, SOF, SOP, and temperature;
  • Fast charging and charging optimization methods;
  • Wireless charging technology;
  • Battery thermal management;
  • Design and application of battery virtualization equipment;
  • Reliability optimization techniques for lithium-ion battery systems;
  • State parameter prognosis and fault diagnosis of lithium-ion battery systems;
  • Thermal runaway and thermal failure mechanism;
  • Safety protection technology of lithium-ion battery pack;
  • Battery management system (BMS) optimization design technology.


  • Special lssue Editors

Prof. Dr. Bingxiang Sun
Guest Editor

National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing, China
Interests:battery energy storage system; battery management system; time-frequency domain modeling; electrochemical model; virtual battery; low-temperature heating

Dr. Liye Wang
Guest Editor

Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China
Interests:battery energy storage system; battery management system; battery modeling; wireless charging technology

Dr. Haijun Ruan
Guest Editor

Dyson School of Design Engineering, Imperial College London, London, UK
Interests:lithium-ion batteries; battery energy storage system; battery management system; machine learning; optimization and control
Special Issues, Collections and Topics in MDPI journals

Dr. Linfeng Zheng
Guest Editor

School of Electrical Engineering, Jinan University, Guangzhou, China
Interests:battery energy storage system; battery management system; embedded system; modeling and simulation; optimization and control

Dr. Dongsheng Ren
Guest Editor

Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Interests:battery energy storage system; thermal failure mechanism and multiscale modeling of lithium-ion battery/solid-state batteries

02期刊简介



《能源》/Energies/ (ISSN 1996-1073) 是一本同行评审的开源期刊,内容涉及能源相关的科学研究、技术开发、工程以及政策和管理研究,由 MDPI 在线半月刊出版,是 Scopus, SCI和 Ei 检索期刊,2020年影响因子3.004,5年影响因子3.085 (2020)
Energiesis apeer-reviewed, open access journal of related scientific research, technology development, engineering, and the studies in policy and management and is published semimonthly online by MDPI.The European Biomass Industry Association (EUBIA),Polish Society of Applied Electromagnetics (PTZE),Association of European Renewable Energy Research Centres (EUREC),Institute for Chemical Processing of Coal (IChPW),International Society for Porous Media (InterPore)andCYTEDare affiliated withEnergiesand their members receive a discount on the article processing charges.

  • Open Access— free for readers, witharticle processing charges (APC)paid by authors or their institutions.
  • High Visibility:indexed withinScopus,SCIE (Web of Science),Ei Compendex,RePEc,Inspec,CAPlus / SciFinder, andmany other databases.
  • Journal Rank:CiteScore- Q1 (Control and Optimization)
  • Rapid publication:manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.8 days after submission; acceptance to publication is undertaken in 4.4 days (median values for papers published in this journal in the second half of 2021).
该杂志收到众多学者好评,如审稿速度快且能保证文章质量、审稿意见中肯科学、编辑热情等。



03电池领域论文精选


非常多的电池领域学者在Energies期刊发表最新作品,锂离子电池领域有多篇论文高被引,如:

  • He H, Xiong R, Fan J. Evaluation of lithium-ion battery equivalent circuit models for stateof charge estimation by an experimental approach[J]. energies, 2011,4(4): 582-598.
  • Ali M U, Zafar A, Nengroo S H, et al. Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-ion battery state of charge estimation[J]. Energies, 2019, 12(3): 446.
  • Miao Y, Hynan P, Von Jouanne A, et al. CurrentLi-ion battery technologies in electric vehicles and opportunities foradvancements[J]. Energies, 2019, 12(6): 1074.








欢迎广大学者参与投稿

参考网站: https://www.mdpi.com/journal/energies/special_issues/MDPLBESS
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