第二卷02讲:电池闭环设计GUI界面开发实例【AESA孙越】
发表时间:2021-04-13     阅读次数:


分享人:孙越

现为北京理工大学AESA课题组20级硕士研究生,主要研究方向为锂离子电池设计和管理及其在电动汽车和储能系统中的应用。(个人网页)


讲座摘要

主要介绍了电池设计与电池管理系统设计的研究现状,闭环设计软件的开发意义和整体框架,当前实现的功能与未来完善的思路,应用的工作案例,以及应用GUI界面的设计开发细节。




相关文献

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[3] Elham Hosseinzadeh,James Marco,Paul Jennings,Izumi Taniguchi. Electrochemical-Thermal Modelling and Optimisation of Lithium-Ion Battery Design Parameters Using Analysis of Variance[J]. Energies,2017,10(9). (点击下载)

[4] Billy Wu, W. Dhammika Widanage, Shichun Yang, Xinhua Liu. Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems[J]. Energy and AI,2020,1. (点击下载)

[5] Man-Fai Ng, Jin Zhao, Qingyu Yan, Gareth J. Conduit, Zhi Wei Seh. Predicting the state of charge and health of batteries using data-driven machine learning[J]. Nature Machine Intelligence,2020,2(3). (点击下载)

[6] Yi Li, Kailong Liu, Aoife M. Foley, Alana Zülke, Maitane Berecibar, Elise Nanini-Maury, Joeri Van Mierlo, Harry E. Hoster. Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review[J]. Renewable and Sustainable Energy Reviews,2019,113. (点击下载)

[7] Bogdan Cristian Florea, Dragos Daniel Taralunga. Blockchain IoT for Smart Electric Vehicles Battery Management[J]. Sustainability,2020,12(10). (点击下载)

[8] Taesic Kim, Darshan Makwana, Amit Adhikaree, Jitendra Shamjibhai Vagdoda, Young Lee. Cloud-Based Battery Condition Monitoring and Fault Diagnosis Platform for Large-Scale Lithium-Ion Battery Energy Storage Systems[J]. Energies,2018,11(1). (点击下载)



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