相关文献

[1] Yue Liu, Biru Guo, Xinxin Zou, Yajie Li, Siqi Shi. Machine learning assisted materials design and discovery for rechargeable batteries[J]. Energy Storage Materials,2020,31(prepublish). (点击下载)

[2] Dai Haifeng, Jiang Bo, Hu Xiaosong, Lin Xianke, Wei Xuezhe, Pecht Michael. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends[J]. Renewable and Sustainable Energy Reviews,2021,138. (点击下载)

[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)