研究论文
Multi-level feature-based cross-domain SOH prediction for lithium-ion batteries with dual-stage loss
D Cao, ZeKai Zheng, Gaofeng Zheng, Kunyu Wang, Xiaoyao Zhu, Yuanbo Huang, Zhifeng Zheng, Guoqin Huang 等 9 位
Huaqiao University Xiamen University of Technology Tan Kah Kee Innovation Laboratory Jimei University
来源Electric Power Systems Research
年份2025
内容与影响
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逐年被引趋势
320
326
关键指标
3
被引次数 · OpenAlex
0.90
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 26%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
31
参考文献
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学术脉络
学科主题
工程Advanced Battery Technologies Research
Advancements in Battery Materials · Advanced Battery Materials and Technologies
参考文献 31
Ion transport restriction in mechanically strained separator membranes
被引 151John Cannarella, Craig B. Arnold · Journal of Power Sources · 2012
Time series forecasting using artificial neural networks methodologies: A systematic review
被引 498Ahmed Tealab · Future Computing and Informatics Journal · 2018
Deep learning
被引 83,046Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton · Nature · 2015
此处列出前 3 条
施引文献 3
A dual-criterion selected physics-constrained relational temporal framework for cross-condition battery SOH estimation
被引 0Jingwen Yin, Yan Li, G Zhang · Ionics · 2026
AI-Driven Optimisation of Electric Vehicle Battery Systems: A Comprehensive Review
被引 0Abinash Singh, Dinesh Bhardwaj, Abhishek Pratap Singh Sachan · 2026
Hybrid support vector and Gaussian process regression approach for secondary-life state-of-health estimation of lithium-ion batteries
被引 0Nilesh Kumar Rajalwal, Ritesh Kumar Upadhyay, Debomita Ghosh · Electric Power Systems Research · 2026
按被引量排序，此处列出前 3 条