A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9341296/9342036/09342315.pdf?arnumber=9342315
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Time–Frequency Domain Deep Convolutional Neural Network for Li-Ion Battery SoC Estimation;IEEE Transactions on Power Electronics;2024-01
2. A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation;Wireless Personal Communications;2023-12
3. Influence of Time-Series Length and Hyperparameters on Temporal Convolutional Neural Network Training in Low-Power Battery SOC Estimation;Applied Sciences;2023-10-01
4. Source-Free Cross-Domain State of Charge Estimation of Lithium-Ion Batteries at Different Ambient Temperatures;IEEE Transactions on Power Electronics;2023-06
5. Introduction Conceptualization of Security, Forensics, and Privacy of Internet of Things: An Artificial Intelligence Perspective;Deep Learning Techniques for IoT Security and Privacy;2021-12-06
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