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Lebesgue Sampling-based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction

  • Published:2021 Issue: Volume: Page:1-1
  • ISSN:0278-0046
  • Container-title:IEEE Transactions on Industrial Electronics
  • language:
  • Short-container-title:IEEE Trans. Ind. Electron.

Author:

Liu Enhui,Wang Xuan,Niu Guangxing,Lyu Dongzhen,Yang Tao,Zhang Bin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 9 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. Battery cumulative lifetime prognostics to bridge laboratory and real-life scenarios;Cell Reports Physical Science;2024-08

2. State-of-Charge Estimation of Lithium-ion Batteries by Lebesgue Sampling-Based EKF Method Using Improved Parameter Identification;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. Hybrid battery model parameter estimation and optimization using a two-step procedure and parameter sensitivity analysis;2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON);2023-12-08

4. Predicting Remaining Discharge Time for Lithium-ion Batteries based on Differential Model Decomposition;2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON);2023-12-08

5. SOC Estimation Algorithm of EKF Marine Lithium-Ion Battery Based on SVM Noise Adjustment;2023 IEEE 11th International Conference on Computer Science and Network Technology (ICCSNT);2023-10-21
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