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State of health estimation for lithium-ion battery based on Bi-directional long short-term memory neural network and attention mechanism

  • Published:2022-11 Issue: Volume:8 Page:208-215
  • ISSN:2352-4847
  • Container-title:Energy Reports
  • language:en
  • Short-container-title:Energy Reports

Author:

Guo Yu,Yang Dongfang,Zhao Kun,Wang KaiORCID

Funder

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

General Energy

Reference22 articles.

1. Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach;Zhang;Complexity,2022

2. Online estimation of SOH for lithium-ion battery based on SSA-Elman neural network;Guo;Prot. Control Mod. Power Syst.,2022

3. A method for estimating the aging state of lithium-ion batteries based on a multi-linear integrated model;Sun;Int J Energy Res,2022

4. A state-of-health estimation method considering capacity recovery of lithium batteries;Guo;Int J Energy Res,2022

5. Electrochemical impedance spectroscopy based on the state of health estimation for lithium-ion batteries;Li;Energies,2022
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