Description

Book Synopsis


Table of Contents
1. Introduction to current research in estimation strategies and prediction algorithms 2. Characteristic analysis of power lithium-ion batteries 3. Aging characteristics of lithium-ion batteries 4. Lithium-ion battery hysteresis characteristics and modeling 5. Lithium-ion battery aging mechanism and multiple regression model 6. Equivalent modeling and parameter identification of power lithium-ion batteries 7. Equivalent modeling study of aviation lithium-ion batteries 8. Battery SOC measurement and control model based on Internet platforms 9. High energy density lithium-ion battery SOC prognosis 10. SOC estimation strategy based on fractional-order model 11. SOC estimation method for large unmanned aerial vehicles 12. Construction of SOC estimation method for automotive ternary batteries 13. Estimation strategies for SOC and SOP of lithium-ion batteries 14. Collaborative energy and peak power status estimation 15. SOH estimation based on improved double-extended Kalman filter 16. Collaborative SOC and SOH estimation based on improved AUKF-UPF algorithm

State Estimation Strategies in Lithiumion Battery

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    A Paperback by Carlos Fernandez, Kailong Liu, Yujie Wang

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      Publisher: Elsevier Science
      Publication Date: Publication Date: 7/20/2023 12:00:00 AM
      ISBN13: 9780443161605, 978-0443161605
      ISBN10: 0443161607

      Description

      Book Synopsis


      Table of Contents
      1. Introduction to current research in estimation strategies and prediction algorithms 2. Characteristic analysis of power lithium-ion batteries 3. Aging characteristics of lithium-ion batteries 4. Lithium-ion battery hysteresis characteristics and modeling 5. Lithium-ion battery aging mechanism and multiple regression model 6. Equivalent modeling and parameter identification of power lithium-ion batteries 7. Equivalent modeling study of aviation lithium-ion batteries 8. Battery SOC measurement and control model based on Internet platforms 9. High energy density lithium-ion battery SOC prognosis 10. SOC estimation strategy based on fractional-order model 11. SOC estimation method for large unmanned aerial vehicles 12. Construction of SOC estimation method for automotive ternary batteries 13. Estimation strategies for SOC and SOP of lithium-ion batteries 14. Collaborative energy and peak power status estimation 15. SOH estimation based on improved double-extended Kalman filter 16. Collaborative SOC and SOH estimation based on improved AUKF-UPF algorithm

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