State estimation strategies in lithium-ion battery management systems /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wang, Shunli (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2023]
Temas:
Lithium ion batteries.
Lithium ion batteries > Mathematical models.
Batteries au lithium-ion.
Batteries au lithium-ion > Mod�eles math�ematiques.
Lithium ion batteries
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • State Estimation Strategies in Lithium-ion Battery Management Systems
  • Copyright Page
  • Contents
  • Preface
  • 1 Introduction
  • 1.1 Research background
  • 1.2 Research significance
  • 1.3 Research status
  • 1.3.1 Research status of energy state estimation
  • 1.3.2 Research status of peak power estimation
  • 1.3.3 Research status of state of charge estimation strategies
  • 1.3.3.1 Open-circuit voltage method
  • 1.3.3.2 The ampere integration method
  • 1.3.3.3 The data-driven method
  • 1.3.3.4 Model-based estimation methods
  • 1.3.4 Research status of state of health prediction algorithms
  • 1.3.4.1 Capacity test method
  • 1.3.4.2 Ohmic internal resistance test method
  • 1.3.4.3 Health indicator assessment method
  • 1.3.4.4 Adaptive algorithm
  • 1.3.4.5 Data-driven algorithm
  • References
  • 2 Characteristic analysis of power lithium-ion batteries
  • 2.1 Research background
  • 2.1.1 Working principles analysis of lithium-ion batteries
  • 2.1.2 Characteristic test of power lithium-ion batteries
  • 2.1.3 Energy test experiment
  • 2.1.4 Hybrid pulse power characterization test
  • 2.1.5 Battery capacity calibration experiments
  • 2.1.6 Charge-discharge experiments at different current rates
  • 2.1.7 Battery aging test experiment
  • 2.2 Working characteristic analysis of lithium-ion batteries
  • 2.2.1 Energy characteristic analysis
  • 2.2.2 Internal resistance characteristic analysis
  • 2.2.3 Open-circuit voltage characteristic analysis
  • 2.2.4 Battery temperature characteristic analysis
  • 2.3 Chapter summary
  • References
  • 3 Aging characteristics of lithium-ion batteries
  • 3.1 Basic characteristics of lithium-ion batteries
  • 3.1.1 Performance index of mainstream lithium-ion batteries
  • 3.1.2 Working principle of lithium-ion batteries
  • 3.2 Analysis of state of charge affecting factors
  • 3.2.1 Analysis of battery temperature characteristics
  • 3.2.2 Experimental analysis of the charge-discharge ratio
  • 3.2.3 Research status of energy state estimation
  • 3.3 Battery aging characteristic analysis
  • 3.3.1 Analysis of SOH affecting factors
  • 3.3.2 State of charge-OCV law in the aging process
  • 3.3.3 Analysis of battery aging internal resistance
  • 3.4 Chapter summary
  • References
  • 4 Lithium-ion battery hysteresis characteristics and modeling
  • 4.1 Hysteresis characteristics of lithium-ion battery
  • 4.1.1 Battery hysteresis
  • 4.1.2 Secondary loop hysteresis characteristics
  • 4.1.3 Hysteresis temperature dependence
  • 4.1.4 Hysteretic path dependence
  • 4.2 Lithium-ion battery open-circuit voltage-state of charge model
  • 4.2.1 Equivalent circuit model with hysteresis
  • 4.2.2 Model parameter identification
  • 4.2.3 PI hysteresis model
  • 4.3 Chapter summary
  • References
  • 5 Lithium-ion battery aging mechanism and multiple regression model
  • 5.1 Research background

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