Battery System Modeling

Front Matter
Copyright
Contents
Chapter-1---Lithium-ion-battery-characteristics-and-_2021_Battery-System-Mod
	Lithium-ion battery characteristics and applications
		Introduction to lithium-ion battery technology
			Development history
			Energy storage technologies
		Battery working mechanism
			Characteristic analysis
			Components and working principle
			Lithium-ion battery construction
			Charge-discharge strategies
		Lithium-ion battery chemistries
			Lithium-ion battery family
			Battery with different materials
			Solid-state lithium-ion battery
			Comparative battery types analysis
		Lithium-ion battery characteristics
			Internal parameter relationship
			Capacity characteristics
			Open-circuit voltage
			Internal resistance characteristic
			Power capability variation
			Coulombic efficiency
		Battery aging behavior
			Aging mechanisms
			Calendar aging process
			Temperature effect on aging process
		Lithium-ion battery applications
			Applications
			System state estimation
			Battery safety protection
			Battery life guarantee
			Status and trends
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-2---Electrical-equivalent-circuit-modeli_2021_Battery-System-Modelin
	Electrical equivalent circuit modeling
		Modeling method overview
			Modeling types and concepts
			Comparative equivalent models
			Commercial circuit models
			Electrochemical model
			Equivalent circuit model
			Principle description
				Modeling steps
				Model selection
			Parameter identification
		Improved internal resistance modeling
			Theoretical resistance modeling
			Battery model establishment
			Internal resistance description
			Open-circuit voltage characteristics
		Thevenin modeling
			Construction of Thevenin model
			Charge-discharge characteristics
			State equation establishment
			Mathematical description
		High-order modeling
			Second-order circuit modeling
			Internal resistance description
			Splice equivalent modeling
		Parameter identification algorithms
			Identification overview
			Least-square functional fitting
			Forgetting factor correction
		Experimental analysis
			Exponential curve fitting
			Polynomial relationship description
			Identified parameter variation
			Pulse voltage tracking effect
			Modeling accuracy verification
		Conclusion
		Acknowledgments
		References
		Conflict of interest
Chapter-3---Electrochemical-Nernst-modeling_2021_Battery-System-Modeling
	Electrochemical Nernst modeling
		Nernst modeling and improvement
			Model building process
			Parameter identification strategies
			State-space description
		Modeling realization
			Simulation modeling structure
			Characteristic description
			Testing procedure design
		Model parameter identification
			Pulse current test logic
			Parameter identification results
			Curve fitting analysis
			Simulation result analysis
		Experimental verification
			Characteristic testing
			Pulse-power characteristic test
			Varying condition voltage tracking
			Modeling result and verification
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-4---Battery-state-estimation-methods_2021_Battery-System-Modeling
	Battery state estimation methods
		State parameter identification
			State-of-charge estimation
			State-of-energy prediction
			State-of-power evaluation
			State-of-health determination
			Remaining-useful-life prediction
		Battery state influencing factors
			Temperature influence
			Charge-discharge current rate
			Self-discharging description
			Aging degree variation
		Traditional state estimation methods
			Algorithm comparison
			Foundational methods
			Kalman filtering extension
			Particle filtering estimation
		Machine learning algorithms
			State of art introduction
			Support vector machine
			Self-learning neural network
			Deep learning for life prediction
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-5---Battery-state-of-charge-estimation-met_2021_Battery-System-Model
	Battery state-of-charge estimation methods
		Introduction
		State-of-charge estimation methods
			Calculation algorithm comparison
			Coordinate transformation
			Binary iterative algorithm
			Extended Kalman filtering
			Algorithm implementation
			Unscented kalman filtering
			Cubature Kalman filtering
		Iterative calculation and modeling
			Equivalent circuit modeling
			Parameter identification
			Kalman filtering algorithm
			Extended Taylor series expansion
			Estimation model construction
			Iterative prediction and correction
		Experimental result analysis
			Pulse-power characteristic test
			Estimation features and comparison
			Thermal influencing effect
			Time-varying condition influence
			Complex current rate verification
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-6---Battery-state-of-energy-prediction-met_2021_Battery-System-Model
	Battery state-of-energy prediction methods
		Overview
		Iterative algorithm and realization
			Equivalent modeling
			Mathematical description
			Iterative calculation procedure
			Parameter initialization strategy
			Estimation model construction
		Improved prediction and correction
			Cholesky decomposition
			Calculation algorithm flow
			Covariance matching
			Improved correction strategy
		Experimental results analysis
			Parameter identification
			Pulse-power characteristic test
			Cyclic intermittent discharge
			Packing pulse current test
			Estimation processing effect
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-7---Battery-state-of-power-evaluation-met_2021_Battery-System-Modeli
	Battery state-of-power evaluation methods
		State-space model construction
		State estimation structural design
			Algorithm overview
			Iterative calculation
		Calculation procedure design
			Computing framework design
			Iterative calculation steps
			Algorithm improvement
			Estimation modeling realization
		Experimental analysis
			Parameter identification results
			State estimating and voltage tracking
			Power-temperature variation
			Main charge-discharge condition test
			Pulse-current charge-discharge test
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-8---Battery-state-of-health-estimation-met_2021_Battery-System-Model
	Battery state-of-health estimation methods
		Equivalent modeling and description
			Equivalent circuit analysis
			Mathematical state-space expression
		Particle filtering algorithm
			Bayesian estimation
			Monte Carlo treatment
			Importance sampling
		Estimation modeling process
			Equivalent circuit modeling
			Calculation process design
			Particle degradation expression
			Resampling treatment
		Whole life-cycle experiments
			Experimental procedure design
			Capacity variation for new batteries
			Characteristic test for new batteries
			Aging test for pulse-current cycles
			Capacity variation for aged batteries
			Characteristics test for aged batteries
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Chapter-9---Battery-system-active-control-strateg_2021_Battery-System-Modeli
	Battery system active control strategies
		Overview of battery management systems
			Research status
			Classification and function
			Control system design
		Charging strategies for capacity extension
			Constant-current constant-voltage
			Multistage constant current
			Pulse current charging
			Sinusoidal ripple current
			Experimental analysis
		Balancing control methods
			Inconsistency mechanism
			State-of-balance description
			Balance strategy classification
			Passive equalization
			Active balancing management
		Temperature adjustment
			Overview of thermal controlling
			Air system circulation control
			Liquid cooling and heating
			Phase-change heat transfer
			Heat pipe temperature control
			Heatable thermal management
			Thermal model
			System construction and safety control
			Overall structure design
			Core factor measurement
			System protection
			Electrical interface connection
			Experimental performance test
		Conclusion
		Acknowledgments
		Conflict of interest
		References
Index
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	C
	D
	E
	F
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	H
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	Q
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