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The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge

Technology: general issues --- arrayed waveguide grating (AWG) --- CMOS sensor --- direct laser lithography --- fiber Bragg grating (FBG) --- lithium-ion battery --- fault detection and isolation --- sensor fault --- battery model --- battery management systems --- battery degradation --- electric vehicles --- online parameter estimation --- recursive least squares --- parallel-connected cells --- measuring test bench --- current distribution --- tab contact resistance --- battery --- ultracapacitor --- supercapacitor --- electric mobility --- electric bus --- SAFT lithium-ion battery --- Simscape model --- 3RC ECM Li-ion battery model --- state of charge --- adaptive EKF SOC estimator --- adaptive UKF SOC estimator --- particle filter SOC estimator --- ADVISOR estimate

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge

arrayed waveguide grating (AWG) --- CMOS sensor --- direct laser lithography --- fiber Bragg grating (FBG) --- lithium-ion battery --- fault detection and isolation --- sensor fault --- battery model --- battery management systems --- battery degradation --- electric vehicles --- online parameter estimation --- recursive least squares --- parallel-connected cells --- measuring test bench --- current distribution --- tab contact resistance --- battery --- ultracapacitor --- supercapacitor --- electric mobility --- electric bus --- SAFT lithium-ion battery --- Simscape model --- 3RC ECM Li-ion battery model --- state of charge --- adaptive EKF SOC estimator --- adaptive UKF SOC estimator --- particle filter SOC estimator --- ADVISOR estimate