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Battery Management Systems of Electric and Hybrid Electric Vehicles
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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
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Keywords
- 3RC ECM Li-ion battery model
- adaptive EKF SOC estimator
- adaptive UKF SOC estimator
- ADVISOR estimate
- arrayed waveguide grating (AWG)
- Battery
- battery degradation
- battery management systems
- battery model
- CMOS sensor
- current distribution
- direct laser lithography
- electric bus
- electric mobility
- Electric vehicles
- fault detection and isolation
- Fiber Bragg Grating (FBG)
- lithium-ion battery
- measuring test bench
- online parameter estimation
- parallel-connected cells
- particle filter SOC estimator
- recursive least squares
- SAFT lithium-ion battery
- sensor fault
- Simscape model
- state of charge
- supercapacitor
- tab contact resistance
- Technology, engineering, agriculture
- Technology: general issues
- Ultracapacitor
Links
DOI: 10.3390/books978-3-0365-1061-3Editions