Battery Management Algorithm for Electric Vehicles
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Beschreibung
This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms.
Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehiclesand energy storage.
This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms.
Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehiclesand energy storage.
Provides a detailed introduction to, and comprehensive descriptions of, model-based state estimation methods Includes an extensive review of related heating and charging methods Describes the integration of model-based state of charge, state of health, and state of power estimators into battery management systems
Autor*in
Rui Xiong
Themen in »Battery Management Algorithm for Electric Vehicles«
New Energy Vehicle Hybrid Electric Vehicle Lithium Ion Batteries Lithium Iron Phosphate Battery MnNiCo Ternary Battery Topological Structure of BMS Battery Testing Process Temperature Characteristic of Battery Battery Modeling Theory Battery Pack Peak Power Estimation RUL Prediction Algorithm Development Process General Flow of Algorithm Development Electric Vehicle