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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 vehicles and energy storage.

Electric vehicles --- Batteries. --- Energy storage. --- Automotive engineering. --- Control engineering. --- Electrical engineering. --- Energy Storage. --- Automotive Engineering. --- Control and Systems Theory. --- Electrical Engineering. --- Electric engineering --- Engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Storage of energy --- Force and energy --- Power (Mechanics) --- Flywheels --- Pulsed power systems --- Mechanical and Thermal Energy Storage. --- Electrical and Electronic Engineering.