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Battery State Estimation - Methods and models (Hardcover)
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Battery State Estimation - Methods and models (Hardcover)
Series: Energy Engineering
Expected to ship within 10 - 15 working days
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Batteries are of vital importance for storing intermittent
renewable energy for stationary and mobile applications. In order
to charge the battery and maintain its capacity, the states of the
battery - such as the current charge, safety and health, but also
quantities that cannot be measured directly - need to be known to
the battery management system. State estimation estimates the
electrical state of a system by eliminating inaccuracies and errors
from measurement data. Numerous methods and techniques are used for
lithium-ion and other batteries. The various battery models seek to
simplify the circuitry used in the battery management system. This
concise work captures the methods and techniques for state
estimation needed to keep batteries reliable. The book focuses
particularly on mechanisms, parameters and influencing factors.
Chapters convey equivalent modelling and several Kalman filtering
techniques, including adaptive extended Kalman filtering for
multiple battery state estimation, dual extended Kalman filtering
prediction for complex working conditions, and particle filtering
of safety estimation considering the capacity fading effect. This
book is necessary reading for researchers in battery research and
development, including battery management systems and related power
electronics, for battery manufacturers, and for advanced students
in power electronics.
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