|
Showing 1 - 5 of
5 matches in All Departments
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.
This book presents the latest algorithmic developments in the
cell-mapping method for the global analysis of nonlinear dynamic
systems, global solutions for multi-objective optimization
problems, and global solutions for zeros of complex algebraic
equations. It also discusses related engineering and scientific
applications, including the nonlinear design of structures for
better vibration resistance and reliability; multi-objective,
structural-acoustic design for sound abatement; optimal
multi-objective design of airfoils for better lift; and optimal
multi-objective design of linear and nonlinear controls with or
without time delay. The first book on the subject to include
extensive Matlab and C++ codes, it presents various implementation
algorithms of the cell-mapping method, enabling readers to
understand how the method works and its programming aspects. A link
to the codes on the Springer website will be provided to the
readers.
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.
This book presents the latest algorithmic developments in the
cell-mapping method for the global analysis of nonlinear dynamic
systems, global solutions for multi-objective optimization
problems, and global solutions for zeros of complex algebraic
equations. It also discusses related engineering and scientific
applications, including the nonlinear design of structures for
better vibration resistance and reliability; multi-objective,
structural-acoustic design for sound abatement; optimal
multi-objective design of airfoils for better lift; and optimal
multi-objective design of linear and nonlinear controls with or
without time delay. The first book on the subject to include
extensive Matlab and C++ codes, it presents various implementation
algorithms of the cell-mapping method, enabling readers to
understand how the method works and its programming aspects. A link
to the codes on the Springer website will be provided to the
readers.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R383
R318
Discovery Miles 3 180
|