Advanced Battery Technologies: New Applications and Management Systems

Edited by
August 2021
190 pages
  • ISBN978-3-0365-0922-8 (Hardback)
  • ISBN978-3-0365-0923-5 (PDF)

This book is a reprint of the Special Issue Advanced Battery Technologies: New Applications and Management Systems that was published in

Computer Science & Mathematics
Physical Sciences

In recent years, lithium-ion batteries (LIBs) have been increasingly contributing to the development of novel engineering systems with energy storage requirements. LIBs are playing an essential role in our society, as they are being used in a wide variety of applications, ranging from consumer electronics, electric mobility, renewable energy storage, biomedical applications, or aerospace systems. Despite the remarkable achievements and applicability of LIBs, there are several features within this technology that require further research and improvements. In this book, a collection of 10 original research papers addresses some of those key features, including: battery testing methodologies, state of charge and state of health monitoring, and system-level power electronics applications. One key aspect to emphasize when it comes to this book is the multidisciplinary nature of the selected papers. The presented research was developed at university departments, institutes and organizations of different disciplines, including Electrical Engineering, Control Engineering, Computer Science or Material Science, to name a few examples. The overall result is a book that represents a coherent collection of multidisciplinary works within the prominent field of LIBs.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
electric wheelchair; lithium-ion battery; supercapacitor; semiactive hybrid energy storage system; smart energy management system; kinetic battery model; lithium-ion batteries; nonlinear capacity; fractional calculus; lithium-ion battery; ultrasonic sensing; health monitoring; state of health; failure indication; data fusion; lithium-ion battery; temperature-dependent second-order RC model; SOC estimation; dual Kalman filter; state of charge; battery parameters identification; equivalent circuit model; dual Kalman filter; battery equalization; flyback transformer; topology; commercial Li-ion testing; RPT; CtcV; cell-to-cell variations; traction battery; LiFePO4; short-circuit; deep discharge; damage recovery; SOC; second-order RC equivalent circuit model; system noise covariance; observation noise covariance; AUKF; lithium-ion battery; battery modeling; battery chargers; power supplies; resonant inverters; phase control