Computer Aided Engineering of Batteries [electronic resource] / edited by Shriram Santhanagopalan.

9783031176074

1st ed. 2023.

Cham : Springer International Publishing : Imprint: Springer, 2023.

1 online resource (XI, 280 p.) 1 illus.

Access is available to the Yale community.

Access restricted by licensing agreement.

This edited volume, with contributions from the Computer Aided Engineering for Batteries (CAEBAT) program, provides firsthand insights into nuances of implementing battery models in actual geometries. It discusses practical examples and gaps in our understanding, while reviewing in depth the theoretical background and algorithms. Over the last ten years, several world-class academics, automotive original equipment manufacturers (OEMs), battery cell manufacturers and software developers worked together under an effort initiated by the U.S. Department of Energy to develop mature, validated modeling tools to simulate design, performance, safety and life of automotive batteries. Until recently, battery modeling was a niche focus area with a relatively small number of experts. This book opens up the research topic for a broader audience from industry and academia alike. It is a valuable resource for anyone who works on battery engineering but has limited hands-on experience with coding.

Springer ENIN.

Books / Online

English

March 21, 2023