Author:
Liu Kailong,Wang Yujie,Lai Xin
Abstract
AbstractAlthough great efforts have been made in developing data science technology for benefitting full-lifespan management of Li-ion batteries, many knowledge gaps still exist. This chapter summarizes these challenges, future trends, and promising solutions to boost the development of data science solutions in the management of battery manufacturing, operation, and reutilization, respectively. This could further inform the selections of data science methodology and academic research agendas alike, thus boosting progress in data science-based battery full-lifespan management on different technology readiness levels.
Publisher
Springer International Publishing