Framework for monitoring electric vehicle battery second life health and estimating remaining useful life

Abstract

The rapid development of electric vehicles has led to the increasingly important role of lithium batteries in the field of performance sources. New technologies make people become more environmentally conscious and switch from buying to controlling electric vehicle life cycles. The mass production of lithium batteries may lead to environmentally friendly transportation. However, traditional lithium battery manufacturers and government policies often focus on the production and recycling phases. The challenges for battery life cycle management and circular economy are increasingly complex and diverse. This paper presents a comprehensive framework for the secondary utilization of lithium batteries by discussing battery aging, monitoring, recycling, secondary use, and lithium battery health prediction. As a result, multiple algorithms were used to evaluate their effectiveness in battery performance prediction. The analysis of the experiments’ results revealed the importance of data pre-processing in improving predictive accuracy, the dependence of model selection on data adaptability, and the need for continuous adjustments during the predictive modeling process.