Akademik Veri Yönetim Sistemi
IEEE Access, cilt.14, sa.2026, ss.45626-45647, 2026 (SCI-Expanded, Scopus)
The integration of second-life batteries (SLBs) into electric vehicle (EV) facilities represents a
pivotal advancement for achieving environmentally sustainable and economically viable mobility solutions.
SLBs are a transformative energy-storage strategy that enhances the efficiency, resilience, and sustainability of EV infrastructure. This systematic review rigorously analyzes academic literature sourced from
ScienceDirect and Web of Science to investigate key research domains, emerging trends, and international
contributions pertinent to SLB applications. The study emphasizes critical performance indicators such as
state of health (SoH), state of charge (SoC), and degradation rates, underscoring the necessity of continuous
monitoring to uphold SLB reliability and safety. Moreover, advanced machine learning (ML) methodologies
such as random forest (RF), support vector machine (SVM), and long short-term memory (LSTM)are
highlighted for their robust potential in optimizing SLB characterization and operational performance. This
review addresses multifaceted challenges, including battery degradation, characterization methodologies,
integration complexities, testing standards, and performance evaluation frameworks, by concentrating on
the latest innovations in SLB deployment. Finally, the findings underscore the imperative for sustained
interdisciplinary research and cross-sectoral synergies to advance SLB integration, ultimately fostering the
evolution of more sustainable and efficient EV charging networks.