Recent advancements and perspectives in lithium-ion battery technology
Abstract
This paper aims to present a timely review of recent developments and perspectives on Lithium-Ion Battery (LIB) technologies regarding sustainable development, electrochemical efficiency, and machine learning models for forecasting the availability of services such as vehicle-to-home. The paper argues that the world is increasingly demanding sustainable, reliable energy sources because current sources are unstable and fossil-fuel-dependent. Research shows that 85 % or more of the world's energy comes from non-renewable sources, including natural gas, coal, and oil, underscoring the world's persistent reliance on fossil fuels. This study conducts a literature review on recent advances in sustainable LIB development, emphasising emerging chemical technologies, novel energy materials, and innovations in battery manufacturing. Findings indicate a growing demand for LIBs driven by environmental sustainability goals. However, LIB production was constrained by resource scarcity and rising manufacturing costs. To address these issues, researchers are exploring next-generation chemistries, improved material design, and enhanced recycling processes. Additionally, advancements in machine learning and battery-material characterisation are essential to meet evolving consumer demands, including for vehicle-to-home applications. • Reviews recent lithium-ion batteries advances with a focus on sustainability and electrochemical efficiency. • Highlights the global shift toward sustainable energy amid the limits of fossil fuel dependence. • Identifies production challenges, such as material scarcity and rising costs, calling for innovation. • Emphasizes advanced recycling and machine learning for improving energy services like vehicle-to-home.
Fields of Study & Subjects
Advanced Battery Technologies Research
Extraction and Separation Processes
Electric Vehicles and Infrastructure
Publication details
- Journal / source
- Energy Strategy Reviews
- Publisher
- Elsevier BV
- Volume
- 64
- Pages
- 102064–102064
- Publication date
- 24 January 2026
- Language
- EN