Semantic Scholar Open Access 2025

Innovative Structural Engineering of Silicon-Based Anodes for Lithium-Ion Batteries

Kun Peng

Abstrak

The transition towards renewable energy sources has led to an increasing reliance on lithium-ion batteries (LIBs) for applications in electric vehicles and portable electronics. Among the various components of LIBs, silicon-based anode materials are gaining attention due to their high theoretical capacity and the abundant availability of silicon. Despite their potential, silicon anodes encounter significant obstacles during charge-discharge cycles, including substantial volume expansion and poor electrical conductivity. To address these challenges, a range of structural optimization strategies has been investigated. This review highlights recent developments in the structural engineering of silicon-based anodes, particularly focusing on innovations in nanostructure design and composite materials. Nanostructuring silicon helps reduce particle size and optimize microstructures, which mitigates volume expansion, improves cycling stability, and promotes enhanced lithium-ion diffusion. Composite approaches, integrating silicon with carbon and metal oxide materials, further enhance conductivity and mechanical integrity. However, despite substantial advancements, issues such as production cost, long-term durability, and scalability remain significant barriers to the widespread adoption of silicon anodes. Future research should focus on integrating material design with interface engineering and exploring novel synthesis techniques to enable the large-scale implementation of silicon-based anodes in high-energy-density storage systems.

Penulis (1)

K

Kun Peng

Format Sitasi

Peng, K. (2025). Innovative Structural Engineering of Silicon-Based Anodes for Lithium-Ion Batteries. https://doi.org/10.54254/2755-2721/2025.22597

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.54254/2755-2721/2025.22597
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.54254/2755-2721/2025.22597
Akses
Open Access ✓