Visualizing technology topics on recycling power battery: A perspective of BERTopic and entropy weight
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The rapid expansion of electric vehicles has led to a surge in retired power batteries, posing significant challenges for resource recovery and environmental sustainability. However, existing studies lack a systematic and quantitative framework to identify key technologies and evaluate patent value in this domain. This study hypothesizes that integrating topic modeling with multi-dimensional patent evaluation can effectively reveal technological evolution patterns and identify high-value core patents. Methodologically, we employ BERTopic to extract and track dynamic technological topics from global patent data and construct a patent technology value evaluation system using an entropy-weight method based on eight indicators. The results show that China leads in patent quantity but lags behind the United States and Japan in average patent value, with high-value patents concentrated in system-level metallurgical and material regeneration technologies rather than process-level optimizations. This study contributes a novel integrated analytical framework and provides targeted insights for fostering high-value innovation and optimizing technological pathways in the power battery recycling industry. • A BERTopic and patent value analysis reveals key tech trends in EV or power battery recycling. • Global R&D hotspots on recycling power battery are similar, but China and other countries differ in technical pathways. • Provides policy insights for China to improve technology quality and regulatory frameworks.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Visualizing technology topics on recycling power battery: A perspective of BERTopic and entropy weight
- Date Crossref
- 01/06/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.