arXiv cs.CL· Tosin Adewumi, Martin Karlsson, Marcus Liwicki, Mikael Sj\"odahl, Lama Alkhaled, Rihab Gargouri, Nudrat Habib·· 13 小时前AI 评分18
从岩底到云端：电池全生命周期 NLP 应用系统综述
From the Rock Floor to the Cloud: A Systematic Survey of State-of-the-Art NLP in Battery Life Cycle
AI 导读
一篇系统综述梳理了 NLP 在电池全生命周期各阶段的应用，按 PRISMA 方法检索 Google Scholar、IEEE Xplore 和 Scopus，从 274 篇论文中筛出 66 篇进行评审。研究发现电池领域正涌现材料发现等新 NLP 任务，但缺乏标准 benchmark 仍是主要挑战。作者提出面向欧盟数字电池护照（DBP）的 TLP 框架，结合智能体 AI 与优化提示词以应对部分难题。
正文 · 原文
Abstract:This work presents a systematic review of the application of natural language processing (NLP) along the entire battery life cycle, instead of the review of one stage or method, and introduces a novel conceptual technical language processing (TLP) framework for the European Union (EU)'s proposed digital battery passport (DBP) and other general battery predictions, as the main objective. It follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method and employs three reputable databases or search engines, including Google Scholar, Institute of Electrical and Electronics Engineers Xplore (IEEE Xplore), and Scopus, searched in October, 2025. The search criteria are 'text', 'language processing', and 'battery' while the exclusion criteria are non-relevant papers and those published before 2017, which was applied to all databases, except IEEE Xplore because it turned up fewer results. Consequently, it assesses 274 scientific papers before the critical review of the final 66 relevant papers. We publicly provide artifacts of the review for validation and possible reproducibility. The findings show that new NLP tasks are emerging in the battery domain, which facilitate materials discovery and other stages of the life cycle. Notwithstanding, challenges remain, such as the lack of standard benchmarks. The proposed TLP framework, which incorporates agentic AI and optimized prompts, may be apt for tackling some of the challenges.
| Comments: | 18 pages, 3 images |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2510.27369 [cs.CL] |
| (or arXiv:2510.27369v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2510.27369 arXiv-issued DOI via DataCite |
Submission history
From: Tosin Adewumi [view email]
[v1]
Fri, 31 Oct 2025 11:00:39 UTC (808 KB)
[v2]
Tue, 27 Oct 2026 10:09:02 UTC (1,167 KB)
来源：arXiv cs.CL · arxiv.org