Batteries-Basel电池(巴塞尔)

Batteries-Basel(英文缩写 BATTERIES-BASEL),ISSN 2313-0105,eISSN 2313-0105,中文译名:电池(巴塞尔) 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
6.300
JCR 分区
Q1
CAS 分区
B4
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 2313-0105 · eISSN: 2313-0105 · 缩写: BATTERIES-BASEL ·中文: 电池(巴塞尔)

期刊介绍

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期刊简介

Batteries-Basel 是一本聚焦电池科学与技术的国际开放获取期刊,涵盖从基础电化学到器件集成的完整链条。主要领域包括锂离子、钠离子、固态、金属空气等电池体系,以及电极材料、电解质、界面工程、热管理与安全评估。读者群为材料、化学、能源与电气工程领域的研究人员、工程师及产业研发人员,适合关注储能技术前沿与工程应用的跨学科学者。

研究方向

主要方向包括电池材料与化学、电化学机理、电极与电解质设计、电池制造与表征、性能衰减与寿命预测、热失控与安全、回收与可持续性,以及电池管理系统和规模化储能应用。论文类型以原创研究、综述、短通讯和观点文章为主,兼收方法学与工程案例研究。

期刊特色

研究取向兼顾基础机理与工程验证,强调数据可重复性和实际性能指标。论文通常包含系统的电化学测试、材料表征与器件评估,部分工作涉及多尺度建模或系统集成。适合从事储能材料、电化学、能源器件及电池工程的研究生、博士后和研发人员阅读与投稿。

投稿难度

投稿难度中等偏上,期刊对创新性、实验完整性和数据质量要求较高,且因开放获取而竞争激烈。建议在投稿前明确研究问题与现有文献的差异,补充充分的对照实验和循环稳定性数据,并规范报告电化学参数。若工作偏工程应用,应突出实际场景下的性能优势与可扩展性。

Batteries-Basel 最新收录文献

  1. JCR分区: Q1 CAS分区: B4 影响因子: 6.3

    1. Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality.

    1. 基于云的锂离子电池智能电池管理系统的概念审查:可行性、物流和功能
    作者:
    Manh-Kien Tran, Satyam Panchal, Tran Dinh Khang, Kirti Panchal, Roydon Fraser, Michael Fowler
    日期:
    2022-02-18

    Energy storage plays an important role in the adoption of renewable energy to help solve climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy storage due to their properties. In order to ensure the safety and efficient operation of LIB systems, battery management systems (BMSs) are required. The current design and functionality of BMSs suffer from a few critical drawbacks including low computational capability and limited data storage. Recently, there has been some effort in researching and developing smart BMSs utilizing the cloud platform. A cloud-based BMS would be able to solve the problems of computational capability and data storage in the current BMSs. It would also lead to more accurate and reliable battery algorithms and allow the development of other complex BMS functions. This study reviews the concept and design of cloud-based smart BMSs and provides some perspectives on their functionality and usability as well as their benefits for future battery applications. The potential division between the local and cloud functions of smart BMSs is also discussed. Cloud-based smart BMSs are expected to improve the reliability and overall performance of LIB systems, contributing to the mass adoption of renewable energy.

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