论文标题
电池数据科学的用户友好环境
A User-Friendly Environment for Battery Data Science
论文作者
论文摘要
我们向电池数据科学报告了用户友好的软件环境。它旨在简化数据管理，数据清洁和数据分析，以帮助弥合大多数电池科学家的域专业知识之间的差距，以及随着该领域变得越来越大的数据密集型，所需的工具。适用于从不同来源获取电池测试数据的软件解决方案。通过以智能方式汇总数据，用户可以简化日常数据分析任务并利用Jupyter笔记本功能来构建高级脚本和分析，从而使电池工程团队的生产力更高。
We report a user-friendly software environment for battery data science. It is designed to streamline data management, data cleaning, and data analysis to help bridge the gap between the domain expertise of most battery scientists and the tools needed as the field becomes increasingly data intensive. The software solution suitable for ingesting battery test data from disparate sources. By aggregating data in an intelligent way, users can streamline routine data analysis tasks and leverage Jupyter Notebook functionality to build advanced scripts and analytics, thereby making battery engineering teams more productive.
