Data Analysis and Visualization Platform Design for Batteries Using Flask-Based Python Web Service

Abstract

Battery operating data of electric vehicles is becoming increasingly quantified and complicated. A data analysis platform is necessary to excavate high-value battery status information for more efficient battery management. This paper proposes a Flask framework and Pyecharts-based lithium-ion data analysis and visualization platform. The design processes including the front-end and back-end frameworks, data preprocessing, data visualization, and data storage are elaborated. In the proposed data platform, a case study of battery state of charge estimation using different machine learning methods is demonstrated, and most of the estimation errors are less than 2.0%, highlighting the effectiveness of the platform.

Keywords

• lithium-ion battery
• visualization platform design
• data analysis
• machine learning method
• state of charge (SOC) estimation