BattStudio is a battery management platform designed for battery R&D. It offers tools for modeling, data analysis, and simulation. Features include Battery Data as a Service (BattDaaS) and Battery Simulation as a Service (BattSaaS), providing a comprehensive suite for managing and exploring battery data and models.
Features
BattDaaS
Provides Battery Data as a Service, which includes robust data services integrated for R&D activities.
BattSaaS
Offers Battery simulation as a Service, allowing users to explore and test battery designs in a virtual setting.
BattETL
Identifies battery state of health gaps with ETL (Extract, Transform, Load) process.
BattETL-RT
Offers real-time data upload and immediate insights with local micro-data triggers.
BattDB
Manages battery data with industry-compliant storage.
BattMen
Monitors and reviews data from sensors to improve decision making regarding battery health.
BattETL (Batch Data Ingestion)
Provides an easy to use platform to collect, clean, and aggregate batch data from battery systems and prepare it for further analysis.
BattETL-RT (Real-Time Data Ingestion)
Allows for the ingestion of real-time battery data streams into the system, enabling immediate analysis and action.
BattDB (Time Series Relational Database)
A dedicated database for time series data that stores, organizes, and manages battery data efficiently to support data-driven operations.
BattMon (Instantaneous Alerting & Data Visualization)
Offers tools for visualizing battery data and setting up alerts to ensure real-time monitoring and decision-making based on battery performance metrics.
Scenario Simulation
Allows users to define and simulate various scenarios to evaluate battery performance under different conditions.
Hypothesis Testing
Enables users to test hypotheses about battery performance, aiding design and optimization.
Insight Generation
Provides data-driven insights into battery behavior to aid in decision-making.