Design Documents

Contents

• Business Model Canvas - jump
  • Business Model Canvas (PDF)
• Screen Sketches - jump
  • Screen Sketches (PDF)
• Block Diagram - jump
  • Block Diagram (PDF)
• Requirements - jump
  • Requirements (PDF)
• Use Cases - jump
  • Use Cases (PDF)
• API Descriptions

Business Documentation

System Documentation

Required deliverable: a functioning web-based tool demonstrating capacity forecasting and RUL prediction capabilities for battery reuse and design.

Optional deliverable: A more advanced battery test dashboard for equipment/channel availability, status, safety events, alerts. 

1. Be able to display data on UI
   1. Using React with JS
2. Create Backend
   1. Using Python
   2. Set up to interface with Neware API
   3. Acquires voltage and current time series data from lithium-ion (Li-ion) battery cells being tested on Neware battery testers (data updates performed automatically in the background);
3. Communicate between components and pass data
4. Frontend:
   1. Display voltage, current time series data, capacity forecast received from backend in table for each battery (similar to figure 1)
5. Backend: Create predictions for battery life
   1. Forecasts the capacity of these cells in future charge/discharge cycles and predicts the cells’ remaining useful lives (RULs) to improve the reuse and design of battery energy storage systems (similar to figure 2)
6. Frontend: Display predictions for battery life
   1. Plot measured capacity, forecasted capacity trajectories (means and 95% prediction internals), and predicted end of life (EOL) distribution (see Fig. 2 for an example plot). The tool should have the ability to create individual plots for multiple cells on a test.
   2. Displays  the cells’ remaining useful lives (RULs) to improve the reuse and design of battery energy storage systems
7. Frontend and Backend: Create more advanced battery test dashboard as time allows

• Researchers wanting to view the voltage and time data from Li-ion battery cells that are currently being tested.
• Researchers wanting to be able to predict the capacity of battery cells in future cycles
• Researchers wanting to visualize capacity and capacity predictions
• Researchers wanting to visualize analysis performed on collected data