What would we expect to see on a battery analytics dashboard? This depends to some extend on the application of the battery and the data access level. Here it would be good to put all of this to one side and think about the ideal set of data and data rates.
- Pack serial/identification number
- State
- State of Charge
- Global
- Cell Minimum
- Cell Maximum
- State of Health
- Capacity
- Resistance
- State of Power
- Charge / Discharge Limits
- Temperature
- Pack Average
- Coolant in
- Coolant out
- Delta across pack
- Fault Flags
- Cells
- BMS
- BDU
- Global Sensors
- gas sensing
- humidity
- temperature
- Global
- Operational, Service, Warning, Locked Out
- Cells
- State of Charge
- Data
- Energy
- Power
- Temperature
- Voltage
- Current
- Predicted
- State of Health
- Remaining Useful Life
- Cycles
- Time
- Energy throughput
- Charge / discharge power
When thinking about the data that would be useful it will be dependent on the application and what that data is to be used for.
Application considerations:
- Mobility
- Vehicle fleet
- BESS
Analysis:
- Remote system management
- Data aggregation
- Offline state estimations
- Model based analysis
- Prediction of future state
Data use:
- System management
- BMS algorithm optimisation
- Pack design
- Risk management
With all data capture, storage and analysis it is important to consider the Data Protection Legislation that applies and how all requirements will be enforced before any system is applied.
This post has been built based on the support of and sponsorship from: Quarto Technical Services, Eatron Technologies and About:Energy