The Importance of Battery Data Analytics
All engineers want to reduce the risk of a catastrophic fire throughout the lifecycle of their battery packs. By identifying a bad (or potentially bad) batch of batteries, engineers can ensure a successful product launch while avoiding costly recalls.
Manufacturers want their products in the market ASAP, but intrinsically safe battery designs require a lot of work. To reach this optimal state as swiftly as possible, OEMs need their battery engineering departments to leverage the best battery predictive maintenance tools.
Tools such as Enterprise Battery Intelligence (EBI) help reveal valuable insights hidden in raw time-series data, via methods such as differential capacity analysis (dQ/dV) that allow you to see considerably more detail in a battery than aggregate statistics like capacity, energy, and efficiency per cycle.
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The Voltaiq Advantage
Qualify new suppliers faster
Don’t get stuck with a single source of cells in a globally competitive market. Accelerate testing and characterisation of new supplier batteries.
Accelerate product development
Cut battery testing time in half to get new products out faster and avoid embarrassing and costly launch delays.
Optimize product performance
Extend range, runtime, or charging speed with faster analysis of your batteries under a broader set of operating conditions and application scenarios.
Reduction in battery development testing time.
Acceleration of key battery analysis tasks.
Automation of battery data management workflows.