Fast | Accurate | Easy
Present battery optimization approach is hugely time and data intensive, taking up to a year
and a half, and is prone to errors.
Parameter extraction is tedious and expensive
Requires a significant amount of data
Physics-based modelling is used, which slows down design cycles
OEMs spend up to 2 years validating battery chemistry and thermal management
Significant costs are incurred in hardware, time, and on experts
Inaccurate results lead to product design errors, accidents, and loss of consumer confidence
Expensive software and hardware required
Expensive and Perpetual Machine locked licenses required
Quickly estimate SOH at the cell and pack level for user drive cycles and ambient conditions
Perform pack-level thermal analysis to optimize pack design, and cooling mechanism and increase life-span of the battery
Convert a traditional drive cycle (velocity vs. time) into a usable (current vs time) drive cycle and predict vehicle range.
Perform thermal runaway initiation and propagation studies to identify propagation speed and design mitigation strategies
PREVENT BATTERY EXPLOSIONS
Businesses are enabled through intelligent design to prevent battery explosions and adhere to government regulations
Businesses can estimate battery life for various use cases, and decide on choice of cooling strategy to optimize warranty
Businesses can arrive at an optimal fast charging strategy enhancing UX, without damaging battery
Businesses can optimize pack configuration before prototyping to ensure power and energy requirements are met
No parameter extraction required.
Uses easily accessible data.
Applies a revolutionary Hybrid Model.
If cost could be compared to trees, we would be guilty of deforestation. In other words, cuts costs by 95%.
Incredibly quick and accurate results within a margin of 5% leading to safer and longer lasting batteries.
No Installation or Experts Needed.
A month and a half is all it takes for the battery pack to be rolled out.
Unique SaaS Model