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BatteryIQ’s tech platform (P-OASys) combines deep battery knowledge, understanding of vehicle performance and fleet operations coupled with financial engineering to solve battery fair market value (FMV)/ residual value (RV), asset life maximisation and resale problems. We predict the FMV risk and assure the battery residual value in a given usage.
P-OASys stands for Prediction Optimisation and Analytics System. It predicts EV residual value and fair market value, provides insights to optimise EV operations and helps in monitoring & analysing risks in EV operations pertaining to asset, operations and financials. Our methods are not dependent on data from prior EV operations, and hence have a significant advantage over methods that rely on deriving residual life predictions from past operations.
The expected monetary value of the battery at the end of the productive life of an asset is called residual value. The probable monetary value of an asset (in our case, a battery) at any time during the productive life of the battery asset is called fair market value. These values are different from accounting methods of depreciation calculations. The changes in value are caused by variety of factors including but not limited to technology, operations and environment. We have developed a scientific method to derive the residual value and fair market value and also price its risk.
Residual life is the remaining battery capacity available at the end of a specific productive operation. OEMs calculate the useful life at under a few driving and charging conditions to assess the best and worst case scenarios, typically to around 80% State-of-health (SoH - the measure of residual life).
Residual value is an assessment of the economic worth of the residual life of a battery.
BatteryIQ uses its residual value/fair market value prediction technology to offer financial assurance for the battery value for a given EV operation. This helps improve terms for financing by quantifying the unknown risks and backing them with assurances.
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