System and method for analyzing temperature changes in supercapacitor battery storage for electric vehicle

This invention describes a system for electric vehicles that monitors the temperature of the car's energy storage unit, such as a supercapacitor battery. It also tracks how the vehicle is performing. A computer system then analyzes this information, especially looking for patterns in past temperature data, to figure out how temperature changes affect the car's operation. Based on these findings, it suggests adjustments to how the vehicle runs and displays these recommendations to the driver.

Why it matters: Filed before the widespread integration of advanced embedded machine learning. The claims' focus on identifying patterns in historical data to predict effects on vehicle operation is now significantly easier to implement with more powerful edge computing and accessible AI/ML frameworks.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSensors, control system, software logic, database

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