Fuzzy logic based traction control for electric vehicles

This invention describes a smart traction control system for electric vehicles. It works by constantly monitoring how much each wheel is slipping and then, using a fuzzy logic system, intelligently picks the best control method from a set of advanced options to reduce that slip. The chosen method then calculates how much to adjust the power to each wheel to maintain grip, also considering the car's state and road conditions.

Why it matters: The increasing availability of powerful, cost-effective embedded processors and AI accelerators for automotive edge computing since 2019 makes real-time adaptive control selection and execution of multiple complex algorithms more practical. This enables more sophisticated traction management in modern electric vehicles.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSpecialized software, vehicle integration, real-time control

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