Technologies directed to optimal Litz wires and winding design for high-power wireless charging systems.
The disclosed technology relates to a modular electric vehicle (EV) charging architecture that enables multiple vehicles to be charged dynamically and simultaneously using a shared pool of power conversion resources.
With increase in renewable energy integration into the power grid, the need for power electronic (PE) interfaces that can maximize grid support is increasing. Such interfaces are crucial to improve the grid resiliency and reliability metrics.
The smart charge management for battery life and TCO approach effectively minimizes battery degradation by considering a wide range of factors, such as ambient temperature, state of health, and battery chemistry.
This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.
Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.
The invention relates to energy reduction and specifically to technologies for reducing fuel usage in heavy trucks.
Modern vehicles rely on controller area networks (CANs) to internally communicate information about vehicular functions, such as accelerator pedal angle, brakes, and wheel speeds.
Information Notice
CAN-D: Controller Area Network Decoder (UT-B ID 202004299) and Universally Applicable Signal-Based Controller Area Network (CAN) Intrusion Detection System (UT-B ID 202004640)
Technologies directed to dilute combustion control using spiking neural networks is described.