Kai Wu

Yan Fu

Hyongju Park

Venkatarao Rebba

Dominique Meroux

An electric vehicle charging recommendation system is disclosed. The system comprises a transceiver and a processor. The transceiver is configured to receive a request from a user interface associated with a vehicle user. The request includes one or more of vehicle route information and vehicle State of Charge (SoC) level. The processor is configured to generate a geofence, and obtain real-time operator charging amounts from charging station operators located in the geofence. The processor is further configured to determine that a charging demand in the geofence is less than a predetermined threshold value, and activate a first mode when the charging demand is less than the predetermined threshold value. The processor is further configured to generate a first list of recommended charging stations based on the real-time operator charging amounts responsive to the activation of the first mode, and transmit the first list to the user interface.

Electric vehicle charging recommendation systems and methods

Systems and methods for optimizing transportation efficiency, for example, in the context of energy shortages. Techniques described herein may involve determining a high-price threshold is exceeded, identifying different vehicle types (e.g., high-efficiency vehicles, large battery capacity vehicles, etc.), prioritizing vehicles designated for charging and discharging, respectively, setting vehicle calibrations accordingly, and tracking/reporting performance relative to baselines.

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PITTSBURGH, PA, United States of America

Kai Wu