RENTAL VEHICLE SYSTEM OPTIMIZATION

Techniques are described for optimizing various aspects of rental vehicle systems. According to an embodiment, a system is described for optimizing fleet utilization of a battery electric vehicle (BEV) rental system based on predicted charge levels. The system comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. These computer executable components comprise a charge prediction component that determines forecasted charge levels of BEVs in association with usage of the BEVs in a vehicle sharing operation wherein the BEVs are available for renting for varying durations of time. The computer executable components further comprise a booking component that controls the renting of the BEVs based on the forecasted charge levels.