GM Cruise Holdings LLC (20240326645). SYSTEMS AND TECHNIQUES FOR DISPATCHING AUTONOMOUS VEHICLES TO AUTONOMOUS VEHICLE MAINTENANCE FACILITIES simplified abstract

SYSTEMS AND TECHNIQUES FOR DISPATCHING AUTONOMOUS VEHICLES TO AUTONOMOUS VEHICLE MAINTENANCE FACILITIES

Organization Name

GM Cruise Holdings LLC

Inventor(s)

Alexander Case of San Francisco CA (US)

Michael Rusignola of Burlingame CA (US)

Hakan Tunc of Seattle WA (US)

Jun Zhou of San Francisco CA (US)

Yufeng Liu of Moraga CA (US)

Thomas Kielbus of San Francisco CA (US)

Armin Mahmoudi of Los Gatos CA (US)

SYSTEMS AND TECHNIQUES FOR DISPATCHING AUTONOMOUS VEHICLES TO AUTONOMOUS VEHICLE MAINTENANCE FACILITIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240326645 titled 'SYSTEMS AND TECHNIQUES FOR DISPATCHING AUTONOMOUS VEHICLES TO AUTONOMOUS VEHICLE MAINTENANCE FACILITIES

The abstract describes a system for dispatching autonomous vehicles to maintenance facilities based on location data, battery data, and energy usage predictions.

• Receives location and battery data from multiple autonomous vehicles.
• Determines predicted energy usage for routing vehicles to waypoints and maintenance facilities.
• Projects battery charge state for each vehicle based on energy usage and battery data.
• Sends routing instructions to vehicles based on projected battery charge state.

Potential Applications: - Fleet management for autonomous vehicles. - Optimizing maintenance schedules for efficient operations.

Problems Solved: - Efficiently dispatching autonomous vehicles for maintenance. - Maximizing battery life and performance.

Benefits: - Reducing downtime for maintenance. - Extending battery life and optimizing energy usage.

Commercial Applications: Title: Autonomous Vehicle Fleet Management System Description: This technology can be used by companies operating autonomous vehicle fleets to streamline maintenance processes and improve overall efficiency.

Questions about Autonomous Vehicle Maintenance Dispatch System: 1. How does this system optimize energy usage for autonomous vehicles? 2. What are the key factors considered when determining the projected battery charge state for each vehicle?

Frequently Updated Research: Stay updated on advancements in autonomous vehicle fleet management systems to ensure optimal performance and efficiency in operations.

Original Abstract Submitted

systems and techniques are provided for dispatching autonomous vehicles to maintenance facilities. an example process can include receiving, from a plurality of autonomous vehicles (avs), av location data and av battery data; determining, based on the av location data and av dispatch information, a first predicted energy usage for routing each of the plurality of avs to one or more waypoints; determining, based on av maintenance facility location data, a second predicted energy usage for routing each of the plurality of avs to one or more av maintenance facilities; determining, based on the first predicted energy usage, the second predicted energy usage, and the av battery data, a projected battery charge state for each of the plurality of avs; and sending routing instructions to one or more of the plurality of avs that are based on the projected battery charge state.