Gm Cruise Holdings LLC

Chase Brian Kaufman

Jeffrey Brandon

Erik Birk Nielsen

Michael Frank Schmidt

Kenneth Ramon Ferguson

Samuel Harrison Glidden

Adam Mandel-Senft

Brett Lee Rogers

Rajat Basu

Kyle Vogt

Jason Lee

Sriram Salem Kannan

Justin Henry Leder

Erik Nielsen

An electric vehicle (EV) is charged according to a selected charging rate. An available dispatch time is determined based on a current charge level of a battery of the EV, a first charging rate, and a target charge level. An anticipated dispatch time is determined based on predicted demand for a fleet of EVs that includes the EV. If the available dispatch time is later than the anticipated dispatch time, the first charging rate is selected; if the available dispatch time is earlier than the anticipated dispatch time, a second charging rate that is lower than the first charging rate is selected. The second charging rate may be a rate that charges the battery of the EV to at least the target charge level in time for the anticipated dispatch time.

Dispatch-based charging for electric vehicle fleet

The present technology is effective to cause at least one processor to instruct an autonomous vehicle to navigate a specific course and to record diagnostic measurements while navigating the specific course, receive the diagnostic measurements from the autonomous vehicle, and analyze the diagnostic measurements from the autonomous vehicle in a context provided by a collection of diagnostic measurement data collected from a fleet of similar autonomous vehicles navigating the specific course.

Automatic testing of autonomous vehicles

A light inspection system positions an autonomous vehicle (AV) in a field of view of a camera such that the camera captures an image of a light of the AV. The light inspection system instructs a camera to capture an image of the light while the light is switched on. The light inspection system receives the captured image, determines a luminance of the light based on the image, and determines to service the light in response to the luminance of the light being below a threshold luminance.

Automated inspection of autonomous vehicle lights

The present technology is effective to cause at least one processor to collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor, identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident, send the sensor data to a remote computing system, and receive, in response to the sending of the sensor data that is indicative of the impact incident, routing instructions from the remote computing system.

System and method for detecting severe road events

The present disclosure provides a method including determining an operational mode of a vehicle based on data accumulated from at least one vehicle information system associated with the vehicle; selecting one of a plurality of power consumption profiles for the vehicle based on the determined operational mode; and applying the selected one of the power consumption profiles to the vehicle.

Power moding for reduction of vehicle power consumption

A system for powering an electric vehicle (EV) includes a battery, a power distribution module, and a battery bypass module. The power distribution module receives power from a charging station, draws power from the battery in a discharging mode, distributes power from the charging station to the battery in a charging mode, and distributes power to a plurality of subsystems of the EV. The battery bypass module is coupled to the battery and the power distribution module. When the battery bypass module is engaged in a charging bypass mode, power distributed by the power distribution module bypasses the battery and is distributed to at least a subset of the plurality of subsystems of the EV.

High voltage battery bypass for electric vehicle fleet

Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.

System and method for malodor detection and remediation

A system for mitigating thermal runaway in a battery-powered electric vehicle (EV). The system includes a gas sensor configured to measure a level of at least one type of gas in a vicinity of a battery of the EV, a thermal event detector configured to determine, based on the measured level of the at least one type of gas, that the battery is experiencing out-gassing, and a communications interface configured to transmit an alert to a fleet management system regarding the out-gassing of the battery. The fleet management system alters an assignment of the EV in response to the out-gassing of the battery.

Thermal runaway detection and mitigation for electric vehicles

A vehicle having at least one vehicle access secured by a first lock and at least one secure area secured by a second lock. The vehicle may also have a receiver configured to receive a command from a remote computing system to unlock the vehicle access or the secure area.

Secure layered autonomous vehicle access

Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Growing community of inventors

Fountain Hills, AZ, United States of America

Chase Brian Kaufman