Abstract: A system for managing heat in a mobile charger configured to provide power to an electric vehicle includes the mobile charger. The mobile charger includes a fuel cell stack, a heat reservoir, and a liquid coolant system including one or more liquid coolant loops configured to transfer heat between the fuel cell stack and the heat reservoir. The mobile charger further includes a computerized processor which is programmed to selectively control the liquid coolant system in one of a plurality of a thermal management modes configured to selectively remove heat from the fuel cell stack and provide heat to the fuel cell stack.

Abstract: Presented are electrochemical devices with copper-free electrodes, methods for making/using such devices, and lithium alloy-based electrode tabs and current collectors for rechargeable lithium-class battery cells. A method of manufacturing copper-free electrodes includes feeding an aluminum workpiece, such as a strip of aluminum sheet metal, into a masking device. The masking device then applies a series of dielectric masks, such as strips of epoxy resin or dielectric tape, onto discrete areas of the workpiece to form a masked aluminum workpiece with masked areas interleaved with unmasked areas. The masked workpiece is then fed into an electrolytic anodizing solution, such as sulfuric acid, to form an anodized aluminum workpiece with anodized surface sections on the unmasked areas interleaved with un-anodized surface sections underneath the dielectric masks of the masked areas.

Abstract: In an embodiment, a metal-organic framework electrolyte layer, can comprise a plurality of metal-organic frameworks having a porous structure and comprising a solvated salt absorbed in the porous structure; and a polymer. The MOF electrolyte layer can have at least one of a density of less than or equal to 0.3 g/cm3 or a Brunauer-Emmett-Teller surface area of 500 to 4,000 m2/g. A lithium metal battery can comprise the metal-organic framework electrolyte layer.

Abstract: The subject disclosure relates to techniques for providing destination recommendations and improving the user experience of autonomous vehicle riders using sentiment analysis. In some aspects, a process of the disclosed technology includes steps for receiving a ride request, at a computing system of an autonomous vehicle (AV), wherein the ride request comprises trip information that specifies a pick-up location associated with a user, navigating the AV to the pick-up location to provide ride service for the user, receiving in-cabin sensor data associated with the user, and analyzing the in-cabin sensor data to determine a sentiment score associated with the user. In some aspects, the process can further include steps for generating a destination recommendation based on the trip information and the sentiment score. Systems and computer-readable media are also provided.

Abstract: A combustion mode module is configured to switch operation of a low-temperature combustion (LTC) engine between a spark ignition (SI) mode, a positive valve overlap (PVO) mode, and a negative valve overlap (NVO) mode. A spark control module is configured to control a spark plug to generate a spark in a cylinder of the LTC engine when the LTC engine is operating in the SI mode. A valve control module is configured to control intake and exhaust valves of the cylinder to yield a PVO and a NVO when the LTC engine is operating in the PVO mode and the NVO mode, respectively. An air/fuel (A/F) control module is configured to adjust a desired A/F ratio of the LTC engine to a rich A/F ratio when operation of the LTC engine is switched to the PVO mode from either one of the SI mode and the NVO mode.

Abstract: A system or method implemented by an autonomous vehicle involves determining a path plan to reach a destination from an origin. The path plan includes two or more path steps indicating tasks to be completed to reach the destination. The method includes, during traversal of the path plan by the autonomous vehicle, evaluating one or more of the two or more path steps of a planning horizon to determine a behavior plan for the planning horizon. The planning horizon is based on a current position of the autonomous vehicle, the behavior plan includes a speed and a trajectory, and the evaluating includes performing a cost analysis using a parallelized tree-based decision scheme at each of two or more simulation intervals within the planning horizon. The evaluating and the determining the behavior plan is repeated at two or more positions of the autonomous vehicle from the origin to the destination.

Abstract: Systems and methods for smoothing automated lane change (ALC) operations. A mission planner, upon receipt of an ALC request, sends a ALC heads up signal to a lateral control. The mission planner then begins confidence building operations, for a preprogrammed duration of time, and awaits an ALC ready signal from the lateral control. The lateral control, upon receipt of the ALC heads up, calculates an index of readiness, RALC, as a function of the requested ALC, a current trajectory, and a lane centering control path. When RALC is less than or equal to a readiness threshold, Rt, the lateral control sends the ALC ready signal. When RALC is greater than Rt, the lateral control generates a steering correction and applies the steering correction to reduce the RALC and thereby stabilize the vehicle and send the ALC ready signal. Upon receiving the ALC ready signal, the ALC operation is executed.

Abstract: Systems and methods for determining a passenger destination given a destination type. In particular, based on one or more conditions, a rideshare application selects one or more destination options for the user, and presents the one or more destination options to the user. The conditions can include user input criteria such as type of destination, pricing, and popularity, and external factors such as time of day and traffic.

Abstract: A map database stores data describing a set of connected roadways, each having one or more lanes. A coverage system selects lanes from the map database along which AVs can stop, such as parking lanes. The coverage system generates buffer regions for each of the stopping lanes, where each buffer region includes an area within a given distance of the respective lane. The coverage system combines the buffer regions to generate a coverage area, and provides a display of the coverage area overlayed over a map of roads corresponding to the coverage area.

Abstract: A vehicle air vent includes a primary vane system pivotal about a horizontal axis to direct an air flow from an outlet of the vehicle air vent in an up/down direction and including a primary vane, a secondary vane system pivotal about a vertical axis to direct an air flow from an outlet of the vehicle air vent in a side-to-side direction and including a secondary vane, and an air flow volume control system including a control knob movable in a fore/aft direction for adjusting the volume of air flow through the air vent.

Abstract: Methods for fabricating Class-A components (CAC) include providing a molding precursor which includes a first and second skin layer each including a fiber reinforcing material embedded in a polymer matrix, a third layer between the first and second skin layers and including a third polymer matrix and a filler material interspersed therein. The fiber reinforcing materials include a plurality of substantially aligned carbon fibers having a plurality of low strength regions staggered with respect to the second axis. The method includes disposing a molding precursor within a die, compression molding the molding precursor in the die, wherein the die includes a punch configured to contact the second skin layer, opening the die to create a gap between the punch and an outer surface of the second skin layer, and injecting a Class-A finish coat precursor into the gap to create a class-A surface layer and form the CAC.

Abstract: Perception data based multipath identification and correction is based on recognition that sensors such as radar, LIDAR, and cameras can generate perception data indicative of locations and properties of terrestrial objects in an environment surrounding a satellite navigation device (e.g., a GNSS receiver), which data may then be used in training, or updating, a model for determining or correcting distances to satellites to account for multipath. Multipath identification includes identifying multipaths to train the model, e.g., by using perception data to perform ray tracing. Multipath correction includes using the model to correct distance errors due to the multipaths or, equivalently, using the model to determine distances to satellites in a manner that accounts for the multipaths.

Abstract: An intersection navigation system includes: a complexity module configured to determine a complexity value for an intersection of two or more roads, where the complexity value for the intersection corresponds to a level of complexity for a vehicle to navigate the intersection during autonomous driving; and a driving control module configured to: during autonomous driving of a vehicle, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration of the vehicle; and based on the complexity value of the intersection, selectively adjust at least one aspect of the autonomous driving.