Abstract: A lithium metal battery cell has an electrolyte and an anode comprising an anode current collector and a thin film metal layer formed on the anode current collector, the thin film metal layer consisting of a metal that forms a solid solution with lithium metal. The thin film metal layer is configured to promote dense lithium deposition between the thin film metal layer and the electrolyte during charging.

Abstract: A lithium metal battery cell has an electrolyte and an anode comprising an anode current collector and a composite interlayer formed on the anode current collector between the anode current collector and the electrolyte. The composite interlayer consists of conductive carbon and a metal additive, the composite interlayer configured to promote dense lithium deposition in the anode during charging. The metal additive in the composite interlayer is a metal that forms a solid solution with lithium metal.

Abstract: An all-solid-state battery comprises a lithium anode, a cathode, solid electrolyte and a protective layer between the solid electrolyte and the lithium anode. The protective layer comprises an ion-conducting material having an electrochemical stability window against lithium of at least 1.0 V, a lowest electrochemical stability being 0.0 V and a highest electrochemical stability being greater than 1.0 V. More particularly, when the solid electrolyte is LiSiCON, the electrochemical stability window is at least 1.5 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 1.5 V. When the solid electrolyte is sulfide-based, the electrochemical stability window is at least 2.0 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 2.0 V.

Abstract: A method of manufacturing an all-solid-state battery cell includes depositing an interlayer directly onto an anode current collector; depositing a solid electrolyte onto the interlayer opposite the anode current collector; forming a cathode on the solid electrolyte opposite the interlayer, wherein the cathode contains one or more lithium-containing compounds; and applying pressure to achieve uniform contact between layers. The manufactured all-solid-state battery cell is anode-free prior to charging. The interlayer is configured such that lithium metal is deposited between the interlayer and the anode current collector during charging, the interlayer prevents contact between the lithium metal and the solid electrolyte, and the interlayer has a greater density than a density of the solid electrolyte.

Abstract: A computing framework for addressing a variety of vehicle conditions includes receiving, from a first set of sensors by an edge compute node, first transportation network data associated with a transportation network region, receiving, from a second set of sensors by a cloud computing node, second transportation network data associated multiple transportation network regions, providing, by the edge compute node to one or more autonomous vehicles at the transportation network region, real-time transportation network region information based on at least the first transportation network data to facilitate control decisions by the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transportation network region information based on at least the second transportation network data to facilitate the control decisions by the at least one or more autonomous vehicles.

Abstract: A lithium battery comprises cathode active material comprising particles of a transition metal oxide, each particle coated in an ion-conducting material that has an electrochemical stability window against lithium of at least 2.2 V, a lowest electrochemical stability being less than 2.0 V and a highest electrochemical stability being greater than 4.

Abstract: A lithium battery has a composite cathode comprising cathode active material including a transition metal oxide and an ion-conducting material having an electrochemical stability window against lithium of at least 2.2 V, a lowest electrochemical stability being less than 2.0 V and a highest electrochemical stability being greater than 4.2 V, the ion-conducting material selected from one or more of: Cs2LiCl3; Cs3Li2Cl5; Cs3LiCl4; CsLiCl2; Li2B3O4F3; Li3AlF6; Li3ScCl6; Li3ScF6; Li3YF6; Li9Mg3P4O16F3; LiBF4; LiThF5; Na3Li3Al2F12; and NaLi2AlF6.

Abstract: A lithium battery comprises cathode active material comprising particles of a transition metal oxide, each particle coated in an ion-conducting material that has an electrochemical stability window against lithium of at least 2.2 V, a lowest electrochemical stability being less than 2.0 V and a highest electrochemical stability being greater than 4.

Abstract: An all-solid-state battery comprises a lithium anode, a cathode, solid electrolyte and a protective layer between the solid electrolyte and the lithium anode. The protective layer comprises an ion-conducting material having an electrochemical stability window against lithium of at least 1.0 V, a lowest electrochemical stability being 0.0 V and a highest electrochemical stability being greater than 1.0 V. More particularly, when the solid electrolyte is LiSiCON, the electrochemical stability window is at least 1.5 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 1.5 V. When the solid electrolyte is sulfide-based, the electrochemical stability window is at least 2.0 V, the lowest electrochemical stability is 0.0 V and the highest electrochemical stability is greater than 2.0 V.

Abstract: Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.

Abstract: A remote system for an autonomous vehicle, includes a receiver, a controller, and a display device. The receiver is configured to receive road information. The controller is programmed to receive input related to the road information and create a supervision zone when the road information impacts road drivability. The display device is disposed at a control center area and configured to display a visual indication on a map of the supervision zone.

Abstract: Methods and systems for remote support of autonomous operation of vehicles have been disclosed. State indicators are generated by a first state display based on state data from a portion of vehicles assigned to a respective first level control station. A second state display is generated for a second control station and displays state indicators for the state data of the vehicles. A remote support interface including the first state display and image data received from a first vehicle of the vehicles is generated. Instruction data to the first vehicle is transmitted using the remote support interface and based on an indication that the first vehicle needs remote support, the instruction data modifying the autonomous operation of the first vehicle. A workload between the first level control stations is allocated by assigning the vehicles using the state indicators of the second state display.

Abstract: Methods and systems for providing remote support and negotiating problem situations of autonomous operation of vehicles based on signal states and vehicle information are described. A system comprises a memory and a processor configured to execute instructions stored in the memory to: assign vehicles to support queues based on state data, generate a map display including locations of the vehicles, and generate a state display including the support queues, vehicle manager indicators corresponding to the support queues and state indicators corresponding to the state data.

Abstract: An autonomous vehicle service system having a display device, a receiver, and a controller. The receiver is configured to receive transmitted data from an autonomous vehicle related to status of the autonomous vehicle and information from a third party related to road conditions. The controller is programmed to monitor the transmitted data related to the status of the autonomous vehicle and the road conditions, determine when the autonomous vehicle requires assistance based on the transmitted data, and, when the autonomous vehicle requires assistance, cause information related to the autonomous vehicle to be displayed on the display device.

Abstract: An autonomous vehicle service system having a display device, a receiver, and a controller. The receiver is remote from an autonomous vehicle and configured to receive transmitted data from a third party and the autonomous vehicle. The controller is configured to monitor the transmitted data related to the status of the autonomous vehicle, and cause information related to the autonomous vehicle to be displayed on the display device, the controller further configured to enable the autonomous vehicle service system to be accessed by the third party so as to be capable of forming and updating a supervision zone to restrict access to an area by the autonomous vehicle.

Abstract: According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with a route and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure data to an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.

Abstract: Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous In vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.

Abstract: A method for screening materials may include obtaining materials from a database. The method may include screening the materials to obtain a one or more screened materials. The method may include generating a training set based on the screened materials, validated experimental data, or both. The method may include establishing a machine learning screening model based on the training set, one or more target parameters, or both. The method may include applying the machine learning screening model to uncharacterized materials. The method may include outputting one or more materials having characteristics matching the target parameters.

Abstract: Methods and systems for generating a solution path overlay interface to transmit a solution path are described. A method comprises receiving data from a vehicle control system of a vehicle, the data including a movement path for each of a plurality of external objects; generating a solution path overlay interface that includes an indicator for the vehicle, an indicator for one or more of the plurality of external objects and an indicator for a solution path; in response to detecting a change associated with a movement path of the one or more of the plurality of external objects, receiving a command from an operator of the solution path overlay interface, the command including an indication of one or more stop points; updating the solution path overlay interface based on the command to provide an updated solution path; and transmitting the updated solution path to the vehicle for execution.

Abstract: Methods, apparatuses, systems, and non-transitory computer readable storage media for generating solution data for autonomous vehicles to negotiate problem situations have been disclosed. The disclosed technology generates state data associated with a vehicle using sensor data received from the vehicle and from external objects within a vicinity of the vehicle. The state data includes any of a location of the vehicle, a destination of the vehicle, an operational status of the vehicle, and information associated with a vehicle environment. In response to determining that the state data satisfies a state criterion, a determination of solution profile data that matches the state data is made on the basis of a comparison of the state data to the solution profile data. Solution data is generated using the matching solution profile data to transmit the solution data to the vehicle for execution.