Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: An electrochemical stack assembly includes a laminated pouch surrounding a frame which encloses solid-state electrochemical cells and electrochemical stacks. In some embodiments, an electrochemical stack assembly includes one or more electrochemical cells, each electrochemical cell comprising a solid-state electrolyte to form at least one electrochemical stack with two major surfaces and four minor surfaces; a frame surrounding the at least one electrochemical stack with space between the frame and each of the four minor surfaces; and a laminated pouch surrounding the frame and the at least one electrochemical stack, the laminated pouch in contact with one or both of the major surfaces. In some embodiments, the frame comprises a tray. In some embodiments, the electrochemical stack assembly comprises two trays, each with an electrochemical stack comprising an electrochemical cell, the cell comprising a solid-state electrolyte.

Abstract: An electrochemical stack assembly includes a laminated pouch surrounding a frame which encloses solid-state electrochemical cells and electrochemical stacks. In some embodiments, an electrochemical stack assembly includes one or more electrochemical cells, each electrochemical cell comprising a solid-state electrolyte to form at least one electrochemical stack with two major surfaces and four minor surfaces; a frame surrounding the at least one electrochemical stack with space between the frame and each of the four minor surfaces; and a laminated pouch surrounding the frame and the at least one electrochemical stack, the laminated pouch in contact with one or both of the major surfaces. In some embodiments, the frame comprises a tray. In some embodiments, the electrochemical stack assembly comprises two trays, each with an electrochemical stack comprising an electrochemical cell, the cell comprising a solid-state electrolyte.

Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.

Abstract: An electrochemical stack assembly includes a laminated pouch surrounding a frame which encloses solid-state electrochemical cells and electrochemical stacks. In some embodiments, an electrochemical stack assembly includes one or more electrochemical cells, each electrochemical cell comprising a solid-state electrolyte to form at least one electrochemical stack with two major surfaces and four minor surfaces; a frame surrounding the at least one electrochemical stack with space between the frame and each of the four minor surfaces; and a laminated pouch surrounding the frame and the at least one electrochemical stack, the laminated pouch in contact with one or both of the major surfaces. In some embodiments, the frame comprises a tray. In some embodiments, the electrochemical stack assembly comprises two trays, each with an electrochemical stack comprising an electrochemical cell, the cell comprising a solid-state electrolyte.

Abstract: Techniques are described for monitoring the degradation of electrochemical cells. A battery monitoring system monitors, for each of one or more cells of a plurality of cells in a battery, an amount of mechanical deformation using one or more measuring devices. The battery monitoring system determines a number of cells of the plurality of one or more monitored cells for which the monitored amount of mechanical deformation exceeds a deformation threshold. The battery monitoring system determines whether the determined number of cells exceeds a threshold number of cells with an amount of mechanical deformation exceeding the deformation threshold. Responsive to determining the determined number of cells exceeds the threshold number of cells, the battery monitoring system sends a notification that the battery is degraded beyond an acceptable limit.

Abstract: A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.

Abstract: A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.

Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: A rechargeable battery kiosk can dynamically alter a charging rate of one or more rechargeable batteries housed within the rechargeable battery kiosk to increase a probability that the rechargeable battery kiosk has an ample supply of fully charged, or mostly fully charged, rechargeable batteries based on an anticipated usage data for the rechargeable battery kiosk.