Abstract: Aspects of the disclosure relate to a configurable battery pack. The configurable battery pack may include an enclosure that is formed from housing structures that can be selectively chosen to form an enclosure of various sizes, for enclosing various numbers of battery modules and/or battery cells.

Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.

Abstract: An apparatus can include a plate that can couple with a non-conductive header of a battery pack. The plate can form a conductive path between the header and the battery pack.

Abstract: A system can include a battery subassembly having a flange. The flange can engage a first cross member and a second cross member of a battery pack using a fastener to clamp the battery subassembly with the first cross member and the second cross member.

Abstract: Aspects of the disclosure relate to an enclosure for a battery pack. The enclosure may include one or more casted portions, such as a casted front member and a casted rear member. The casted portions may provide benefits including reducing a number of seal paths on the enclosure, facilitating serviceability of various electrical components from a bottom of the battery pack, reducing a number of parts of the enclosure, facilitating efficient battery pack assembly, facilitating connector placement for ergonomics and/or damage protection, facilitating placement of vents, providing casted in lid, lung, and/or skid plate attachments, and/or improving strike reinforcement features.

Abstract: An apparatus can include a body. The body can include a top portion and a base. The top portion can define a cavity. The cavity can be configured to receive a component. The apparatus can include a spring element that extends from at least one of the top portion and the base of the body. The spring element can be disposed at least partially around the cavity. The spring element can be configured to bias the component to an initial position and facilitate movement of the component when a load is applied to the component.

Abstract: Systems and methods for meter-to-transformer connectivity. The system can include a data processing system comprising one or more processors coupled with memory. The data processing system can receive a time-series data set of voltage measured by meters at a plurality of loads in an electricity distribution grid. The data processing system can construct, based on the time-series data set, a matrix with values that indicate similarities between pairs of meters of the meters. The data processing system can generate, via clustering techniques applied to the matrix, a silhouette score for each of the meters in the matrix to group the meters into transformer groups. The data processing system can provide, for output via a graphical user interface, a digital map with an indication of a subset of meters of the meters associated with a transformer of the transformer groups generated based on the clustering techniques applied to the matrix.

Abstract: Systems and methods for a smart grid distributed operations platform. The system can include a data processing system comprising one or more processors, coupled with memory. The data processing system can identify a network connection with edge devices located on an electricity distribution grid, wherein each of the edge devices comprise a processor and memory. The data processing system can identify, based on a configuration associated with the edge devices, an application configured to perform a function to manage delivery of electricity via the electricity distribution grid. The data processing system can select a model from models trained with machine learning based on a local environment attribute associated with a location on the electricity distribution grid at which the edge devices are located. The data processing system can provide, for execution on the edge devices, the application configured with the model to perform the function to manage delivery of electricity.

Abstract: The present disclosure relates to a system. The system can include a first fitting that can couple with a portion of a first fluid line. The first fluid line can be at least partially internal to a battery pack. The system can include a second fitting that can couple with a portion of a second fluid line. The second fluid line can be at least partially external to the battery pack. The first fitting can include a tab that can couple the first fitting with a portion of the battery pack. The first fitting can couple with the second fitting to fluidly couple the first fluid line with the second fluid line.

Abstract: An apparatus that can define at least one compartment in a battery pack to receive a battery module is disclosed. The apparatus can include a first member that extends from the first side of the battery pack to the second side of the battery pack. The apparatus can include a second member and a third member that together run cross car and extend from the first side to the second side of the battery pack, except with a gap between the second member and the third member.

Abstract: A power distribution device with an electric component is provided. The device can include a busbar. The device can include a thermal component coupled to the busbar to dissipate heat generated at the busbar. The device can include a material molded over at least a portion of the thermal component to electrically isolate at least the portion of the thermal component from the busbar.

Abstract: Grounding a component, such as a thermal management system, of a battery pack via a coolant is provided. An apparatus can include a body forming a channel to convey coolant within a battery pack. The apparatus can include a conductor electrically coupled to a ground. The conductor can include a lead into the channel to ground the coolant.

Abstract: An apparatus can include a body. The body can include a top portion and a base. The top portion can define a cavity. The cavity can be configured to receive a component. The apparatus can include a spring element that extends from at least one of the top portion and the base of the body. The spring element can be disposed at least partially around the cavity. The spring element can be configured to bias the component to an initial position and facilitate movement of the component when a load is applied to the component.

Abstract: An apparatus can include a member a member to extend between a first structural member and a second structural member. The apparatus can include at least one connection point integrated with the member. The at least one connection point can be configured to facilitate a fluid coupling between a cooling line and a cooling component. The apparatus can include at least one end portion of the member. The at least one end portion can be configured to interface with a seat of at least one of the first structural member and the second structural member.

Abstract: The apparatus can include a member and an end portion. The end portion can be disposed at an end of the member. The end portion can include a first opening and a second opening. The first opening can be configured to expose a portion of a first busbar. The second opening can be configured to expose a portion of a second busbar. The first busbar can be configured to couple with the second busbar.

Abstract: An apparatus can include a housing, a first contactor portion, a heat sink, and a second contactor portion. The first contactor portion can be coupled with the housing. The heat sink can be coupled with the housing. The second contactor portion can contact the first contactor portion in a first position. The second contact or portion can thermally couple with a heatsink in a second position.

Abstract: The apparatus can include a first member defining a first channel. The apparatus can include a second member defining a second channel. The first member can be configured to interface with a first side of a battery cell and the second member can be configured to interface with a second side of the battery cell.

Abstract: The present disclosure is directed to an apparatus. The apparatus can include a housing having a compression limiter. The apparatus can include a cutting fastener coupled with a portion of the compression limiter. The apparatus can include an over-molded conductive material that can couple with a portion of the housing to form a conductive path between the compression limiter and the cutting fastener.

Abstract: The present disclosure is directed to an apparatus. The apparatus can include a first fitting having a first mating portion and a second fitting having a second mating portion. The first fitting can couple with a portion of a first fluid line. The first fluid line can be at least partially internal to a battery pack. The second fitting can couple with a portion of a second fluid line. The second fluid line can be at least partially external to the battery pack. The second mating portion of the second fitting can engage with the first mating portion of the first fitting to fluidly couple the first fluid line with the second fluid line.

Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance obj ective.