Abstract: An energy storage system comprises an energy storage node that includes a plurality of battery storage elements and a control subsystem to receive battery data from the battery storage elements. The energy storage system further includes a power conversion system (PCS) and a control system coupled to the energy storage node and the PCS. The control system, the control subsystem, or both are configured to: receive or store battery charge and discharge characteristics of the battery storage elements during a plurality of operating conditions of the battery storage elements, the PCS, or both; and run the battery storage elements of the energy storage node at one or more selected operating conditions of the plurality of operating conditions based on the battery charge and discharge characteristics to reduce an imbalance in state of charge among the battery storage elements of the energy storage node.

Abstract: A system includes a plurality of energy storage nodes and a control system. The energy storage nodes include a battery storage element, a power conversion subsystem, and a control subsystem to receive battery data. The control subsystem or the control system is configured to determine at least one battery condition about one or more of the energy storage nodes from the battery data. The control system is configured to create one or more limits, restrictions, or preferences on operation of the one or more energy storage nodes based on: (1) the at least one battery condition; and (2) a required power flow or an overall operating intent. The control system is configured to dispatch the required power flow or the overall operating intent across the plurality of energy storage nodes based on the one or more limits, restrictions, or preferences on operation.

Abstract: A system includes a plurality of energy storage nodes and a control system to measure and record data of at least one component of interest within the system and determine an implementation of at least one of a battery balancing or calibration protocol of the control system for the component of interest. The implementation of the protocol is based on a predetermined value of at least one of measured raw data, a time interval, or an amount of energy throughput for the component of interest. When a determination for a calibration or balancing is made, an operation state of the component of interest is switched to a state to implement the calibration or balancing, respectively, and the state of charge is calibrated to a desired level or balanced to a desired state for the component of interest.

Abstract: A smart skid support structure system includes a smart skid frame having at least one electrical connection access arranged within at least one of a pair of opposing ends, a top surface having a plurality of location features and a connection port arranged in the top surface, a bottom surface, a pair of opposing sides, a pair of opposing ends, a plurality of bays arranged within the smart skid frame, and a system cabling arranged within the smart skid frame. The smart skid support structure system further includes a plurality of electrical components arranged within the smart skid frame with at least one of the plurality of electrical components being arranged within at least one of the plurality of bays and at least one pod is configured for attachment to the smart skid support structure system.

Abstract: A battery energy storage system (BESS) node or “pod” that is configured for connection to a “smart skid” support structure, which is arranged adjacent to the BESS pod. The BESS pod includes a bottom surface, and a top portion arranged adjacent to the bottom surface. At least one battery rack is arranged within each pod and configured to hold a plurality of battery modules. The bottom surface of the pod includes a plurality of locating protrusions adjacent to the bottom surface of the pod, and a connection interface arranged adjacent to the bottom surface of the pod. The plurality of locating protrusions includes a plurality of locating protrusions each of which are arranged to align respectively with one of a plurality of locating pockets arranged in the “smart skid” support structure to locate the BESS pod with respect to the “smart skid” support structure.

Abstract: An energy storage system a plurality of energy storage nodes. Each of the plurality of energy storage nodes include a plurality of battery storage elements. The energy storage system further includes a power conversion system (PCS); a control system coupled to the plurality of energy storage nodes and the PCS; and a plurality of sensors coupled to the control system to detect or monitor various system data. The system data includes PCS data from the PCS. The control system is configured to measure the PCS data including current and voltage on both input and output sides of the PCS. The control system is further configured to apply one or more PCS diagnostics models trained to determine behavioral characteristics of at least one component of the PCS based on the measured current and voltage and one or more behavioral patterns previously associated with abnormally behaving components of the PCS.

Abstract: A system includes a plurality of energy storage nodes including a plurality of battery modules, and a control system. At least one processor of the control system is configured to: obtain an initial battery capacity and an initial state of charge for at least one battery module; control at least one sensor to measure and record electrical current flow between multiple components to provide raw data for electrical current within the system for a predetermined period of time; determine a present state of charge of the battery over an elapsed time; determine an integrated current value based on the measured raw data; determine a remaining capacity of the at least one battery module at an end of the elapsed time; and determine an estimated state of health of the at least one battery module based upon the initial battery capacity and the determined remaining capacity including the integrated current value.

Abstract: A modular battery energy storage system (BESS) includes a cable skid system and a BESS node configured for attachment to the cable skid system. The cable skid system includes cable skid system cabling, a BESS mounting frame, and an electrical connection. The BESS node includes BESS node cabling that is configured for connection to the cable skid cabling of the cable skid system. The electrical connection is configured for connecting the BESS node cabling with the cable skid cabling. The cable skid system further includes a plurality of locating feature protrusions, and a plurality of locating feature receptacles. Each of the plurality of locating feature protrusions is arranged at a corner portion of the cable skid system, and each of the locating feature receptacles is arranged at a respective corner portion of the cable skid system.

Abstract: A computer-implemented method and computer program product for predicting a required committed capacity of an electric utility are provided. The method includes the steps of: (a) performing a stochastic optimization of raw data to produce a total committed capacity from conventional thermal units as a target data, wherein the raw data comprises grid operating conditions; (b) combining the total committed capacity from conventional thermal units with raw features and engineered features to generate training data; (c) training a machine learning model for predicting the required committed capacity of the electric utility using the generated training data; (d) predicting the required committed capacity of the electric utility using the trained machine learning model; and (e) running an augmented version of a deterministic dispatch optimization model based on the predicted required committed capacity of the electric utility. The computer program performs the aforementioned steps.

Abstract: A system includes a plurality of energy storage nodes, a power conversion system (PCS), a plurality of sensors to detector or monitor system data that includes component data from or about one or more components of the energy storage system, and a control and management system. Each of the energy storage nodes include a battery storage element. The component data includes battery data, PCS data, or a combination thereof. Control and management system is configured to receive or store the system data; apply analytical models to system data to predict or identify an atypical condition relating to a weakness, damage, or a changed condition in the one or more components of the energy storage system; and responsive to the atypical condition, optimize a maintenance plan for the energy storage system. Components of the energy storage system can include a battery storage element, a power conversion system, or a transformer.

Abstract: A system includes an energy storage system including a plurality of energy storage nodes, each of which includes a battery storage element, a memory, a processor coupled to the memory and the plurality of energy storage nodes, and programming in the memory. Execution of the programming by the processor characterizes blocks of historical operating data from the energy storage nodes, creates summary parameters for the blocks of historical operating data, evaluates each of the summary parameters against selection criteria, and feeds selected operating data as suitable input data to a diagnostic analysis protocol for the energy storage system based on the evaluation of the summary parameters against the selection criteria.

Abstract: An energy storage system includes a plurality of energy storage nodes, each of which includes an energy storage element, at least one cold plate, and a coolant manifold coupled to the at least one cold plate. The coolant manifold splits coolant flow in a bi-directional type configuration at a front and in an interior of the cold plate. A method for assembling an energy storage cooling system is also provided.

Abstract: An energy storage system includes an array controller configured to dispatch a required power flow across a first set of battery cores of a plurality of battery cores to operate the first set of battery cores in an online mode. The array controller is configured to instruct at least one power conversion system (PCS) of a second set of battery cores to operate in a standby mode to conserve auxiliary energy. The standby mode causes disabling of HVAC equipment of the at least one PCS of the second set of battery cores; and energizing and connecting an AC bus, a DC bus, or both but not running a power conversion unit of the second set of battery cores. The array controller is further configured to monitor environmental condition data of at least one PCS of the plurality of battery cores operating in the standby mode or the online mode.

Abstract: An energy storage node of a system and method for handling transportation force loads includes a plurality of battery racks. Each battery rack includes a plurality of rack slots to support a battery string, at least one pair of back cross bars arranged at a rear of the rack slots to reduce a bowing outward force along a width of the battery racks, at least one pair of side cross bars to reduce a bowing outward force along a depth of the battery racks, a plurality of hollow vertical bars, at least one front connector plate arranged at a front of the battery racks to connect at least two of the hollow vertical bars, and at least one back connector plate arranged at a rear of the battery racks to connect the plurality of battery racks to a rear set of the pair of back cross bars.

Abstract: A power plant having a plurality of DC battery energy storage system (BESS) modules is disclosed, with each BESS module having a dually attached node (DAN); a plant controller; and a communication network. The communication network is linked between the plurality of BESS modules and the plant controller. The communication network includes a redundant local area network (LAN) arranged with a first LAN and a second LAN. The DAN of each of the plurality of BESS modules is in communication with the plant controller via the first LAN and via the second LAN. The communication network executes a parallel redundancy protocol (PRP) to effect communication between the plant controller and the plurality of BESS modules via the first and second LANs and the DAN.

Abstract: An energy storage system includes a plurality of energy storage nodes, each of which includes a battery storage element, a plurality of DC-DC converters connected in parallel, each of which is connected to a corresponding one of the energy storage nodes, and a controller coupled to the plurality of DC-DC converters and configured to execute a power balancing protocol. The power balancing protocol includes collecting and recording electrical data from each of the DC-DC converters, calculating an average power output for the DC-DC converters based on the electrical data, calculating a required change in a no-load voltage value for each of the DC-DC converters, and updating the no-load voltage value for each of the DC-DC converters based on the calculated required change in the no-load voltage value for each of the DC-DC converters. A method for executing a power balancing protocol is also provided.

Abstract: A battery thermal event management system includes an enclosure to store a plurality of battery modules, one or more ventilation panels, at least one actuator to open the one or more ventilation panels, and at least one sensor to detect one or more parameters. Further, the battery thermal event management system includes a detection system with a processor memory, and programming in the memory, coupled to the enclosure. The programming causes the battery thermal event management system to detect, via the at least one sensor, the one or more parameters. Next, the battery thermal event management system determines whether the detected one or more parameters indicate a ventilating event. Further, based on the detected one or more parameters indicating the ventilating event, the battery thermal event management system opens, via the at least one actuator, the one or more ventilation panels.

Abstract: An energy storage enclosure includes a battery pack, a plurality of battery modules disposed within the battery pack. Each of the plurality of battery modules includes a battery module enclosure, a plurality of battery submodules disposed the battery module enclosure, a plurality of mid-beams disposed within the battery module enclosure, and a plurality of thermal isolation layers disposed within the battery module enclosure. Each of the plurality of battery submodules includes a pair of opposing end plates, and a plurality of battery cells disposed between the pair of opposing end plates. Each of the plurality of mid-beams is disposed between adjacent battery submodules. At least one of the plurality of thermal isolation layers is disposed adjacent to one of the plurality of mid-beams, and at least another of the plurality of thermal isolation layers is disposed adjacent to an internal surface of the battery module enclosure.

Abstract: Systems and methods are disclosed for managing capacity of an energy storage system. In one implementation, a system includes at least one node configured to generate energy data; at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to: extract, using a data storage module, the energy data from the at least one node; ingest, using a data aggregation module, first data from the data storage module; estimate, using a capacity estimation module, a capacity of the at least one node by: importing second data from the data aggregation module; determining at least one input and at least one output configured to modulate a capacity determination; and determining the capacity of the at least one node based on the calculated at least one input and at least one output; and implement a corrective action for the energy storage system based on the estimated capacity.

Abstract: An energy storage system includes a plurality of energy storage nodes, each of which includes a battery storage element, and a plurality of helical piles for coupling the plurality of energy storage nodes to a solid substratum. Two adjacent energy storage nodes share a single helical pile or a fixed number of the plurality of helical piles is determined by site soil and seismic conditions. A method for attaching an energy storage system to a solid substratum is also provided.