Abstract: A state of balance tool for an energy storage system (ESS) includes a processor and memory on which is recorded instructions. Execution of the instructions by the processor causes the tool to receive raw sensor data from a sensor suite, identify a threshold SoC imbalance in the ESS using the raw sensor data, and identify an element location in the ESS of a corresponding battery element having the imbalance. A control action is executed in response to the imbalance by transmitting an electronic signal indicative of the element location. A method for use with the ESS includes receiving the raw sensor data from the sensor suite, identifying the threshold SoC imbalance via a processor using the raw sensor data, identifying an element location of a corresponding node having the threshold imbalance, and executing a control action via the processor in response to the imbalance.

Abstract: A single direct current block enclosure power distribution to multi-inverter systems includes coupling, serially, a plurality of first battery modules to form a first battery pack where a first switch control is coupled to the first battery pack. A second battery pack includes a plurality of serially coupled second battery modules and a second switch control coupled to the second battery pack. Based on an amount of energy mismatch between the second battery pack and either the first power conversion module or the second power conversion module a determination is made as to when to couple the second switch control to a first power conversion module or to a second power conversion module.

Abstract: Methods, systems, apparatuses, and non-transitory computer-readable media are provided for optimizing energy dispatch. In one implementation, the computer-readable media includes instructions to cause a processor to: generate a plurality of energy dispatch patterns for utilizing one or more energy storage units; generate, based on data determined for each energy dispatch pattern of the plurality of energy dispatch patterns, a recommended energy dispatch pattern; and adjust the one or more energy storage units to dispatch electricity according to the recommended energy dispatch pattern.

Abstract: A loading/unloading system for an energy storage system enclosure includes: a skate channel weldment having a U-shape, a pair of guide wheels arranged at a rear end of the skate channel weldment, a plurality of jack mounts arranged adjacent to a top side of the skate channel weldment, a plurality of hydraulic jacks arranged within the plurality of jack mounts, a plurality of skate assemblies arranged adjacent to a bottom side of the skate channel weldment, and a plurality of jack lugs each of which includes a jack resting portion, and an enclosure attachment portion. The plurality of hydraulic jacks moveable from a retracted position to an extended position via a hydraulic pump, to raise and lower the energy storage system enclosure for loading/unloading to/from a standard shipping container.

Abstract: A power oscillation damping controller includes a control block including one or more circuits configured to receive a meter input and transmit a controller output. The meter input includes an active power sub-controller measured value including an evident oscillation component of a power oscillation, a reactive power sub-controller measured value including an alternative oscillation component of the power oscillation, or a combination thereof. The controller output includes an active power component adjustment based on the active power sub-controller measured value that configures or results in an evident dampening of the power oscillation, a reactive power component adjustment based on the reactive power sub-controller measured value that configures or results in an alternative dampening of the power oscillation, or a combination thereof.

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 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: 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: 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.