110 results about "Battery energy storage system" patented technology

This invention provides a method, apparatus, and equipment for capacity optimization configuration of a wind-gas-storage virtual power plant, belonging to the technical field of virtual power plants. The method includes: filtering the load power deviation curve to obtain a first frequency signal and a second frequency signal; calculating the minimum rated capacity of the gas turbine generator set based on the first frequency signal; calculating the minimum rated capacity of the battery energy storage system based on the second frequency signal; calculating the operating cost of the wind-gas-storage virtual power plant based on the power of the gas turbine generator set and the power of the battery energy storage system; constructing an objective function based on the operating cost and the environmental cost of the wind-gas-storage virtual power plant; and solving the objective function using a particle swarm optimization algorithm to obtain the optimized power of the gas turbine generator set and the optimized power of the battery energy storage system. This invention addresses the deficiency in current virtual power plant capacity planning configurations that do not consider the output characteristics of wind power, gas turbines, and energy storage batteries, potentially leading to power instability during peak load periods.

The present application relates to the technical field of power energy storage, and particularly relates to a multi-battery energy storage system SOC equalization control method based on event triggering, aiming at the phenomenon of large calculation and periodic communication overhead in the prior art, and solving the problem of limited SOC equalization control accuracy in a large-scale system. The core of the method is to combine a distributed dynamic equalization control protocol and an event triggering mechanism to realize on-demand communication and power distribution among multiple batteries in the system, and to reduce the communication frequency and calculation complexity of the system. The method is suitable for multi-battery energy storage systems with high efficiency and reliability requirements.

The present invention relates to an arrangement for a cooling system in a battery storage device, comprising: at least two connection ports for coolant lines; a connecting hose with at least two hose ends comprising at least one radially inwardly projecting gas-tight sealing lip and at least one support lip adjacent to the sealing lip in the axial direction, wherein the connecting hose is designed to fluidically connect the connection ports to each other, wherein the support lip has at least one axially through opening.

This application relates to the field of battery technology and discloses an energy storage box and a battery energy storage system having the energy storage box. The energy storage box includes a box frame, multiple covers, and multiple supports. The box frame includes a bottom beam and a top beam. Multiple covers are arranged side-by-side between the bottom beam and the top beam, and the multiple covers cooperate to form the sidewalls of the box. Among the multiple supports arranged at intervals, the first end of each support is fixed to the bottom beam, and the second end of each support is fixed to the top beam. Each support is located between two adjacent covers, and both adjacent covers are fixed to the supports. This application arranges supports between the bottom beam and the top beam. When installing the covers, the supports are first installed and fixed between the bottom beam and the top beam, and then the covers are installed on the supports. The positioning operation of the covers and supports is relatively simple, making the installation of the covers simple, time-saving, and labor-saving.

The invention relates to a method for determining the state of health (SoH) of a battery system (10). The battery system (10) is, in particular, a stationary battery storage system. An analysis of the voltage profile (56) is performed, at least during a discharge phase (44). The following method steps are carried out: a) Discharging the battery system (10) until a predetermined target voltage or a target state of charge of the battery system (10) is reached, b) Measurement of the voltage profiles (56) in the battery system (10) during the discharge phase (44), c) Analysis of a voltage profile (56) of the battery system (10) after reaching a discharge end time SoC_End (50) and d) Determination of the state of health (SoH) and / or a fault state of the battery system (10) based on measured voltage waveforms (56, 70) during the discharge phase (44) or during relaxation phases (62) following the discharge phase (44) and of reference voltage waveforms (52, 54; 72, 74) recorded before commissioning the battery system (10) for differently aged batteries during discharge or, in the case of de-energized batteries (I = 0 Ampere), for differently aged batteries during relaxation. Furthermore, the invention relates to a device for determining the state of health (SoH) of a battery system (10), in particular a stationary battery storage system.

This invention relates to the field of battery energy storage system technology, specifically to a battery energy storage system lifespan prediction method, comprising the following steps: S1, conducting experimental tests on specific battery models for both cyclic and static usage scenarios, obtaining experimental test results, and acquiring real-time operational data of the energy storage power station; when in use, this invention combines experimental testing with a data-driven rapid battery lifespan estimation method, by statistically analyzing the daily operational data of the battery energy storage system; when calculating capacity decay, both cyclic decay and calendar decay are considered simultaneously to achieve rapid assessment and lifespan prediction of the battery's state of equilibrium (SOH); by using parallel calculation of daily operating conditions and all possible decay amounts, replacing the previous serial iterative calculation method, the algorithm efficiency is significantly improved; when data is missing, a missing value completion method is used to fill in the overall daily operating conditions, rather than directly interpolating to complete a specific variable, which helps improve the accuracy of the prediction.

1. Name of the product in this design: Battery Energy Storage System (V15 Plus). 2. Purpose of this design: This design is for a lithium battery household wall-mounted / floor-mounted battery energy storage system. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention belongs to the field of virtual power plant scheduling technology, specifically involving a joint scheduling method for multiple virtual power plants considering distributed energy optimization and control. The steps include: constructing a control model for photovoltaic power generation resources within the virtual power plant, a scheduling and control model for the series-connected battery energy storage system, and a short-term power generation scheduling model for multiple virtual power plants; jointly optimizing the intraday operation of multiple virtual power plants; setting the objective function of the short-term power generation scheduling model for multiple virtual power plants with the optimization objectives of minimizing the joint operation cost of multiple virtual power plants and minimizing the renewable energy curtailment rate, and solving it using a simulated annealing algorithm to obtain the optimal scheduling plan for multiple virtual power plants within a short-term scheduling cycle when connected to a distributed energy control strategy. This invention can improve the distributed renewable energy absorption capacity, reduce the operating losses of the energy storage system, and enhance the economy and operational flexibility of joint scheduling of multiple virtual power plants while satisfying the constraints of coordinated operation of multiple virtual power plants.

This description provides a control method, a device, and an apparatus for a liquid-cooled pipe of a battery energy storage system. The control method comprises: monitoring the battery energy storage system to obtain the operating mode of the battery energy storage system and an initial temperature of a plurality of battery cells in any of the battery groups within the battery energy storage system; determining a thermal management mode to be activated for the battery energy storage system; and evaluating whether the battery energy storage system needs to perform start-up flow control, based on the initial temperature and operating mode of the plurality of battery cells in each of the battery groups.And in response to the need for the battery energy storage system to perform starting flow control, a target battery group is determined based on the initial temperature and thermal management mode of the battery cells in each group, and a flow control valve is activated in a branch of the liquid cooling pipe corresponding to the target battery group. Therefore, the target battery group requiring flow control can be automatically identified, and the flow in the branch of the liquid cooling pipe corresponding to the target battery group can be effectively controlled, thereby effectively improving the temperature difference between the battery groups.

The application discloses a kind of multi-cell energy storage system power equalization control method.The application controls energy storage converter output power by obtaining the SOP of energy storage unit connected with each energy storage converter, and considers the requirements of power charging and discharging and battery consistency;Each energy storage converter only needs to consider the information of corresponding DC side energy storage unit, and meets the characteristics of droop control;When there is temperature difference difference condition in each energy storage battery, the application reasonably allocates the output power of each energy storage converter by calling the SOP information of corresponding energy storage battery;At the same time, when the temperature, capacity and aging degree of energy storage battery are different, SOC reaches consistency and then inconsistency condition appears again, SOP comprehensively considers SOC, voltage, capacity, temperature and other constraints, which can better meet the requirement of battery consistency.

The present application relates to the technical field of water-based sodium-ion battery energy storage system life evaluation, and discloses a water-based sodium-ion battery energy storage system life evaluation method, device and product, comprising: obtaining real-time electrolyte state parameter set in the operation process of the water-based sodium-ion battery energy storage system, and real-time electrochemical impedance spectrum and real-time voltage relaxation curve under the current multi-physical field coupling detection working condition; extracting features from the real-time electrochemical impedance spectrum and the real-time voltage relaxation curve, and determining a real-time feature parameter set; based on the real-time electrolyte state parameter set and the real-time feature parameter set, processing through a target life prediction model based on material attenuation mechanism to obtain a health state evaluation value and a remaining service life prediction value of the water-based sodium-ion battery energy storage system. Therefore, by implementing the present application, the electrolyte state and the multi-physical field electrochemical characteristics are fused into the mechanism type model for the first time, and accurate, interpretable and real-time life evaluation of the water-based sodium-ion battery energy storage system is realized.

The computer-implemented method for identifying thermal runaway events in a battery module, where multiple battery modules collectively form a Battery Energy Storage System (BESS). The method includes receiving an acoustic signal from at least one acoustic sensor positioned within the BESS. A thermal runaway event is identified if there is a sudden increase in battery noise detected in the received acoustic signal.

The utility model discloses a kind of connection structure of energy storage battery pack liquid cooling plate and energy storage battery pack module, including aluminum extrusion cold plate and the battery module of being located at its top, aluminum extrusion cold plate both ends are equipped with several fixed holes, fixed hole is clamped with fixed part, fixed part is welded in fixed hole, bolt is inserted in the mounting hole of battery module outer side, bolt hole is set in the center of fixed part, bolt is rotated with its corresponding bolt hole, it is related to new energy battery energy storage system technical field, simplify the complex structure of relying on multiple components welding in prior art, design is embedded into cold plate using single diamond connecting piece, cancel beam and redundant components such as back plate, improve sealing performance and assembly efficiency by threaded connection structure, adapt to the demand of new energy automobile battery module to lightweight, high-integration thermal management system, optimize part structure, processing technology and assembly process, realize efficient, compact and high-reliability connection.

This invention relates to a wind power generation enhancement and integration method, belonging to the field of wind power generation integration technology, and particularly to a wind power generation enhancement and integration method. The invention provides a wind power generation enhancement and integration method, comprising the following steps: Step 1): Establishing a power system analysis model, which includes a battery energy storage system model, a dynamic line rating model, and an optimal power flow model; Step 2): Conducting simulation node system tests and calculations, and performing economic and reliability evaluations on the improved IEEE 24-node reliability test system to verify the wind power grid connection effect, improve wind power utilization, reduce system costs, and improve system reliability.

This invention relates to the field of lithium-ion battery energy storage technology, specifically disclosing a fault diagnosis method and system for lithium-ion battery energy storage systems. Through a multi-level monitoring logic of cluster-module-cell, the fault range is quickly narrowed down before focusing on individual cell diagnosis, avoiding indiscriminate full-scale calculations and achieving accurate fault location and analysis for large-scale energy storage systems. Furthermore, through the collaborative calculation of spatial and temporal information entropy, real-time location of sudden faults and early warning of gradual faults are simultaneously achieved, effectively solving the problems of strong adaptability to single faults and weak collaborative diagnosis capabilities for multiple faults in existing technologies.

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.

We disclose a decision-dependent, opportunity-constrained optimal model for improving the resilience of a power distribution system under renewable power generation uncertainty by strategically setting up and starting dispatchable diesel generators, renewable distributed power sources, battery energy storage systems, and switchable devices. A moment-based ambiguity set is used to represent the uncertainty arising from renewable distributed power sources by incorporating information on decision variables. By leveraging convex approximations to handle the considered joint opportunity constraints, the disclosed model is transformed into an easy-to-handle mixed-integer quadratic cone programming problem to be solved.

This invention proposes a temporal decision generation method for proactive decommissioning of power batteries based on diffusion reinforcement learning. The method includes: constructing a state vector for the predicted state; calculating the benefit-loss ratio sequence for each time point within a future period and identifying the benefit window with the greatest future usability; calculating a future risk score to predict irreversible degradation windows where the battery may experience irreversible performance decline; generating multiple future strategy trajectories containing future states and decommissioning actions using a diffusion model, and optimizing the trajectories by combining the benefit-loss ratio sequence and the irreversible degradation window using reinforcement learning to select the optimal decommissioning trajectory; and generating executable behavioral suggestions, including immediate decommissioning, delayed observation, or continued operation, based on the recommended decommissioning time and corresponding state determined by the optimal decommissioning trajectory and a preset behavioral evaluation logic. This invention is applicable to the proactive decommissioning management of vehicle-mounted power batteries, energy storage systems, and multi-module battery packs.

A method and system for performing blackstart functionality from renewable generation and battery energy storage systems are disclosed. A plant may include a microgrid that includes one or more customer loads and that may provide power to a utility grid. Blackstart may be performed to restore operations to part or all of the plant or to external loads such as microgrid customer loads or part of the utility grid. In practice, blackstart may be performed in order to restore operation to the one or more feeders in the plant, such as to the generation sources within the plant, to restore power to the plant auxiliary loads, customer loads in the microgrid, and to provide power to different sections of the grid when transitioning from shutdown mode of operation. In this way, the method and system may automatically transition from a shutdown mode of operation to an islanded mode of operation.

Underground battery storage system, wherein the underground battery storage system comprises an enclosure (2) arranged in the ground (E), battery storage modules (5) and electronic components (6) for controlling the battery storage modules (5), characterized in that the battery storage modules (5) and electronic components (6) are arranged in a cabin (1) embedded in the enclosure (2), wherein the cabin (1) with the battery storage modules (5) and electronic components (6) arranged therein can be extended vertically from the enclosure (2) arranged in the ground (E) by means of a lifting system.

The application discloses a high-efficiency thermal management and equalization control method of a photovoltaic box transformer sodium battery energy storage system, and relates to the technical field of battery technology.The method comprises the following steps: acquiring temperature time sequence data and electrical time sequence data corresponding to each battery monomer; for each battery monomer, performing first feature cross fusion on the corresponding temperature time sequence data and electrical time sequence data to obtain monomer cross features; for spatially isomorphic battery monomers in different battery modules, performing second feature cross fusion on the corresponding monomer cross features to obtain inter-module isomorphic cross features; for spatially heterogeneous battery monomers in the same battery module, performing third feature cross fusion on the corresponding monomer cross features to obtain intra-module heterogeneous cross features; and determining an equalization control strategy according to the inter-module isomorphic cross features and the intra-module heterogeneous cross features.The application has the effect of improving the intelligent degree of the sodium battery energy storage system.

This invention relates to a battery pack balancing control method and system. The method includes: Step S1: treating the battery pack as an intelligent agent network and converting the battery pack balancing problem into a Markov game that can be handled by the DRL algorithm; Step S2: generating online expert data using the FCS-MPC algorithm; Step S3: training the intelligent agent network and a hybrid network based on different intelligent agent networks using the FCS-MPC-QMIX algorithm, and dynamically fusing the expert data into the objective functions of the intelligent agent network and the hybrid network during training to accelerate network convergence; Step S4: using the trained intelligent agent network and the hybrid network to achieve battery pack balancing control. This invention can provide balancing control for distributed battery energy storage systems.

An energy system comprising: a heating, ventilation, and / or air conditioning (HVAC) system including an HVAC branch loop having an HVAC regulated flow flowing in one or both directions; a battery energy storage system (ESS) including a battery pack having batteries configured for operating temperatures within a target temperature range, an ESS regulating loop having an ESS regulated flow, wherein the ESS regulating loop is thermally coupled to the battery pack, and the HVAC branch loop and the ESS regulating loop are fluidly isolated from each other; a heat exchanger, wherein the HVAC branch loop and the ESS regulating loop are thermally coupled to each other via the heat exchanger; and a controller configured to control the flow within the HVAC branch loop and the ESS regulating loop such that the battery pack operates within the target temperature range.

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.

A an estimation arithmetic processing unit estimates an open circuit voltage and an internal resistance with respect to a charging rate of the secondary battery based on a charge-discharge voltage and a charge-discharge current of the secondary battery, and input-output power of the DC-AC converter, estimates efficiency of the DC-AC converter and power consumption of an auxiliary device of the DC-AC converter, and estimates charge-discharge energy efficiency with respect to the charging rate of the secondary battery and a rated input-output ratio on an AC side of the DC-AC converter based on the estimated open circuit voltage, the internal resistance, the efficiency of the DC-AC converter, and the power consumption of the auxiliary device of the DC-AC converter.

This application provides an energy storage system, relating to the field of battery energy storage system technology, including a battery management system, an energy storage converter, an energy management system, and a transformer substation monitoring and control device; the battery management system is connected to the energy storage converter via a first communication link and a second communication link; the battery management system is connected to the transformer substation monitoring and control device via a third communication link; the energy management system is connected to the battery management system, the energy storage converter, and the transformer substation monitoring and control device via a fourth communication link; the battery management system is used to determine the alarm level of battery status information according to preset rules, and is also used to send the alarm level to the energy management system, and send a control signal to the execution device according to the alarm level; the energy management system is used to send the control signal to the execution device according to the alarm level, ensuring the reliability of control signal transmission.

This invention discloses a method for mitigating power fluctuations in a combined electrothermal-hydrogen microgrid that integrates hydrogen storage, thermal storage, and energy storage. The method employs dynamically adjusted parameters. λ L and λ M The dual-stage low-pass filter decomposes the net fluctuating power into low, medium, and high-frequency components, which are then allocated to the hydrogen storage system (HSS), heat pump (HP), and battery energy storage system (BESS), respectively. The HSS and HP outputs undergo soft-cutoff correction based on their own and the heat storage tank's status. The BESS handles high-frequency and upstream transfer fluctuations and incorporates an adaptive dead zone and bidirectional protection mechanism: when the BESS status exceeds limits or deviates from the optimal range, feedback reduces... λ L This method forcibly transfers some fluctuations to the upstream HSS (High-Speed ​​System) or utilizes dead-zone filtering micro-actions to protect lifespan. Through full-band soft cutoff decoupling and bidirectional upstream and downstream feedback, it effectively unleashes the joint regulation potential of heterogeneous multi-energy devices.

The application discloses a compressed carbon dioxide energy storage system coupled with a battery energy storage system and a method thereof, which comprises a compressed carbon dioxide energy storage module, a battery energy storage module, and a power grid and a power generation device connected to the compressed carbon dioxide energy storage module and the battery energy storage module in parallel. The compressed carbon dioxide energy storage module comprises a low-pressure carbon dioxide storage tank and a high-pressure carbon dioxide storage tank. The outlet of the low-pressure carbon dioxide storage tank is connected to the inlet of the high-pressure carbon dioxide storage tank through a first throttling valve and a compressor. The outlet of the high-pressure carbon dioxide storage tank is connected to the inlet of the low-pressure carbon dioxide storage tank through a second throttling valve and an expander. The battery energy storage module is connected to the power grid and the power generation device in parallel to store and release energy. The application couples the battery energy storage system to the compressed carbon dioxide energy storage system, uses the non-power-limited characteristics of the battery energy storage system to reduce the phenomenon of abandoned wind and abandoned light, and uses the short reaction time of the battery energy storage to smooth the transition, thereby effectively avoiding the disadvantage of slow reaction of the large-scale compressed energy storage system.

The invention is entitled "Dynamic Nonlinear Optimization of Battery Energy Storage Systems." The invention provides a system and method for optimizing a battery energy storage system (BESS) that can involve: inputting data to an echo state network, the data relating to operation of a battery energy storage system and including one or more of: load data, renewable energy data, non-renewable energy data, carbon emissions, carbon credits, and weighted energy costs; and optimizing the operation of the battery energy storage system based on the data input to and processed by the echo state network and relating to the operation of the battery energy storage system.

This invention relates to a high-efficiency battery energy storage system, belonging to the field of battery technology. The battery energy storage system includes a battery system, a PCS (Power Conversion System), and system integration. The battery system includes battery modules and module groups. Each battery module includes a battery array, an equalization circuit, a BMS (Battery Management System) intelligent module, and a DC / DC converter. Module groups utilize a series-parallel battery connection; the series connection of battery modules increases the voltage level of the battery string, and then the batteries are connected in parallel to ultimately construct the battery system. The PCS adopts a parallel converter module topology, with each converter module employing a two-level three-phase bridge circuit. The modules share AC and DC buses and are then connected to the grid via a transformer. System integration integrates the battery system, PCS, and safety facilities. System integration mainly involves monitoring networks, control systems, equipment layout, and safety facilities. During the assembly of the battery energy storage system, an amino-modified organosiloxane-acrylate copolymer additive is added to the electrolyte, mixed evenly, and then injected into the battery.