Abstract: The invention discloses method and apparatus for operation and maintenance of a battery and an electronic device. The method includes: performing a charging/discharging process on a to-be-analyzed battery cluster, and determining key battery parameters (KBP) of a plurality of cells in the battery cluster; determining whether the battery cluster is abnormal depending on whether the KBPs of the cells in the battery cluster exceed a normal range; and performing operation and maintenance on the battery cluster in a case that the battery cluster is abnormal. The internal resistance, the capacity parameter, and the self-discharge parameter of the cells are used as the KBPs of the cells. Based on the KBPs, whether the cells are abnormal can be determined more accurately, and the cause of the abnormality can be determined. Accordingly, more accurate operation and maintenance can be subsequently realized for the battery cluster when required.

Abstract: The invention discloses method and system for predicting working conditions of lithium batteries. The method includes performing a Fourier transform on a physicochemical state quantity distribution function of a solid-phase lithium battery to calculate a physicochemical state quantity distribution series function in a frequency domain and obtain a solid-phase physicochemical state quantity in the frequency domain according to the physicochemical state quantity distribution series function; performing a Laplace transform on a partial differential governing equation set of the solid-phase physicochemical state quantity to obtain a solid-phase ordinary differential equation set in a complex frequency domain and obtain an analytical solution in the time domain through an inverse Laplace transform; and calculating, according to the analytical solution, a predicted value of the working conditions of the solid-phase lithium battery at any location and at any time in the future.

Abstract: The invention discloses method and system for target-based electric field decoupling for an electrochemical model.

Abstract: The invention provides an apparatus and a method for managing an energy storage power station. The apparatus includes: a first main control module communicatively connected with a battery cluster management unit (BCMU) for collecting battery information of the first priority in an energy storage power station system, and performing protection and control on the energy storage power station system according to the battery information of the first priority; and a second main control module communicatively connected with the first main control module and the BCMU, respectively, for collecting battery information of the second priority in the energy storage power station system. The second main control module operably transmits the collected battery information of the second priority to the first main control module. The first main control module operably manages the battery information of the first priority and the battery information of the second priority in a unified manner.

Abstract: The invention provides method and device for battery state-of-charge (SOC) estimation. The method comprises establishing an electrochemical model for a battery; setting an initial value of the current SOC of the battery, and determining an initial distribution of solid-phase lithium ion concentrations in the electrochemical model according to the initial value of the SOC; performing a charge/discharge test on the battery, collecting measured voltage and current of the battery after a first time interval; calculating an output voltage and a distribution of the solid-phase lithium ion concentrations at a current acquisition time based on the measured current and the initial distribution of the solid-phase lithium ion concentrations; and when a voltage difference between the output voltage and the measured voltage is within a preset range, estimating the current SOC value of the battery based on the distribution of the solid-phase lithium ion concentration at the current acquisition time.

Abstract: The invention discloses method and apparatus for quantitative analysis of battery performance and an electronic device. The method includes performing a full charging/discharging process on a to-be-analyzed battery cluster, and determining differential capacities versus voltage of a plurality of cells in the battery cluster at different times; determining first times and first states of charge (SOC) when the differential capacities versus voltage of the cells reach a first peak and second times and second SOCs when the differential capacities versus voltage of the cells reach a second peak, and determining capacity parameters of the cells; and performing quantitative analysis on the battery cluster according to the capacity parameters of the plurality of cells. Accordingly, the battery cluster does not need to be disassembled. The capacity parameters can be quickly and accurately determined through a full charging/discharging process.

Abstract: A method and a system for estimating a state of charge of a battery cluster, an electronic device, and a storage media are provided. The method comprises acquiring target data related to the state of charge; estimating, by an ampere-hour integration method, the state of charge based on the target data, to obtain a first estimated value; inputting the target data into a state-of-charge prediction model to estimate the state of charge and obtain a second estimated value, wherein the prediction model is obtained by training based on sample data; and determining a final estimated value of the state of charge based on the first estimated value, the second estimated value, and a first distance between the target data and the sample data. The method combines the ampere-hour integration method and the prediction model to estimate the state of charge, effectively improving the accuracy of the state of charge estimation.

Abstract: The invention discloses a method, a system, a device, and a medium for detecting a battery state of health. The method includes extracting a target curve segment from a first charging characteristic curve of a battery under test; and determining, according to a corresponding relation between characteristic parameters of the target curve segment and the battery state of health, the battery state of health matching the characteristic parameters of the target curve segment, and determining the battery state of health as the battery state of health of the battery under test. By utilizing said corresponding relation as the calculation basis, the invention improves the reliability and accuracy of the detection of battery state of health detection. The invention also tracks instances of abusive conditions that accelerate battery aging, assessing whether such conditions accelerate battery degradation and issuing warnings accordingly.

Abstract: A device and a method for calculating a single-particle electrochemical model are provided. The device comprises electrochemical calculation modules, a communication module, and a data forwarding module. The electrochemical calculation modules calculate internal performance of batteries in an energy storage system based on battery data in the energy storage system, and output calculation results. The communication module is connected to the electrochemical calculation modules, and configured to transmit the battery data in the energy storage system to each of the electrochemical calculation modules and output the calculation results output by the electrochemical calculation modules. The data forwarding module is connected to the communication module, the energy storage system, and a cloud server, and configured to obtain the battery data from the energy storage system, forward the battery data to the communication module, and forward the calculation results.

Abstract: The invention provides methods, devices and non-transitory tangible computer-readable storage media for estimating a state of charge of a battery and extracting a charging curve of the battery. The method for estimating the state of charge of the battery includes estimating a first state of charge of the battery; determining a charging curve that conforms to the present charging scenario, wherein the present charging scenario is characterized by at least one of parameters including an ambient temperature, a charging rate, an internal resistance, a state of health, a lifespan, and an open circuit voltage of the battery; and correcting the first state of charge according to the charging curve to obtain a final state of charge of the battery.

Abstract: A method for establishing an electrochemical model for an ion battery is provided. The ion battery includes a negative electrode region, a positive electrode region, and a diaphragm arranged between the negative electrode region and the positive electrode region. The negative electrode region includes a negative electrode current collector, a negative electrode liquid phase and a negative electrode solid phase. The positive electrode region includes a positive electrode current collector, a positive electrode liquid phase and a positive electrode solid phase.

Abstract: A method for establishing an electrochemical model for an ion battery is provided. The ion battery includes a negative electrode region, a positive electrode region, and a diaphragm arranged between the negative electrode region and the positive electrode region. The negative electrode region includes a negative electrode current collector, a negative electrode liquid phase and a negative electrode solid phase. The positive electrode region includes a positive electrode current collector, a positive electrode liquid phase and a positive electrode solid phase.

Abstract: The invention provides a method and a system for early warning of dendrite growth in a lithium battery. The method includes simulating the lithium battery in real time through an electrochemical model to judge whether the lithium battery generates lithium dendrites; simulating a growth trend of the lithium dendrites when the lithium battery is determined to generate the lithium dendrites; and judging and providing early warning of the dendrite growth in the lithium battery based on the growth trend of the lithium dendrites obtained through simulation. The invention prevents the growth of dendrites of the lithium battery by carrying out early warning and simulation for dendrite growth, thereby protecting the safety of the lithium battery system.

Abstract: The invention provides a method and a system for early warning of dendrite formation in a lithium battery. The method includes acquiring real-time operating condition information and electrochemical parameters of the lithium battery; performing a computational simulation based on the real-time operating condition information and the electrochemical parameters through an electrochemical model, and obtaining by analysis a deposition result of the lithium battery; and using the deposition result obtained through electrochemical model simulation, providing early warning for the dendrite formation in the lithium battery. The invention avoids the growth of dendrites of the lithium battery by providing early warning and simulation for dendrite formation, thereby protecting the safety of the lithium battery system.

Abstract: A method and an apparatus for monitoring energy storage cell abnormality, an electronic device, and a medium are provided. The method includes: obtaining valid state data of a first cell in a battery module at a preset time; obtaining a discrete statistical state characteristic of the first cell based on the valid state data of the first cell; calculating distances between the discrete statistical state characteristic of the first cell and discrete statistical state characteristics of each remaining cells in the battery module separately, averaging the set of distances, to obtain a distance characteristic associated with the first cell; and determining whether the first cell is abnormal based on the distance characteristic of the first cell. Consistency monitoring of each cell in the battery module is implemented based on the state data of each cell, so that an early warning indicative of a possible fault can be issued.

Abstract: A method for calculating a terminal voltage of a lithium battery based on an electrochemical model, an apparatus, and a medium are provided. The method includes: constructing the electrochemical model of the lithium battery, and dividing the lithium-ion battery into three domains comprising an anode domain, a separator domain, and a cathode domain; numerically simulating the electrochemical model in the three domains respectively using the Chebyshev spectral method, and respectively obtaining distribution data of a liquid-phase potential, overpotential, and open-circuit voltage of the anode and the cathode; obtaining solid-phase potential distribution data of the anode and the cathode, based on discrete data of the liquid-phase potential, overpotential, and open-circuit voltage of the anode and the cathode; and obtaining the terminal voltage of the lithium battery based on the solid-phase potential distribution data of the anode and cathode.

Abstract: The invention provides a method and system for decoupling electric field of electrochemical model based on a parallel targeting method. The method includes selecting a negative or positive electrode region as a calculation region; selecting a solid or liquid phase current as an observed quantity, and a solid and liquid phase potential as a costate variable; inserting nodes between two endpoints of the calculation region, and determining a target value of the observed quantity of each node; constructing N calculation units; respectively performing a target shooting on the N calculation units; and determining whether a distance between the target shooting value of the observed quantity of the end point of each calculation unit and the target value of the observed quantity of the node corresponding to the end point of the calculation unit is within a preset range.

Abstract: The invention discloses a method for step parameter identification based on an electrochemical model, including: identifying a first type of electrochemical parameters through a reduced-order electrochemical model by utilizing different preset charge-discharge rate data; determining a first type of target electrochemical parameters identified by the reduced-order electrochemical model through extrapolation; the first type of target electrochemical parameters including an approximate value of the first type of electrochemical parameters or the first type of electrochemical parameters at a specific rate; identifying the first type of electrochemical parameters, which includes solid-phase lithium concentration and exchange current, through a full-order electrochemical model by taking the first type of target electrochemical parameters as actual values of the first type of electrochemical parameters of the full-order electrochemical model; and identifying a second type of electrochemical parameters, which include

Abstract: The invention discloses a method, a system, an electronic device, and a storage medium for determining performance of a power battery. The method includes the following steps: acquiring historical data of the power battery in at least two charging processes; determining, according to historical data in one charging process, a dQ/dV curve and a direct current internal resistance corresponding to said charging process; calculating a relative change rate of internal resistance capacity in any two charging processes; and determining the performance of the power battery according to the relative change rate of internal resistance capacity and a relative change rate of internal resistance capacity range corresponding to fault type. The invention can effectively determine whether the performance of the power battery is abnormal by combining, in the two charging processes, the target peak value of a dQ/dV curve of the power battery and the change in direct current internal resistance.

Abstract: The invention discloses a method, a system, a device, and a medium for detecting a battery state of health. The method includes extracting a target curve segment from a first charging characteristic curve of a battery under test; and determining, according to a corresponding relation between characteristic parameters of the target curve segment and the battery state of health, the battery state of health matching the characteristic parameters of the target curve segment, and determining the battery state of health as the battery state of health of the battery under test. By utilizing said corresponding relation as the calculation basis, the invention improves the reliability and accuracy of the detection of battery state of health detection. The invention also tracks instances of abusive conditions that accelerate battery aging, assessing whether such conditions accelerate battery degradation and issuing warnings accordingly.