Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models.

Abstract: A method, an apparatus and a device for identifying battery parameters, and a storage medium are provided.

Abstract: Provided are a method and an apparatus for identifying a parameter of a battery model, an electronic device, and a storage medium. The method includes: obtaining to-be-identified parameters from an electrochemical model to form individuals; calculating a first fitness for each individual; determining a cell parameter if any individual has a first fitness less than a fitness threshold; sorting the individuals in an ascending order based on magnitudes of the first fitness, and partition the individuals into two parts in a case that each individual has a first fitness greater than or equal to the fitness threshold; updating to sub-individuals obtained from partition; calculating a second fitness for each individual, compare the second fitness with the first fitness, and retain an individual having a smaller fitness; and terminates if a fitness of the retained individual is less than the fitness threshold.

Abstract: An ASIC chip for performing active battery equalization is provided. The ASIC chip for performing active battery equalization includes: a power conversion module, an equalization switch matrix circuit module comprising a power MOS transistor, a switch control module, a temperature protection module, and a communication interface module. By connecting and controlling the above modules, the equalization switch matrix circuit module performs equalization on a battery in the battery pack. That is, the use of the integrated ASIC chip accelerates and facilitates the BMS solution manufacturers adding the active equalization function, and facilitates the BMS Battery management system effectively improving the service performance and life of lithium batteries.

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 battery temperature monitoring point identification and abnormality detection method is provided according to the present disclosure. The method is applied to a battery module, and a temperature sensor inside the battery module is determined as a temperature monitoring point of a battery. The method includes: establishing a second-order RC equivalent circuit model of the battery in the battery module; performing parameter identification on the second-order RC equivalent circuit model to obtain an optimal parameter; obtaining distances between multiple temperature monitoring points in the battery module and the battery by using the obtained optimal parameter; and determining effectiveness of the temperature monitoring points based on the obtained distances between the temperature monitoring points and the battery.

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: 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 relates to system and method for managing a battery array. The system comprises: a bus; a connecting unit coupled between the battery array and the bus; an active balancing unit for performing constant current charging of each battery unit connected to the bus through a DC-DC converter to achieve active balancing of said battery unit; a passive balancing unit for performing constant current discharging of each battery unit connected to the bus to perform passive balancing of said battery unit; a sensing unit for sensing battery parameters of each battery unit connected to the bus; and a control unit for controlling the connection unit to connect the plurality of battery units to the bus in turn, and the active balancing unit and the passive balancing unit, based on the sensed battery parameters of said battery unit connected to the bus, to perform balancing operations of said battery unit.

Abstract: A computing terminal for parameter identification is provided. The computing terminal includes an FPGA which includes a solid-phase calculating module, a liquid-phase calculating module, and an electrolytic coupling calculating module. At least some of the solid-phase calculating module, the liquid-phase calculating module, and the electrolytic coupling calculating module operate in parallel. Each of the calculating modules is configured to solve a corresponding differential equation to determine a corresponding electrochemical parameter of an electrochemical model. With the computing terminal for parameter identification, the FPGA has a low cost and parallel calculations are achieved at a hardware level, thereby speeding up processing, and improving processing efficiency.

Abstract: A method for rapid battery diagnosis based on edge computing, storage medium and electronic device. The method includes: periodically collecting battery information data from a battery management system at a preset frequency; performing convolution on the battery information data using first-order differential operators to obtain primary convolution results; identifying secondary convolution results that fall outside an underperforming threshold range based on the primary convolution results; and detecting anomalies in the battery information data based on the secondary convolution results and the battery information data. The present disclosed method allows for more precise and rapid processing of battery data on edge devices, enables a quick diagnosis of battery performance, and is easily scalable.

Abstract: An ASIC chip for performing active battery equalization is provided. The ASIC chip for performing active battery equalization includes: a power conversion module, an equalization switch matrix circuit module comprising a power MOS transistor, a switch control module, a temperature protection module, and a communication interface module. By connecting and controlling the above modules, the equalization switch matrix circuit module performs equalization on a battery in the battery pack. That is, the use of the integrated ASIC chip accelerates and facilitates the BMS solution manufacturers adding the active equalization function, and facilitates the BMS Battery management system effectively improving the service performance and life of lithium batteries.

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: A method, system, device, and medium for recharging a battery module are disclosed. The method comprises: identifying initial rechargeable batteries within the battery module; selecting from the initial rechargeable batteries, a reference rechargeable battery that satisfies preset charging and discharging conditions, and designating the remaining batteries of the initial rechargeable batteries as target rechargeable batteries; and determining a target capacity for each of the target rechargeable batteries based on the historical charging and discharging parameters of the reference rechargeable battery and each of the target rechargeable batteries; establishing a recharge termination condition for each of the target rechargeable batteries based on the target capacity; and recharging each of the target rechargeable batteries in accordance with its respective recharge termination condition. Considering the unique conditions of each battery, settings for recharge are individualized.

Abstract: Method for analyzing and predicting state of health of a lithium battery includes: collecting battery data within a predetermined time interval, where the battery data comprises at least battery operating time, current, and voltage; determining a target area based on the battery data; establishing a relationship between a cumulative capacity of the target area and the state of health of the battery; correlating the number of cycles in the current state of the battery with the state of health of the battery using the cumulative capacity of the target area and determining a relationship between the number of cycles and the state of health of the battery; and predicting the state of health of the battery in the future according to the relationship between the number of cycles and the state of health of the battery. The method is simple and easy to operate, and practical as well.

Abstract: A heterogeneous computing terminal for task scheduling is provided, including a processing unit and multiple computing units. The heterogeneous computing terminal generates a task scheduling strategy. The target computing unit acquires a target upgrade program, is upgrade based on the target upgrade program, processes a target task and sends a processing result to the processing unit. The processing unit combines processing results sent by multiple target computing units to obtain a processing result of an initial task set. The heterogeneous computing terminal can upgrade the computing unit online, that is, dynamically update the computing unit, thereby greatly expanding the versatility of the computing unit of hardware. Scheduling strategy adapted to the task can be generated, and the computing unit can dynamically provide better task processing capabilities. The computing efficiency of the heterogeneous computing terminal is improved.

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: A method for calculating a state of charge of a battery is provided. The method includes: estimating a first state of charge of the battery by using a first state of charge estimation algorithm; estimating a second state of charge of the battery by using a second state of charge estimation algorithm; determining a first weight corresponding to the first state of charge and a second weight corresponding to the second state of charge based on state data of the battery; and calculating the state of charge of the battery based on the first state of charge and the first weight, and the second state of charge and the second weight. With method for calculating a state of charge of a battery in the present disclosure, the accuracy of calculating the state of charge of the battery can be improve d with a lower computation cost.