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 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, a system and a storage medium for consistency analysis of a lithium battery module. The method includes acquiring various microscopic electrochemical parameters corresponding to each single cell in the lithium battery module; respectively establishing a time sequence database of the microscopic electrochemical parameters corresponding to each single cell, based on each of the microscopic electrochemical parameters; and performing consistency analysis on each single cell that meets a preset circuit connection relation based on each time sequence database.

Abstract: The invention discloses method system for detecting lithium precipitation of lithium batteries. The method includes acquiring voltage-time data of lithium batteries of a battery module; performing feature extraction on the voltage-time data to obtain voltage-time data of charging and discharging in accordance with a preset range; performing an inflection point judgment on the voltage-time data of the charging and discharging; determining that there exists the inflection point, and grading the inflection point time when the inflection point occurs; and detecting an amount of lithium precipitation of the lithium batteries based on the grade of the inflection point time. The method combines data feature extraction and electrochemical model in big data and establishes a series of log and threshold system to detect and monitor lithium precipitation and early warn for lithium batteries.

Abstract: The invention provides method, system and storage medium for solving electric field physical quantity in an electrochemical model. 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 potentials 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; sequentially completing shooting of each of the N calculation units until a convergent solution of the target shooting of the N-th calculation unit is obtained, and taking the convergent solution as a deterministic solution of the costate variable; obtaining the physical quantity of each spatial point at the present time according to the observed quantity of the starting point at the present time and the deterministic solution of the costate variable.

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

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 provides an electrochemical model based method for early warning for a lithium battery, including establishing a three-dimensional electrochemical model for the lithium battery, and dividing the lithium battery into three portions respectively including a positive electrode, a negative electrode and a separator; performing spatial discretization on the three-dimensional electrochemical model according to a preset accuracy to establish the four-dimensional spatial coordinates of the lithium battery; obtaining a current lithium ion concentration in each position of the lithium battery by simulation based on the four-dimensional space coordinates, a historical lithium ion concentration and a historical diffusion coefficient of the lithium battery; and performing early warning for the lithium battery according to the current lithium ion concentration in each position.

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: The invention provides methods, systems and terminal devices for analyzing a state of a battery pack based on cell parameters thereof. The method comprises acquiring cell voltages of each cell and total voltages of the battery pack within a preset time; performing data cleaning on the cell voltages and the total voltages of the battery pack; calculating a voltage standard score of the cells based on the cell voltages after data cleaning, and calculating a voltage standard score of the battery pack based on the total voltages after data cleaning; and performing a time-domain analysis on the voltage standard score of each cell and/or the voltage standard score of the battery pack.

Abstract: The invention provides a method, a system and a terminal device for analyzing states of battery packs in a battery cluster. The method includes acquiring cell voltages of each battery pack in the battery cluster within a preset time; performing data cleaning on the acquired cell voltages; calculating a voltage standard score of each cell based on the cell voltages after data cleaning; calculating a mean value and a standard deviation of said voltage standard score; for each battery pack, plotting scattered points based on the mean value and the standard deviation, and performing closed curve fitting to the scattered points to obtain a closed curve; and analyzing the state of the battery pack based on the closed curve.