A method for acquiring a battery capacity, includes: acquiring multiple initial charging parameters of a battery when the battery is charged during a current charging process, where state of charge (SOC) of the battery in the current charging process changes for a range covering an SOC range, or a minimum charging temperature of the battery in the current charging process is greater than or equal to a temperature threshold; periodically acquiring multiple actual charging parameters of the battery during the current charging process and a current number of charging times corresponding to the current charging process; and acquiring, according to the multiple initial charging parameters, the multiple actual charging parameters, and the current number of charging times, a predicted battery capacity of the battery in a next charging process.

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.

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.

A secondary battery diagnosing technology capable of effectively diagnosing a state of a secondary battery using a charge and discharge signal of the secondary battery, including a memory unit configured to store a positive electrode reference profile and a negative electrode reference profile for charge or discharge of a reference battery, a voltage measuring unit configured to measure a voltage of a target battery during a charge or discharge process, and a processor configured to generate a charge and discharge measurement profile based on the voltage, compare a simulation profile obtained from the positive electrode reference profile and the negative electrode reference profile with the generated charge and discharge measurement profile, and determine a positive electrode adjustment profile and a negative electrode adjustment profile so that an error between the simulation profile and the charge and discharge measurement profile is within a predetermined level.

A secondary battery diagnosing technology capable of effectively diagnosing a state of a secondary battery using a charge and discharge signal of the secondary battery, including a memory unit configured to store a positive electrode reference profile and a negative electrode reference profile for charge or discharge of a reference battery, a voltage measuring unit configured to measure a voltage of a target battery during a charge or discharge process, and a processor configured to generate a charge and discharge measurement profile based on the voltage, compare a simulation profile obtained from the positive electrode reference profile and the negative electrode reference profile with the generated charge and discharge measurement profile, and determine a positive electrode adjustment profile and a negative electrode adjustment profile so that an error between the simulation profile and the charge and discharge measurement profile is within a predetermined level.

A battery diagnosing technology capable of effectively diagnosing a defective battery cell among a plurality of battery cells included in a battery system at an early stage. The battery system diagnosing apparatus diagnoses a battery system including a plurality of battery cells having electrode tabs therein, and includes a cell measuring unit for measuring a voltage or current for each of the plurality of battery cells; and a processor for calculating a state of health (SOH) for each battery cell multiple times over time by using the voltage or current measured by the cell measuring unit and detecting a battery cell having a defect in the electrode tab among the plurality of battery cells based on the SOH of each battery cell calculated multiple times.

A battery diagnosing technology capable of effectively diagnosing a defective battery cell among a plurality of battery cells included in a battery system at an early stage. The battery system diagnosing apparatus diagnoses a battery system including a plurality of battery cells having electrode tabs therein, and includes a cell measuring unit for measuring a voltage or current for each of the plurality of battery cells; and a processor for calculating a state of health (SOH) for each battery cell multiple times over time by using the voltage or current measured by the cell measuring unit and detecting a battery cell having a defect in the electrode tab among the plurality of battery cells based on the SOH of each battery cell calculated multiple times.

A deterioration estimation device (1) includes: a discharge control unit (11) configured to discharge a lead-acid battery (3) or a lead-acid battery module (4) that includes a plurality of lead-acid batteries until the lead-acid battery (3) or the lead-acid battery module (4) reaches a predetermined SOC; and a first estimation unit (11) configured to estimate a rate of deterioration of the lead-acid battery (3) or the lead-acid battery module (4) based on internal resistance or conductance derived when the lead-acid battery (3) or the lead-acid battery module (4) is discharged.

A deterioration estimation device (1) includes: a discharge control unit (11) configured to discharge a lead-acid battery (3) or a lead-acid battery module (4) that includes a plurality of lead-acid batteries until the lead-acid battery (3) or the lead-acid battery module (4) reaches a predetermined SOC; and a first estimation unit (11) configured to estimate a rate of deterioration of the lead-acid battery (3) or the lead-acid battery module (4) based on internal resistance or conductance derived when the lead-acid battery (3) or the lead-acid battery module (4) is discharged.

A method for estimating an impedance of a battery. The method includes the steps of: acquiring data of the battery during at least a predetermined time range, the data including at least a plurality of voltage measurements and a plurality of current measurements; determining a time window within the predetermined time range, the time window starting after a relaxed voltage interval and including a dynamic load interval, determining an initial voltage, the initial voltage being the voltage measurement at the start of the time window, determining a plurality of dynamic voltages based on the voltage measurements in the time window and the initial voltage, executing a subspace identification analysis based on the plurality of current measurements and on the plurality of dynamic voltages, and computing the impedance from an output of the subspace identification analysis.