A computer-implemented method comprises obtaining (202) a plurality of open circuit voltage curves of a battery (150) at a plurality of predefined charge cycles of the battery. Each of the open circuit voltage curves is indicative of an open circuit voltage over a predetermined charge range of the corresponding charge cycle. The method further comprises fitting (204) parameters of a model of the battery based on the plurality of open circuit voltage curves. The parameters include electrode parameters that model a corresponding open circuit electrode potential for each electrode of the battery.
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
G01R 31/3835 - Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H01M 10/0525 - Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodesLithium-ion batteries
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
2.
PRESSURE OR STRAIN ESTIMATION FOR RECHARGEABLE BATTERIES
Various examples relate to characterizing ageing of a rechargeable battery. Multiple state of health associated with capacity, impedance, and/or pressure or strain can be determined, taking into consideration stress factors of the battery. A model is built that enables to determine the state of health of the battery associated with pressure or strain.
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
H01M 10/42 - Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
Various examples of the disclosure pertain to monitoring a condition of a battery. In- dividual cells of small groups of cells are monitored. Problematic behavior or anoma- lous behavior of individual cells of small groups of cells can be detected. Reporting of measurement observables by a battery management system can be reconfigured and adjusted.
Various examples of the disclosure pertain to determining an estimate of a capacity of a battery. A recursive filter is used. The recursive filter operates based on state-of- charge difference values and charge throughput values obtained for a sequence of charging or discharging half-cycles.
The present invention relates to a method (1000) for estimating a state of a battery (B), the method comprising the steps of: acquiring (S1100) data of the battery (B) during at least a predetermined time range, the data comprising at least a plurality of voltage measurements (V) and a plurality of current measurements (I), determining (S1200) a time window (W) within the predetermined time range, the time window (W) starting after a relaxed voltage interval (RVI) and comprising a dynamic load interval (DLI), executing a subspace identification analysis (S1500) within the time window (W) resulting in the determination of one or more parameters of the battery (B), populating (S1600) a model (5000) of the battery (B) with the one or more parameters, estimating (S1800) the state of the battery based on the model (5000).
The invention relates to a thermal impedance spectroscopy of batteries. According to the method, heat is generated in the interior of the battery cell (81) at a number of frequencies, with a continuous frequency sweep through the number of frequencies or time-parallel for at least some of the number of frequencies. A surface temperature of the battery cell is measured and one or more parameters associated with a thermal impedance are determined depending on a relationship of the surface temperature with the heat generation for the number of frequencies.
G01R 31/389 - Measuring internal impedance, internal conductance or related variables
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
9.
DETERMINATION OF AN AGEING VALUE FOR BATTERIES WITH CURRENT-VOLTAGE TIME SERIES IN TIME DOMAIN AND LOAD DOMAIN
The invention relates to various examples of the invention relating to techniques used to determine an ageing value of a battery - e.g. the capacity. According to the invention, time series that include values for operational load parameters of the battery at certain points in time defined in a time domain and a load domain are considered.
Impedance data of at least one battery cell (12) are collected. Further, parameters of an aging model function describing aging of the at least one battery cell (12) are determined. Further, a transfer function is determined which relates the impedance data to the parameters of the aging model function. The transfer function may then be used as a basis for reconstructing the parameters of the aging model function from measured impedance data.
Described are techniques for ascertaining one or more characteristic values of batteries. For example, the state of charge (SOC), the static voltage or open-circuit voltage (OCV) can be ascertained. The capacitance of the battery can also be ascertained.
A plurality of state data (41, 551-556) which relate to different components (511-516) of a battery system (91-96, 501) are received. A machine-learned algorithm (560, 651, 652, 653) is applied to the plurality of state data (41, 551-556) in order to determine in this way a state indicator (99, 601, 602, 603) which is indicative of a component (511-516) of the multiplicity of components (511-516) that is the original cause of a fault state of the respective battery system (91-96, 501).
The invention relates to a computer-implemented method for determining a condition of an energy store. The co-variances of process noise or measurement noise are dynamically updated in successive iterations of a Kalman filtering method.
According to the invention, a corrected value for a terminal voltage is taken into consideration in determining a state value of the battery - for example an ageing value, the capacity, the charge state or the impedance. Said value is determined on the basis of a measured value for the terminal voltage of the battery, and on the basis of one or more operating parameters of a DC/AC converter, for example an inverter, via which the battery is connected to a load.
The invention relates to a computer-implemented method for determining a state of health of an energy store. A model for calculating a capacitance of a charging/discharge process is generated from measurement values of at least one first charging/discharge process of the energy store. A state of health of the energy store is determined based on the capacitance model and a second charging/discharge process.
The invention relates to a method for processing condition data (201, 210) of a battery (91-96) comprising the use of an auto-encoder of an artificial neural network (310) on initial condition data (201, 210). Reconstructed data (209) is obtained therefrom. The method comprises running an ageing estimate on the basis of the reconstructed condition data (209) to obtain a condition indicator (99) which is indicative of an ageing condition of the battery (91-96).
LL12341234soldiff4ohmcteldiff1234ohmcteldiffeldiff) is obtained. The invention also relates to a battery management system for carrying out the method.
Various examples relate to techniques for carrying out a characterisation of a rechargable battery in a two-stage process. To this end, a pre-stored algorithm is used in order to determine one or more derived state variables of the battery. These are then used as input values for a machine-learned algorithm. An ageing value of the battery is obtained therefrom.
A condition value (99) for a rechargeable battery (91-96), e.g. a lithium-ion battery, is determined on the basis of several aging properties. The ageing properties comprise at least an actual aging value (98) and a future aging value (98).
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
The invention relates to general technology for monitoring the status of a battery, e.g. a lithium ion battery. A thermal simulation model is used for this purpose. Different examples relate to the parameterising of the thermal simulation model.
The invention relates to a method for the characterisation of a rechargeable battery (91-96) at risk of lithium plating, comprising the following steps: receiving (1001) operating values (41) of the battery (91-96) as time series, wherein the operating values of the battery comprise a terminal voltage of the battery ( U(t) ) and a battery power of the batter ( I(t) ); determining (1002) a modelled terminal voltage ( USim(t) ) with a model of the battery (400), based on the battery power ( I(t) ); comparing (1003) the modelled terminal voltage ( USim(t) ) with the terminal voltage ( U(t) ); and determining (1004, 1004a, 1004b) a lithium plating status of the battery based on the comparison.
G01R 31/378 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
G01R 31/3842 - Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
22.
SERVER-SIDE CHARACTERISATION OF RECHARGEABLE BATTERIES
The invention relates to a method for server-side characterisation of a rechargeable battery (91-96) comprising: obtaining operating values for a capacity of the battery (91-96) and an impedance of the battery (91-96), based on the operating values; and carrying out at least one state prediction (181-183) for the battery (91-96), wherein each of the at least one state prediction (181-183) comprises multiple iterations (1099), wherein a simulation of an electrical state of the battery (91-96) and a thermal state of the battery (91-96) is carried out in each iteration (1099), and an aging estimation for the capacity and the impedance is determined on this basis, wherein the aging estimation from a first iteration (1099) of the respective state prediction (181-183) is used for the simulation in a subsequent second iteration (1099) of the respective state prediction (181-183).
G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
B60L 58/10 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
B60L 58/24 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
G01R 31/371 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
patents
