Abstract: A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

Abstract: A method and electronic device with battery state detection are provided. The method includes generating relative cumulative cell resistance (RCCR) curve information of a target battery based on constant voltage (CV) phase data of the target battery recorded during a charging operation of the target battery; and generating at least one of aging or shorting condition information of the target battery based on the generated RCCR curve information.

Abstract: The following description relates to a method and system with battery parameter estimation for a rest period. A method of estimating a battery parameter of a battery for a rest period of the battery includes: based on determining that an intercalation flux of the battery satisfies a predetermined condition, calculating an open circuit voltage (OCV) of the battery, wherein the OCV is calculated based on an initial voltage, a first time constant corresponding to a positive electrode of the battery, a second time constant corresponding to a negative electrode of the battery, a first constant, a second constant, and a value of a time variable for the rest period; and estimating the battery parameter based on the calculated OCV of the battery.

Abstract: Provided are a method and device with battery short circuit detection. A method of detecting a short circuit in a battery includes: triggering a rest phase of the battery, determining a first time constant related to a rest voltage of the battery when the battery may be in the rest phase, estimating a first short-resistance value by comparing the first time constant with a second time constant related to a voltage of the battery, and making a short circuit determination for the battery based on a result of comparing the first short-resistance value and a second short-resistance value, wherein the first time constant and the second time constant may be determined with reference to either a temperature range or a charging range of the electronic device.

Abstract: Methods and an electronic devices for estimating battery parameters, where the method of estimating battery parameters performed by a processor includes determining whether a diffusion length of an intercalation material in an electrode of a battery is lesser than a threshold, calculating a concentration of the intercalation material in the electrode based on a result of the determination, and estimating at least one battery parameter of the battery parameters based on the concentration of the intercalation material.

Abstract: A battery management system and method to control charging of a battery is provided. The system determines whether a current capacity of the battery is greater than a predetermined threshold percentage of an original rated capacity of the battery, in response to initiation of a charging cycle of the battery being detected, controls the battery to be charged with a first voltage, in response to the current capacity of the battery being determined to be greater than the predetermined threshold percentage of the original rated capacity of the battery, and controls the battery to be charged with a second voltage, in response to the current capacity of the battery being determined to be less than or equal to the predetermined threshold percentage of the original rated capacity of the battery.

Abstract: A processor-implemented method of a battery management system includes: determining one or more pieces of sampling data from a plurality of pieces of battery usage data of a battery; determining a first short fatigue metric (SFM) score based on the determined one or more pieces of sampling data; and storing the first SFM score, wherein the one or more pieces of sampling data comprises any one or any combination of any two or more of: a high charging profile associated with the battery; a high discharging profile associated with the battery; a partial charging profile associated with the battery; and a partial discharging profile associated with the battery.

Abstract: A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.

Abstract: A method and device with defect detection are included. In one general aspect, a method performed by an electronic device includes determining, by the electronic device, an operation mode among different operation modes, wherein the electronic device is configured to implement the operation modes for determining wafer defects by processing semiconductor wafer images, and determining, by the electronic device, based on an indication of the determined operation mode, whether a semiconductor image, among the semiconductor wafer images, is defective.

Abstract: Methods and electronic devices for estimating state of charge (SOC) of a battery pack. Various embodiments provide a model comprising an (electrical) equivalent circuit model, an electrochemical (thermal) model, and a (convective) thermal model. The model estimates parameters pertaining to each cell of the battery pack individually, and determines the variations in the values of the parameters among each of the cells of the battery pack. The parameters include capacity, temperature current, voltage, and SOC. The parameters are computed based on at current drawn by the battery pack, electrochemical parameters, thermal parameters, and cell internal and connection resistances of the individual cells. Various embodiments compute battery pack uptime, chargeable capacity of the battery pack and SOC of the battery pack, based on the values of the parameters.

Abstract: A method and apparatus for determining safety of a battery are disclosed, where the method includes identifying a charge state or a discharge state of the battery, activating pulse probe currents at different depths of charge or discharge (charge/discharge) of the battery, in response to identifying the charge or discharge state of the battery, and detecting and differentiating between a state of short (SOS) and a state of health (SOH) of the battery based on variations of the pulse probe currents as a function of the depths of charge/discharge.

Abstract: The present disclosure relates to a method and apparatus for accurately detecting an operating status of a battery in a battery system, where the method includes determining a charging profile of a battery in a battery system, identifying a constant voltage and a corresponding constant current in a charging cycle of the charging profile, estimating at least one of a decay constant or an internal resistance associated with the battery, using at least one of the constant voltage or the constant current, comparing the decay constant with a first threshold value or comparing the internal resistance with a second threshold value, and detecting an operating status of the battery to be faulty or healthy, based on the comparison.

Abstract: A method and system that enhances a service life of a battery is provided. The method includes values of a set of operational characteristics of a plurality of electrochemically active materials of at least one electrode of the battery. The set of operational characteristics include a voltage, a change in accumulated energy, a change in ohmic resistance, and a change in a rate of change in accumulated energy with respect to a rate of change in ohmic resistance. The values are compared with predefined values of the set of operational characteristics. A rate of depletion and a type of depletion of each of the plurality of electrochemically active materials are determined, and a range of the State of Charge, a range of the voltage, and a range of current to operate the battery for enhanced service life are determined.

Abstract: Disclosed are methods and apparatuses for charging a hybrid battery pack, the method including determining, by a battery management system (BMS), a current split ratio for allocating charging current to an energy cell and a power cell in a hybrid battery pack, based on any one or any combination of a state of charge (SoC) level of the energy cell at an instance of initiation of charging, a SoC level of the power cell at the instance of the initiation of the charging, a wattage of an adapter for charging the hybrid battery pack, a capacity of the hybrid battery pack, and a charging time period, and charging, by the BMS, the hybrid battery pack by allocating the charging current to the energy cell and the power cell based on the current split ratio.

Abstract: A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

Abstract: A method for estimating a plurality of parameters pertaining to an electrochemical model of a cell may include: obtaining, by a device, an Electrochemical Impedance Spectroscopy (EIS) spectrum and a Constant Current-Constant Voltage (CC-CV) charge-Constant Current (CC) discharge response of the cell; extracting, by the device, a plurality of features from the EIS spectrum and a plurality of features from the CC-CV charge-CC discharge response of the cell; and estimating, by the device, the plurality of parameters based on at least one of the plurality of features of the EIS spectrum and at least one of the plurality of features of the CC-CV charge-CC discharge response of the cell.

Abstract: A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.

Abstract: A method of estimating a maximum specific capacity of a composite electrode includes generating open circuit potential (OCP) crossover characteristics of the composite electrode comprising silicon and natural graphite, determining a composite electrode lithiation limit of the composite electrode based on a silicon lithiation limit of the silicon, predicting a composite electrode composition of the composite electrode based on the composite electrode lithiation limit, and estimating the maximum specific capacity of the composite electrode based on the composite electrode composition.

Abstract: Methods and electronic devices for estimating state of charge (SOC) of a battery pack. Various embodiments provide a model comprising an (electrical) equivalent circuit model, an electrochemical (thermal) model, and a (convective) thermal model. The model estimates parameters pertaining to each cell of the battery pack individually, and determines the variations in the values of the parameters among each of the cells of the battery pack. The parameters include capacity, temperature current, voltage, and SOC. The parameters are computed based on at current drawn by the battery pack, electrochemical parameters, thermal parameters, and cell internal and connection resistances of the individual cells. Various embodiments compute battery pack uptime, chargeable capacity of the battery pack and SOC of the battery pack, based on the values of the parameters.

Abstract: The present disclosure relates to a method and apparatus for accurately detecting an operating status of a battery in a battery system, where the method includes determining a charging profile of a battery in a battery system, identifying a constant voltage and a corresponding constant current in a charging cycle of the charging profile, estimating at least one of a decay constant or an internal resistance associated with the battery, using at least one of the constant voltage or the constant current, comparing the decay constant with a first threshold value or comparing the internal resistance with a second threshold value, and detecting an operating status of the battery to be faulty or healthy, based on the comparison.