Abstract: A method for adjusting a current of a battery includes obtaining one or more parameters of a battery including the current of the battery, a voltage and a temperature of the battery, determining a first correction parameter relating to a variation in current due to charging and discharging of the battery, based on at least a portion of the one or more parameters, determining a difference between an electrolyte concentration of an anode surface and an electrolyte concentration of a cathode surface of the battery, based on at least a portion of the one or more parameters, determining a temperature parameter based on the temperature of the battery, determining a second correction parameter relating to a temperature of the battery, based on the difference and the temperature parameter, and determining a correction value for the current of the battery based on the first correction parameter and the second correction parameter.

Abstract: An apparatus for predicting a traffic speed and a method thereof are provided. The apparatus includes an input device that receives traffic speed sequences of a plurality of links and a controller that detects a spatio-temporal relationship between traffic speeds of the plurality of links and predicts a future traffic speed of a target link based on the spatio-temporal relationship between the traffic speeds of the plurality of links.

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 processor-implemented method with battery cell charging includes: for each degradation parameter set comprising one or more degradation parameters related to degradation, communicating with a server configured to generate and store a look-up table (LUT) comprising charge data for each index combination of the one or more degradation parameters comprised in the degradation parameter set; determining a current value of the one or more of the degradation parameters corresponding to a target battery cell of an electronic device and transmitting the current value to the server; receiving an LUT corresponding to the current value of the one or more degradation parameters from the server; and charging the target battery cell based on a charging profile that is generated by charge data of the received LUT.

Abstract: Methods and apparatuses with battery short circuit detection are provided. A short circuit detecting method includes determining measurement data by measuring a battery for a target timespan including a battery charging timespan or a battery discharging timespan, determining estimation data of the battery for the target timespan using a battery model that simulates the battery to determine the estimation data, determining a resistance error parameter of the battery based on the measurement data and the estimation data, and determining that a battery short circuit condition is satisfied based on a result of comparing the resistance error parameter and a short circuit threshold value.

Abstract: A processor-implemented method with battery state estimation includes estimating a current state of charge (SOC) of a target battery by correcting a first electrochemical model corresponding to the target battery using a first voltage difference between a measured voltage of the target battery and an estimated voltage of the target battery that is estimated by the first electrochemical model, estimating an end SOC of the target battery by correcting a second electrochemical model using a second voltage difference between an estimated voltage of a virtual battery that is estimated by the second electrochemical model and a preset voltage, and estimating a relative SOC (RSOC) of the target battery based on the current SOC and the end SOC of the target battery, wherein the second electrochemical model is based on the virtual battery corresponding to the target battery being discharged to reach the preset voltage.

Abstract: A device and method with battery state estimation are disclosed. A method includes charging a battery in a constant current (CC) charging mode, iteratively updating a full state of charge (SOC) value of the battery while in the CC charging mode, when a measured voltage value of the battery is determined to be greater than or equal to a cutoff voltage value, switching from the CC charging mode to a constant voltage (CV) charging mode and charging the battery in the CV charging mode, and iteratively updating the full SOC value while the battery is in the CV charging mode.

Abstract: A processor-implemented method with battery state estimation includes estimating a current state of charge (SOC) of a target battery by correcting a first electrochemical model corresponding to the target battery using a first voltage difference between a measured voltage of the target battery and an estimated voltage of the target battery that is estimated by the first electrochemical model, estimating an end SOC of the target battery by correcting a second electrochemical model using a second voltage difference between an estimated voltage of a virtual battery that is estimated by the second electrochemical model and a preset voltage, and estimating a relative SOC (RSOC) of the target battery based on the current SOC and the end SOC of the target battery, wherein the second electrochemical model is based on the virtual battery corresponding to the target battery being discharged to reach the preset voltage.

Abstract: A method and apparatus with battery short circuit detection are included. In one general aspect, a processor-implemented method includes, based on battery data measured by a battery and a battery model of the battery, determining a detection parameter value used for detecting a short circuit of the battery and a variation factor value correlated with the detection parameter, using the variation factor to extract a reference value corresponding to the detection parameter value from a reference data set, and determining whether a short circuit of the battery has occurred based on a result of comparing the detection parameter value with the reference value.

Abstract: A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.

Abstract: Disclosed are an electronic device, including a memory configured to store parameters of an electrochemical model corresponding to a battery, a sensor configured to measure a voltage of the battery, and a processor configured to determine a first cumulative state of charge (SOC) correction amount at a partially discharged point in time at which a SOC of the battery is corrected by a corrector for reducing a voltage difference between an estimated voltage of the electrochemical model and the measured voltage of the battery, estimate a second cumulative SOC correction amount at a fully discharged point in time based on the first cumulative SOC correction amount and a SOC correction amount prediction curve, and update an aging parameter of the electrochemical model based on the second cumulative SOC correction amount.

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: Disclosed is a method and apparatus for measuring a battery state. The method includes determining an operational mode of a battery; measuring a battery state of the battery using an electrochemical model in response to the battery determined to be operating in a low rate mode, and measuring the battery state using a modified electrochemical model based on a characteristic of the battery, in response to the battery determined to be operating in a high rate mode.

Abstract: An electronic device for estimating a battery state and an operating method thereof are disclosed. The electronic device including a temperature sensor configured to measure a temperature of the battery, a current sensor configured to measure a current of the battery, a voltage sensor configured to measure a voltage of the battery, and a processor configured to estimate a temperature profile of the battery based on the temperature and the current of the battery and a battery model, determine an overvoltage profile of the battery based on the temperature profile, revise the overvoltage profile based on a current state of charge (SOC) and the voltage of the battery, and estimate an unusable SOC of the battery based on the revised overvoltage profile and an open circuit voltage (OCV) profile of the battery.

Abstract: A battery charging control method and apparatus is disclosed. The battery charging control method includes inputting a preset magnitude of a current to a battery during a preset period of time, identifying a diffusion characteristic of a material in the battery, and determining whether to change the magnitude of the current to be input to the battery based on the identified diffusion characteristic of the material, in which the diffusion characteristic may be determined based on a distribution of the material in one or more of a cathode of the battery, an anode of the battery, and an electrolyte of the battery in response to the input of the current in the battery.

Abstract: A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.

Abstract: A method and apparatus for estimating a state of a battery. The method includes obtaining a measured voltage of a battery from a sensor connected to the battery, obtaining an estimated voltage of the battery from an electrochemical model stored in a memory, estimating an aging variation of the battery based on the measured voltage and the estimated voltage, and updating an aging parameter of the electrochemical model using the aging variation.

Abstract: A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.

Abstract: A processor-implemented method with battery state estimation includes: determining a state variation of a battery using a voltage difference between a sensed voltage of the battery and an estimated voltage of the battery that is estimated by an electrochemical model corresponding to the battery; updating an internal state of the electrochemical model based on the determined state variation of the battery; and estimating state information of the battery based on the updated internal state of the electrochemical model.

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.