Samsung Electronics Co., Ltd.

Gm Global Technolgoy Operations, Inc.

Krishnan Seethalakshmi Hariharan

Tae Won Song

Ashish Khandelwal

Suman Basu

Seongho Han

Rajkumar Subhash Patil

Samarth Agarwal

Piyush Tagade

Sanoop Ramachandran

Subramanian Swernath Brahmadathan

Anshul Kaushik

Ankit Yadu

Nandhini Ganesan

Jeonghoon Jo

Brian James Koch

Ki-Young Kim

Shashishekara Parampalli Adiga

Jason Michael Battle

Tae Jung Yeo

Periyasamy Paramasivam

Kiyoung Kim

Mohan Kumar Singh Verma

Senthil Kumar Vadivelu

Aravinda Reddy Mandli

Arunava Naha

Hanseok Park

Priya Gambhire

Arijit Guha

Taejun Yeo

Achyutha Krishna Koneti

Deekshith Pathayappilly Krishnan

Subramanya Mayya Kolake

Anjith George

Provided is a method for detecting at least one anomaly in a battery, the method including obtaining, by a processor, charging-discharging data of the battery that has undergone a preset number of charging-discharging cycles, and obtaining, by the processor, a probability of the battery being healthy and at least one probability of the battery having an anomaly of at least one class, based on a correlation between charging-discharging data of a plurality of reference batteries and the charging-discharging data of the battery.

Methods and systems for detecting faulty behavior in a battery

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.

Methods and aparatuses for charging hybrid battery pack

A method for managing a battery includes obtaining a first plurality of battery parameters with respect to a first charging or discharging cycle of the battery; obtaining a second plurality of battery parameters with respect to a second charging or discharging cycle of the battery; determining a relative entropy by comparing the first plurality of battery parameters measured during the first charging or discharging cycle and the second plurality of battery parameters measured during the second charging or discharging cycle; and estimating a relative entropy value to predict a number of cycles after which a battery capacity is predicted to drop.

Method and electronic device for managing a battery

The present disclosure provides a method and a system for improving the state of health (SoH) of rechargeable batteries. The method comprises receiving a plurality of battery parameters during charging of a battery and estimating model parameters of the battery using a mathematical model. The method also comprises comparing the estimated model parameters of the battery and the received battery parameters to determine degradation parameters of the battery in real-time, determining new charging current profile of the battery based on the degradation parameters of the battery, and applying the determined new charging current profile to the battery for improving the SoH of the battery.

Method and system for improving state of health of rechargeable batteries

A method for predicting an onset of a capacity fading in a battery includes measuring, over a period of time, a plurality of parameters related to charging and discharging cycles of the battery; detecting, based on the measured plurality of parameters, the onset of the capacity fade in the battery; and providing a notification on the electronic device indicating the detected onset of the capacity fade.

Method and system for predicting onset of capacity fading in a battery

Provided are a battery state measuring method and battery management system, which predict a time point when charging capacity of a battery is to be relatively abruptly reduced. The battery state measuring method includes: monitoring a change of at least one precursor related to the charging capacity of the battery with respect to a number of charging cycles undergone by the battery; and predicting that an abrupt reduction in the charging capacity of the battery is imminent when the change of the at least one precursor follows at least one pre-configured pattern of the battery that has undergone a critical number of charging cycles.

Battery state measuring method and battery management system

Provided are a method and system for determining State of Health (SOH) of a battery. The method includes: detecting a charging state of the battery that is being charged by a Constant Current (CC) or a Constant Voltage (CV); adding a low frequency current signal to the CC that is charging the battery to obtain a low frequency charging current, or adding a low frequency voltage signal to the CV, that is charging the battery to obtain a low frequency charging voltage; determining one or more parameters relating to the battery during the charging state of the battery; calculating an internal impedance and Open Circuit Voltage (OCV) values based on the one or more parameters; and determining SOH of the battery based on the calculated internal impedance and the OCV values.

Method and system for determining health parameter of a battery

A Battery Management System (BMS) for an electronic device with bidirectional communication between The BMS and an Operating System (OS) of the electronic device for generating a charging pattern of charging the battery of the electronic device according to information received from the operating system.

Apparatus and method for battery management

A method and apparatus for predicting a capacity fade rate of a battery are provided. The method includes collecting capacity degradation data of a battery based on a current and a state of charge (SOC) for a predefined number of cycles, generating a capacity fade model based on the capacity degradation data, and estimating a capacity fade rate of the battery using the capacity fade model.

Method and apparatus to predict capacity fade rate of battery

Disclosed is a battery state of charge (SOC) determining method and a battery managing apparatus that acquires a stochastic reduced order model (SROM) and a mean using battery conservation equations acquired based on a stochastic Pseudo 2-dimensional electrochemical thermal (P2D-ECT) model, measures state information, and assimilates the state information with the SROM and the mean to determine an accurate SOC at a relatively low calculation cost.

Method of determining state of charge of battery and battery managing apparatus

A system and a method for fast charging a battery, based on dynamically determined cut-off voltage are provided. The system includes a hardware processor, and a non-volatile memory comprising instructions, the instructions executed by the hardware processor configure the hardware processor to identify dynamically, a current state of charge (SOC) of the battery, by a battery charging module, determine at least one fast charging profile that matches the current SOC of the battery, by the battery charging module, determine a dynamic cut-off voltage that matches the fast charging profile, by the battery charging module, and charge the battery based on the dynamic cut-off voltage, by the battery charging module.

System and method for fast charging of batteries based on dynamic cutoff voltage

A method and apparatus for estimating a state of health (SOH) of a battery are provided. The method includes measuring a voltage and a partial discharge time of the battery, acquiring a normalized partial discharge time using a battery model of a reference battery normalized with respect to a time, calculating a full discharge time of the battery based on the partial discharge time and the normalized partial discharge time, and estimating the SOH based on a ratio between a stored full discharge time of the reference battery and the full discharge time of the battery.

Method and apparatus for estimating state of health (SOH) of battery

A method includes estimating an average concentration of ions in electrodes of a battery and estimating a state-of-charge (SOC) of the battery by Coulomb counting, correcting the ion concentration based on a difference in predicted and measured cell voltages, and correcting the Coulomb counting SOC based on a relation between SOC estimated by Coulomb counting and the average concentration, and the difference in the predicted and measured cell voltages.

Method for real time correction of ion concentration and Coulomb counting state-of-charge (SOC) in battery

A method and apparatus for predicting a state of charge (SoC) of a battery includes estimating an open circuit voltage of the battery based on an open current voltage model, where the open current voltage model is defined by internal parameters that are derived from a battery voltage of the battery, a load current of the battery for a load, or a first SoC of the battery, or any combination thereof; and predicting a second SoC based on the estimated open current voltage.

Method and battery system predicting state of charge of a battery

A method and battery system for thermal management of a battery system includes predicting a total heat generation by a battery based on determined internal conditions of the battery, and controlling a selective adjusting of a heat transfer coefficient for the battery based on the predicted total heat generation to maintain an operating temperature of the battery at a target temperature or within a target temperature range.

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Bengaluru, India

Krishnan Seethalakshmi Hariharan