Samsung Electronics Co., Ltd.

General Electric Company

Anshul Kaushik

Shashishekara Parampalli Adiga

Rajkumar Subhash Patil

Krishnan Seethalakshmi Hariharan

Atanu Talukdar

Deepika Sachdeva

Saratchandra Shanmukh

Chithra Parayalil

Tae Won Song

Venkatesh Rajagopalan

Daebong Jung

Mark Alan Rhoads

Andrew James Jenkins

Ashish Khandelwal

Samarth Agarwal

Seongho Han

Ankit Yadu

Sagar Bharathraj

Subramanian Swernath Brahmadathan

Aravinda Reddy Mandli

Raji Reddy

Arunava Naha

Jeonghoon Jo

Subramani Adhichari

Mohammad Kashfuddoja

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.

Methods and systems for estimating parameters of a cell at various charge-discharge profiles

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.

Method and system with battery management

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.

Battery management system and method for determining active material content in electrode of battery

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

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.

Method and system for detecting operating status of battery

A fan system of a turbine includes a fan mid shaft made of a coated steel material configured to extend along a center axis of a turbine. The fan mid shaft having an inner diameter surface. The fan system includes a dry film lubricant that is configured to be applied to at least a portion of the inner diameter surface of the fan mid shaft.

Turbine fan system and method

A method for determining a condition of a second component of an engine is disclosed wherein the engine includes at least a first component and the second component. The method includes determining a concentration value of a chemical species in an effluent obtained from washing at least a portion of the first component of the engine, inputting the concentration value of the chemical species in a condition assessment model to update the condition assessment model, and estimating the condition of the second component based on an output of the updated condition assessment model. The effluent used herein includes a wash fluid and the chemical species. The second component is different from the first component and the condition assessment model is a representative of a condition of the second component of the engine.

Methods for effluent based condition assessment

A method for performing condition-based maintenance of an engine is presented. The method includes obtaining one or more parameters corresponding to the engine. Also, the method includes determining a temperature profile corresponding to a portion of a fluid flow component based on a first parameter and one or more thermal models. The method further includes estimating a solid deposit in the portion of the fluid flow component corresponding to each cycle of the engine based on the temperature profile and deposition kinetics parameters. Further, the method includes predicting a total solid deposit in the portion of the fluid flow component based on the estimated solid deposit corresponding to each cycle of the engine. Moreover, the method includes performing the condition-based maintenance of the engine based on a value of the predicted total solid deposit.

Systems and methods for performing a condition-based maintenance of an engine

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Bengaluru, India

Anshul Kaushik