Abstract:
Embodiments herein provide a method and electronic device for detecting an internal short circuit in a battery. The method includes obtaining, by a battery management system, battery gauge data. Further, the method includes estimating, by the battery management system, an internal resistance of the battery using the battery gauge data. Furthermore, the method includes detecting, by the battery management system, the internal short circuit in the battery by comparing a change in the internal resistance with a pre-defined resistance change threshold value.
Abstract:
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.
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 method for adaptive battery charging and an apparatus therefor are disclosed. The present disclosure relates to a battery system for electronic devices and more particularly to the rate of charging of batteries in electronic devices. The method and apparatus are directed to dynamically determining the charging rate of a battery of an electronic device, based on factors such as user profile, usage, age of battery, etc. The method discloses determining at least one charging rate for a battery, determining at least one model representing an effect of degradation of the battery and a charging time for at least one charging mechanism, determining charging profiles over a cycle life of the battery based on the at least one model, and applying the charging profiles to the battery.
Abstract:
Embodiments herein disclose a method and system of charging a battery. The method includes identifying a state of the battery and a plurality of current levels corresponding to the state of the battery. Furthermore, the method includes charging the battery by applying the plurality of current levels corresponding to a pre-defined sequence to attain a cut-off voltage of the battery.
Abstract:
The present subject refers to a method for battery fault diagnosis and prevention of hazardous conditions. The method comprises determining a plurality of parameters defined as one or more of current, voltage, or state of charge during operation of a battery-powered device. Further, one or more likelihood ratios related to malfunctioning of the battery are evaluated based on determined parameters. At least one of: a current battery-state or a type of current battery state are determined based on the one or more likelihood ratios as evaluated.
Abstract:
Embodiments herein disclose an apparatus and methods for identifying an anomaly in at least one of a re-chargeable battery and at least one component(s) connected to the re-chargeable battery. Embodiments herein relates to the field of battery management systems, and more particularly to apparatus and methods for identification of anomalies in batteries and loads/component(s) connected to the re-chargeable battery. The embodiments herein includes outputting a severity level of the anomaly in the at least one of the re-chargeable battery and at least one component connected to the re-chargeable battery, based on the analyzed plurality of the threshold values of the determined plurality of the characteristic data corresponding to the voltage data and current data, wherein the severity level of anomaly comprise at least one of, a negligent level, a medium level and a critical level.
Abstract:
An electronic apparatus for charging a battery with an optimum charge profile corresponding to a pattern of use and a state of the battery is provided. The electronic apparatus may include a power supply configured to supply power to respective components of the electronic apparatus using power of a battery, and when receiving an input of power from an external adaptor, to charge the battery using the inputted power, and a processor configured to fully charge and discharge the battery to thus generate a charge curve and a discharge curve expressed in time and charge amount, and control the power supply to charge the battery using a charge profile corresponding to the generated charge curve and discharge curve.