17846805. METHOD AND ELECTRONIC DEVICE FOR MANAGING A BATTERY simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
METHOD AND ELECTRONIC DEVICE FOR MANAGING A BATTERY
Organization Name
Inventor(s)
Deekshith Pathayappilly Krishnan of Bangalore (IN)
Krishnan S. Hariharan of Bangalore (IN)
Samarth Agarwal of Bangalore (IN)
Subramanian Swernath Brahmadathan of Bangalore (IN)
METHOD AND ELECTRONIC DEVICE FOR MANAGING A BATTERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 17846805 titled 'METHOD AND ELECTRONIC DEVICE FOR MANAGING A BATTERY
Simplified Explanation
The abstract of this patent application describes a method for managing a battery by analyzing battery parameters during charging and discharging cycles. The method involves comparing the parameters from different cycles to determine a relative entropy value, which can be used to predict when the battery capacity will decrease.
- The method involves obtaining battery parameters during charging and discharging cycles.
- The parameters from different cycles are compared to calculate a relative entropy value.
- The relative entropy value is used to estimate the number of cycles after which the battery capacity will drop.
Potential Applications
This technology can be applied in various industries and sectors where battery management is crucial, such as:
- Electric vehicles: Predicting battery capacity degradation can help optimize charging and usage patterns, improving overall vehicle performance and range.
- Renewable energy storage: By estimating when battery capacity will decrease, better planning and maintenance can be implemented to ensure consistent energy supply.
- Portable electronics: Battery life prediction can assist in managing power consumption and optimizing charging cycles for devices like smartphones and laptops.
Problems Solved
This technology addresses the following problems:
- Battery degradation: By predicting when battery capacity will drop, proactive measures can be taken to mitigate the impact of degradation, such as replacing or reconditioning the battery.
- Unreliable battery performance: Knowing the expected lifespan of a battery allows for better planning and prevents unexpected power failures.
- Inefficient battery usage: Optimizing charging and discharging cycles based on predicted capacity degradation can improve overall battery efficiency and extend its lifespan.
Benefits
The benefits of this technology include:
- Cost savings: By accurately predicting battery capacity degradation, unnecessary battery replacements can be avoided, resulting in cost savings.
- Enhanced performance: Optimizing battery usage based on predicted degradation can improve overall performance and reliability of devices and systems.
- Improved sustainability: Efficient battery management reduces waste and extends the lifespan of batteries, contributing to a more sustainable approach to energy storage.
Original Abstract Submitted
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.
