Hearing Aid Battery SoC Estimation for Rapid Charge Feedback

The system performs preliminary actions by tracking battery usage time and charge cycles continuously in the background. The microcontroller accumulates data about battery discharge patterns and capacity degradation over time, so when SoC information is needed, the estimation is already prepared or can be quickly calculated without waiting for full charge cycle completion.

The patent introduces a microcontroller as an intermediary between the battery and the user interface. This microcontroller implements a state machine that mediates between raw voltage measurements and the final SoC display, applying correction algorithms that account for battery aging and capacity degradation. The intermediary processes multiple parameters (voltage, current, temperature, usage history) to produce accurate SoC estimates without requiring direct user interaction with the battery itself.

The hearing aid system provides self-service by continuously monitoring its own battery state through integrated sensors and microcontroller algorithms. The device automatically calculates and updates SoC information without requiring user intervention to remove it from the ear or place it in a charger. The system serves itself by tracking its own power consumption, battery voltage, and usage patterns to maintain accurate SoC information available at all times through wireless communication.

The system implements continuous feedback loops where the microcontroller monitors battery parameters, compares them against expected discharge curves, and adjusts SoC estimates in real-time. This feedback mechanism allows the device to provide accurate SoC information dynamically updated during normal wear, eliminating the need for periodic charging cycles to obtain status information. The feedback is transmitted wirelessly to the user's device for display.

The system performs preliminary characterization of battery aging by tracking charge cycles and capacity degradation from the moment the battery is installed. The microcontroller builds a historical record of discharge curves and capacity loss patterns, creating a personalized aging model for each battery. This preliminary action establishes baseline data that simplifies subsequent SoC calculations, as the system already knows the battery's degradation trajectory without needing complex real-time analysis.

The patent applies partial correction factors rather than complete re-characterization of battery capacity. Instead of performing full battery analysis, the system uses simplified derating equations that apply incremental adjustments based on usage time and charge cycle count. This partial action approach provides sufficient accuracy for user needs without implementing excessive complexity, balancing computational requirements with acceptable SoC precision for consumer devices.