Hearing Aid Proactive Power Management via Dynamic Parameter Adjustment
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Solution Overview
Problem
Hearing devices face challenges in managing battery life due to increased power consumption from advanced features, leading to frequent battery replacement or recharging, which is inconvenient and costly, and larger batteries compromise aesthetics.
Innovation Solution
Implementing proactive power management systems that predict battery depletion based on user preferences, historical usage patterns, and location, dynamically adjusting operational characteristics such as sound amplification and wireless functionality to extend battery life, using machine learning and AI to optimize performance and battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additional functionality and performance features are added to hearing devices, then user capability and performance are improved, but battery power consumption increases
Solution Approach 1:
The hearing device dynamically adjusts its operational characteristics based on predicted battery depletion. The system transitions between different performance states (e.g., adjusting sound amplification levels, enabling/disabling wireless features) according to real-time battery status and usage patterns, allowing the device to maintain functionality while adapting power consumption to extend battery life.
Solution Approach 2:
The system modifies operational parameters such as sound amplification levels, wireless communication enabled/disabled states, and processing intensity based on predicted battery depletion. By changing these parameters proactively rather than reactively, the device extends battery life while maintaining acceptable performance levels.
2Duration of action of stationary object
If battery capacity is increased to extend usage time, then remaining usage time is improved, but device aesthetics are compromised
Solution Approach 1:
Instead of increasing battery capacity, the system performs preliminary actions by predicting when the battery will deplete and proactively adjusting operational characteristics in advance. This allows the device to extend usage time through intelligent power management rather than physical battery enlargement, preserving aesthetics.
Solution Approach 2:
The hearing device manages its own power consumption through automated prediction and adjustment of operational characteristics. The system monitors battery status, predicts depletion based on usage patterns, and self-adjusts performance parameters without user intervention, extending battery life through self-service power management.
3Reliability
If battery replacement or recharging frequency is increased to maintain functionality, then reliability is improved, but user convenience and cost are worsened
Solution Approach 1:
The system performs preliminary actions by predicting battery depletion before it occurs and proactively adjusting operational characteristics to extend usage time. This prevents the need for frequent battery replacements or recharges, maintaining reliability while improving user convenience.
Solution Approach 2:
The system continuously monitors battery status and usage patterns, using this feedback to refine predictions and adjust operational characteristics. This closed-loop feedback mechanism ensures the device maintains functionality while extending battery life based on actual usage conditions.
Data Source
AI summary
Systems and methods for hearing devices with proactive power management are provided. Various embodiments dynamically adapt power consumption to the preferences, needs, and behavior of the hearing device user such that the hearing device provides function until the hearing device can be recharged. Moreover, some embodiments exploit the trend of more intelligent devices and machine learning to create dynamic power management schedules which can be temporarily implemented to create an optimal blend of performance versus battery life while minimizing perception of the feature or performance reduction to the user. Moreover, the dynamic nature of the power management used in various embodiments can account for battery degradation, updated firmware, and/or other factors that may impact battery life as the hearing device ages.