Dynamic Battery Management in Implantable Devices
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Solution Overview
Problem
Implantable medical devices face challenges in accurately displaying battery longevity, as existing systems often use amp/hours, which can confuse clinicians and users, and do not effectively manage battery capacity over time, leading to inefficient scheduling and potential device cessation.
Innovation Solution
A dynamic battery management system that combines measurements from multiple devices, including coulometers and capacity-by-voltage devices, using a weighted average to determine battery capacity consumed, and displays remaining battery life in units of time through a semicircular gauge, allowing for dynamic allocation of capacity based on actual power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery capacity is displayed in amp/hours (Ahr), then the measurement precision of battery capacity is improved, but the ease of operation deteriorates because clinicians and users find it confusing
Solution Approach 1:
The patent introduces an intermediary conversion process that transforms the raw battery capacity measurement (in Ahr) into a more user-friendly representation (in months of remaining life). The controller acts as a mediator that receives the Ahr measurement from the coulometer, processes it through calculation algorithms, and outputs the converted time-based display value, thus resolving the contradiction between precise measurement and ease of understanding
Solution Approach 2:
The patent changes the display parameter from electrical units (amp/hours) to temporal units (months). This parameter transformation allows the same underlying battery capacity data to be presented in a form that is intuitively understandable to clinicians and users, who think in terms of time intervals for patient follow-ups rather than electrical charge units
2Device complexity
If a single measuring device is used for battery capacity, then the device complexity is reduced, but the measurement precision deteriorates due to inaccuracies at different battery life stages
Solution Approach 1:
The patent implements a dynamic measuring system that adapts the measurement approach based on the battery's state of charge. The controller dynamically selects between different measuring methods (coulometry for discharged batteries, voltage-based methods for charged batteries) depending on the current operating conditions. This dynamic adaptation ensures high measurement precision across the entire battery lifecycle without requiring multiple permanent measuring devices
Solution Approach 2:
The patent segments the battery monitoring function into multiple specialized measuring devices, each optimized for specific battery conditions. A coulometer is used for measuring capacity in discharged batteries, while voltage-based measurement devices are used for charged batteries. The controller integrates measurements from these segmented measuring devices, allowing each device to operate in its optimal performance range, thus achieving high overall precision
3Device complexity
If battery capacity is allocated statically, then the device complexity is reduced, but the reliability deteriorates due to premature cessation or underutilization
Solution Approach 1:
The patent implements a feedback mechanism where the controller continuously monitors actual battery capacity consumption and compares it with the allocated capacity reserves. Based on this feedback, the system dynamically adjusts the allocation of remaining battery capacity to optimize therapy continuity. This feedback loop ensures that battery reserves are appropriately managed to prevent premature cessation while avoiding underutilization, thereby improving reliability without excessive complexity
Solution Approach 2:
The patent applies preliminary action by pre-allocating battery capacity reserves at different stages of battery discharge. The system proactively divides the remaining battery capacity into functional reserves (for immediate needs) and safety reserves (for unexpected demands) before critical situations arise. This preliminary allocation strategy, continuously adjusted based on actual usage patterns, ensures therapy continuity and prevents premature device failure
Data Source
AI summary
One aspect of this disclosure relates to a system for dynamic battery management in implantable medical devices. An embodiment of the system includes two or more devices for measuring battery capacity for an implantable medical device battery. The embodiment also includes a controller connected to the measuring devices. The controller is adapted to combine the measurements from the measuring devices using a weighted average to determine battery capacity consumed. According to various embodiments, at least one of the measuring devices includes a coulometer. At least one of the measuring devices includes a capacity-by-voltage device, according to an embodiment. The system further includes a display in communication with the controller in various embodiments. The display is adapted to provide a depiction of battery longevity in units of time remaining in the life of the implantable medical device battery, according to various embodiments. Other aspects and embodiments are provided herein.