Battery Life Estimation Using Multi-Location Temperature Data
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Solution Overview
Problem
Current battery life estimation methods only consider a single temperature location, failing to account for varying temperatures the device may be exposed to, which can inaccurately predict battery capacity and lead to inefficient power management.
Innovation Solution
A battery life monitor that receives current charge level and temperature data, along with anticipated temperature ranges for future locations, calculates battery life estimates based on these inputs to enable informed power management decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery life is estimated based on a single current temperature location, then the measurement process is simple, but the accuracy of battery capacity prediction deteriorates
Solution Approach 1:
The system performs preliminary actions by obtaining anticipated temperatures for future locations before the device actually reaches those locations. This allows the battery life monitor to pre-calculate battery life estimates for multiple temperature conditions, ensuring accurate predictions are available when needed without requiring complex real-time monitoring at each location.
Solution Approach 2:
The patent transitions from monitoring battery life at a single temperature point to estimating battery life across multiple temperature dimensions. By incorporating anticipated temperatures of future locations, the system creates a multi-dimensional temperature profile, enabling comprehensive battery life prediction that accounts for varying thermal conditions the device will encounter.
2Reliability
If battery life is estimated without considering future temperature conditions, then the power management system is simple to operate, but the reliability of battery life prediction deteriorates
Solution Approach 1:
The battery life monitor automatically performs the complex task of obtaining anticipated temperatures and calculating multiple battery life estimates without requiring user intervention. The system self-services by integrating with location services to fetch future temperature data and autonomously computing adjusted battery life estimates, presenting users with a single reliable prediction despite the sophisticated processing occurring in the background.
3Measurement precision
If multiple temperature locations are considered for battery life estimation, then battery life prediction accuracy is improved, but the amount of data processing increases
Solution Approach 1:
By obtaining anticipated temperatures for future locations in advance, the system prepares the necessary thermal data before battery life estimation is needed. This preliminary data gathering allows for efficient batch processing of multiple temperature scenarios, reducing the computational burden at the moment of estimation and minimizing data processing time while maintaining high accuracy.
Data Source
AI summary
In embodiments, an apparatus may include a battery life monitor. The battery life monitor may, in some embodiments, receive a battery level indicator indicative of a current charge level of a battery that is coupled with the apparatus and a first temperature that may indicate a temperature of a current location of the apparatus. The battery life monitor may also receive one or more additional temperatures that indicate respective temperatures of one or more locations in which the apparatus is likely to be operated prior to discharge of the current charge level of the battery. Based at least in part on the current charge level, the first temperature indicator, and the one or more additional temperatures, the battery life monitor may calculate one or more battery life estimates that correspond with the one or more locations. Other embodiments may be described and/or claimed.