Battery Full Charge Capacity Updates for Accurate Runtime Prediction
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Solution Overview
Problem
Only a portion of users update the full charge capacity (FCC) of a battery in a timely manner, leading to inaccurate runtime predictions, sudden system shutdowns, and data loss due to the long interval between updates.
Innovation Solution
A method for automatically updating the FCC of a battery by identifying the state of charge (SOC) and comparing it with a threshold, determining the time since the previous update, and updating the battery when both conditions are within specified parameters, including discharging and charging based on configuration parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the FCC update is performed frequently, then the runtime prediction accuracy is improved, but the battery undergoes more discharge cycles which reduces battery lifespan
Solution Approach 1:
The system dynamically adjusts the update frequency by changing the SOC threshold parameter based on battery age. For newer batteries, a higher threshold (e.g., 20%) is used, allowing more frequent updates. For older batteries, the threshold is lowered (e.g., 10%), reducing update frequency and preserving battery lifespan while maintaining acceptable prediction accuracy.
Solution Approach 2:
The update mechanism transitions from a static fixed-interval approach to a dynamic adaptive approach. The system continuously monitors battery age and adjusts the SOC threshold and time interval parameters in real-time, optimizing the balance between prediction accuracy and battery preservation throughout the battery's lifecycle.
2Duration of action of moving object
If the FCC update is delayed, then the battery cycles are preserved, but the runtime prediction accuracy deteriorates and system shutdowns occur
Solution Approach 1:
The system proactively schedules FCC updates before critical failures occur by monitoring both SOC thresholds and time intervals. When either threshold is reached, the system initiates an update cycle, ensuring predictions remain accurate and preventing sudden shutdowns caused by outdated capacity data.
Solution Approach 2:
The system continuously monitors battery SOC and compares it against dynamic thresholds, creating a feedback loop that triggers updates when necessary. This ensures the FCC remains synchronized with actual battery capacity while minimizing unnecessary update cycles.
3Ease of operation
If manual update process is used, then user control is maintained, but the update timeliness is inconsistent and user experience deteriorates
Solution Approach 1:
The system performs self-service by automatically monitoring battery conditions, determining when updates are needed based on SOC thresholds and time intervals, and executing updates without requiring user intervention. This ensures consistent timeliness while users retain the option to manually trigger updates if desired.
Data Source
AI summary
Automatically updating a full charge capacity (FCC) of a battery of an information handling system, the method including: determining that the SOC of the battery is less than the SOC threshold; determining that the time since the previous update of the FCC of the battery is greater than the time threshold; identifying configuration parameters for an update of the FCC of the battery; comparing the configuration parameters with current conditions of the battery; based on comparing the configuration parameters with current conditions of the battery, determining that the current conditions of the battery are within bounds of the configuration parameters; and in response to determining that the current conditions of the battery are within the bounds of the configuration parameters, updating the FCC of the battery.