Dynamic Battery Charging Settings for Usage-Based Optimization
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Solution Overview
Problem
Consumer electronics with lithium ion batteries face challenges in balancing battery service life and runtime, as charging settings optimized by manufacturers do not accommodate individual usage patterns, leading to potential battery degradation and inefficient use.
Innovation Solution
A method and system for dynamically modifying battery charging settings based on usage history, allowing for voltage and current adjustments to optimize battery performance according to specific consumer needs, and identifying spare batteries to adjust their charge settings for extended performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If a battery is charged to a higher voltage or higher current to extend runtime, then the device can be used longer between charges, but the battery deteriorates more rapidly and service life is reduced
Solution Approach 1:
The patent implements dynamic charging settings that automatically adjust voltage and current parameters based on real-time temperature monitoring and usage patterns. The system transitions from static manufacturer-default settings to adaptive dynamic control, modifying charging parameters during the charging process to balance runtime extension with battery longevity protection.
Solution Approach 2:
The system modifies charging parameters (voltage offset and current offset) based on analyzed usage data. By changing these electrical parameters dynamically rather than using fixed values, the system optimizes the balance between charging speed/runtime and battery degradation, allowing higher parameters when conditions permit and lower parameters when temperature or usage patterns indicate risk.
2Reliability
If charging settings are optimized for long service life with lower voltage or current, then battery deterioration is reduced, but the device runtime is shortened
Solution Approach 1:
The system continuously monitors temperature, charging cycle count, and usage patterns, then feeds this information back to adjust charging parameters. This closed-loop feedback mechanism allows the system to maintain conservative charging settings when battery stress is high while permitting more aggressive charging when conditions are favorable, thereby extending runtime without compromising service life.
Solution Approach 2:
The charging system dynamically adapts parameters based on real-time conditions rather than maintaining fixed conservative settings. This allows the system to maximize runtime when the battery can tolerate higher stress while automatically retreating to protective lower settings when degradation risks emerge, achieving both goals across different operational contexts.
3Ease of manufacture
If manufacturer-optimized charging settings are used, then the battery is designed for either long runtime or long service life, but the consumer cannot modify these settings to match individual usage patterns
Solution Approach 1:
The system automatically analyzes the consumer's unique usage patterns and autonomously determines optimal charging parameters without requiring manual configuration. By having the system self-adjust based on observed behavior rather than requiring consumer expertise or manual input, the patent achieves both ease of manufacture (no complex user interface needed) and adaptability (customized to individual patterns).
Solution Approach 2:
The system performs preliminary analysis of usage patterns during initial charging cycles and before charging events to pre-determine optimal settings. This advance preparation allows the system to have manufacturer defaults ready while also being prepared to adapt to individual patterns, combining the benefits of pre-optimization with post-manufacturing customization.
Data Source
AI summary
Methods and a system for dynamically modifying charging settings for a battery assembly are described. A first usage value and a second usage value for the battery assembly are received. A usage difference value for the battery assembly is determined by comparing the first usage value to the second usage value. The usage difference value is compared to a plurality of battery usage ranges. Each battery usage range is associated with a bin count, a different voltage offset, and a different current offset. The bin count of one of the plurality of battery usage ranges is updated based on the comparison. The bin counts of the plurality of battery usage ranges are analyzed to determine a largest bin count and a respective battery usage range. The battery assembly is charged with a voltage offset and a current offset corresponding to the respective battery usage range with the largest bin count.