Battery Charge Control for Predicted Discharge Events
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Solution Overview
Problem
Information handling systems face challenges in managing battery power effectively, particularly in scenarios where batteries need to maintain sufficient charge levels during events where AC power is not available, such as travel, due to varying discharge rates and unpredictable usage patterns.
Innovation Solution
An information handling system that includes a processor, an embedded controller, and a battery monitoring device, which collects battery charge status and discharge rates, uses learned models to determine needed charge levels and adjusts system settings, like charging rates and power states, to ensure battery sufficiency during events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system operates with high power consumption to maintain productivity, then the discharge rate increases, but the battery charge level depletes faster
Solution Approach 1:
The system dynamically adjusts the discharge rate by modifying operational parameters such as CPU frequency, memory refresh rates, and device sleep states based on real-time battery charge level monitoring. This allows the system to adapt power consumption to current battery status rather than operating at fixed high power levels.
Solution Approach 2:
The system changes operational parameters including processor performance levels, display brightness, and peripheral device power states to control the discharge rate. By adjusting these parameters based on battery charge status, the system can extend operational duration while maintaining acceptable productivity levels.
2Duration of action of moving object
If the system reduces power consumption to extend battery life, then the discharge rate decreases, but the productivity and operational capability are reduced
Solution Approach 1:
The system performs preliminary assessment of battery charge status and upcoming operational requirements to pre-adjust power consumption levels. By anticipating future needs and current charge levels, the system can optimize the balance between productivity and battery duration before critical depletion occurs.
Solution Approach 2:
The system continuously monitors battery charge level and discharge rate, using this feedback to dynamically adjust operational parameters. This closed-loop control allows the system to maintain optimal balance between productivity and battery duration by responding to real-time battery status changes.
3Ease of operation
If the system does not monitor battery status, then the operational simplicity is maintained, but the battery charge level cannot be managed effectively
Solution Approach 1:
The system implements self-service battery management by automatically monitoring charge levels and adjusting operational parameters without user intervention. The embedded controller and processor work autonomously to manage power consumption, maintaining both simplicity for the user and reliability for battery sufficiency.
Data Source
AI summary
An information handling system includes a battery, an embedded controller, and a processor. The embedded controller collects a battery charge status for the battery, and provides the battery charge status to the processor. The processor also receives data indicating a current battery discharge rate. The processor determines a second battery discharge rate based on operations to be performed during a period of time. The processor also determines a needed battery charge level at a start of the period of time. Based on the battery charge status, the current battery discharge rate, the second battery discharge rate, and the needed battery charge level, the processor sets the information handling system in a state to achieve the battery charge level.