Gaming Controller Power States for Battery Life and Quick Resume
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Solution Overview
Problem
Power consumption in gaming controllers varies significantly based on game type and user habits, leading to inefficient battery life due to intensive games and neglecting to power off after sessions.
Innovation Solution
A smart power saving mechanism in the information handling system adjusts power management settings of gaming controllers based on user profiles and usage data, including telemetry from sensors and gameplay characteristics, to optimize battery life without compromising the gaming experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If advanced features (adaptive feedback controls, haptic vibration) are enabled to enhance gaming experience, then user experience is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts power management settings based on real-time monitoring of usage patterns, game type, and user behavior. The controller transitions between different power states (active, standby, sleep) and dynamically enables/disables features like haptic vibration and adaptive feedback based on current gaming context, resolving the contradiction between maintaining gaming experience and reducing power consumption.
Solution Approach 2:
The system changes operational parameters such as vibration intensity, feedback frequency, and component activation thresholds based on game type and user preferences. By adjusting these parameters dynamically rather than maintaining fixed high-performance settings, the system reduces power consumption while preserving the essential gaming experience.
2Speed
If the controller remains powered on to accommodate user habits and quick resume gameplay, then gaming responsiveness is improved, but battery life decreases
Solution Approach 1:
The system performs preliminary actions by maintaining a lightweight standby mode with essential functions active (such as motion sensing and basic input recognition) while disabling power-intensive components. This allows the controller to resume gameplay quickly without fully remaining powered on, balancing responsiveness with battery conservation.
Solution Approach 2:
The controller autonomously monitors its own usage patterns and game state to determine when to transition between power states. By self-managing power consumption based on detected inactivity periods and game requirements, the system optimizes battery life without compromising user-initiated gameplay resumption.
3Use of energy by moving object
If power management settings are manually adjusted to save battery, then power consumption is reduced, but user convenience deteriorates
Solution Approach 1:
The system automatically monitors usage patterns, game type, and controller state to dynamically adjust power management settings without user intervention. It self-determines when to enable/disable features like haptic feedback, adaptive triggers, and vibration based on current gaming context, eliminating the need for manual user configuration while optimizing power consumption.
Solution Approach 2:
The system continuously monitors usage data and game state feedback to automatically adjust power settings. By implementing closed-loop feedback where the system observes usage patterns and autonomously optimizes power consumption accordingly, it removes the burden of manual adjustment from the user while achieving energy efficiency.
4Use of energy by moving object
If all components are continuously monitored and controlled, then power optimization is improved, but device complexity increases
Solution Approach 1:
The system segments components into different power management groups (critical, optional, non-essential) and applies differentiated monitoring and control strategies to each. Rather than continuously monitoring all components equally, it focuses monitoring resources on critical functions while using simpler control mechanisms for less important components, reducing overall system complexity while maintaining effective power optimization.
Data Source
AI summary
A user profile may be used to adjust one or more system power management settings of an information handling system. An information handling system may transmit one or more user profile credentials. The information handling system may receive user profile data and may compare the user profile data with one or more system characteristics of the information handling system. Based on the comparison of the user profile data with the system characteristics of the information handling system, the information handling system may adjust one or more power management settings of the information handling system.


