Schedule-Based Energy Storage Selection for Heterogeneous Batteries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile computing devices face challenges in efficiently managing power to extend battery life without compromising performance, as existing power management strategies often fail to strike a balance between performance and battery life, leading to user dissatisfaction.
Innovation Solution
A schedule-based energy storage device selection system predicts usage behavior and energy needs over time, distributing power workload across heterogeneous energy storage devices to optimize energy usage, preserving energy in efficient devices for when it is needed most.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If power management strategies are applied to control processor and battery utilization, then battery life is extended, but device performance deteriorates
Solution Approach 1:
The system dynamically adjusts the power ratio between heterogeneous energy storage devices based on predicted future energy needs. The power management approach transitions from static to dynamic, where the distribution of power workload changes over time according to predicted usage patterns, allowing the system to optimize both battery life and performance at different time points
Solution Approach 2:
The system performs preliminary prediction of future energy consumption based on scheduled events and usage patterns. By anticipating future energy needs before they occur, the system can proactively adjust power distribution to preserve battery life during low-demand periods while ensuring sufficient power availability for predicted high-demand tasks
2Duration of action of moving object
If power management strategies are applied to control processor and battery utilization, then battery life is extended, but user satisfaction deteriorates
Solution Approach 1:
The power management system operates autonomously by automatically predicting future energy needs and adjusting power distribution without requiring user intervention. The system serves itself by making intelligent decisions about power allocation based on scheduled events and usage patterns, eliminating the need for users to manually manage power settings while still achieving extended battery life and maintaining performance
3Use of energy by moving object
If heterogeneous energy storage devices are used with schedule-based selection, then power usage efficiency is enhanced, but device complexity increases
Solution Approach 1:
The power management system implements a universal control mechanism that handles multiple heterogeneous energy storage devices through a single integrated approach. The same prediction and power ratio adjustment logic applies regardless of the number or type of energy storage devices, providing multi-functionality that manages diverse devices without proportionally increasing system complexity
Data Source
AI summary
Schedule-based energy storage device selection is described for a device having an energy storage device system with heterogeneous energy storage devices, such as heterogeneous battery cells. The techniques discussed herein use information regarding a user's schedule (e.g., the user's calendar) to predict future workload patterns for a computing device and reserve energy storage device capacities across multiple heterogeneous energy storage devices to improve efficiency of the energy storage devices. For example, if a user is expected to attend a video conference call later in the day (e.g., due to the video conference call being on the user's calendar), then energy in an energy storage device that is better capable of handling such a workload (providing power during the video conference call) more efficiently is preserved so that the energy is available when the video conference call occurs.