Fleet Battery Power Tracking via Centralized Server Analysis
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Solution Overview
Problem
The environmental impact of battery consumption and disposal by mobile devices is often evaluated qualitatively, making it difficult to determine an organization's environmental standing in terms of ESG metrics.
Innovation Solution
A method that involves receiving power consumption and usage information of mobile devices over time, analyzing this data to identify attributes of excess power usage, applying mitigations to reduce power usage, and determining metrics indicative of power conservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If battery consumption is tracked and mitigated through multiple settings and parameters, then power usage is reduced and battery life is extended, but device complexity and measurement difficulty increase
Solution Approach 1:
The patent introduces a server as an intermediary component that receives, processes, and analyzes power consumption data from multiple devices. The server performs the complex calculations and mitigation strategy development centrally, rather than requiring complex processing in each individual device. This mediator approach allows extended battery life through sophisticated analysis while keeping individual device complexity low.
Solution Approach 2:
The patent replaces complex local mechanical/computational systems with a centralized data processing approach. Instead of each device having complex onboard systems to track and optimize power consumption across multiple parameters, the system substitutes this with a server-based processing model that receives data packets and performs centralized analysis, simplifying the device architecture while achieving comprehensive power management.
2Measurement precision
If comprehensive power consumption data is collected and analyzed, then quantitative ESG metrics are achieved and environmental impact is measured, but data processing complexity and time requirements increase
Solution Approach 1:
The patent implements preliminary action by having devices continuously collect and pre-process power consumption data in the background, organizing it into structured data packets before submission to the server. This preliminary data preparation reduces the processing time required when ESG metrics need to be calculated, as the data is already organized and ready for analysis rather than requiring raw data processing at metric generation time.
Solution Approach 2:
The patent uses copying by creating standardized data packet templates that are replicated across multiple devices. Each device follows the same data collection and formatting protocol, creating consistent copies of data structures that can be efficiently processed in bulk by the server. This standardization enables parallel processing and reduces overall data processing time while maintaining precise measurement capabilities.
Data Source
AI summary
Systems and methods for tracking and controlling battery consumption in fleets of electronic devices powered by batteries are disclosed herein. An example method includes receiving power consumption and usage information of a device over a duration of time; determining a first power usage value of the device based on the power consumption and usage information over the duration; analyzing the power consumption and usage information to determine an attribute associated with excess power usage of the device over the duration; identifying and applying a mitigation to address the attribute and to decrease the first power usage value over the duration; determining a second power usage value of the device based on the implemented mitigation over the duration; determining a difference between the first and second power usage values over the duration; and determining at least one metric indicative of power conservation over the duration based on the determined difference.