Energy Storage Recharging Control for Energy-Negative States
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Solution Overview
Problem
Existing systems fail to efficiently manage energy distribution in vehicles and locations based on real-time energy usage, leading to energy-negative states where energy consumption exceeds storage capacity, resulting in inefficient energy utilization and potential depletion of energy reserves.
Innovation Solution
A system and method that utilizes sensors to monitor energy usage, determines energy-negative states, and recharges energy storage devices commensurate with energy consumption patterns, prioritizing essential devices and optimizing energy distribution through AI models and blockchain technology for secure authorization and data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If energy storage devices are used to power locations, then energy autonomy is improved, but energy reserves may be depleted when usage exceeds storage capacity
Solution Approach 1:
The system continuously monitors energy usage at the location and compares it against available energy reserves. When energy consumption exceeds a threshold or depletes reserves, the system receives feedback and automatically initiates recharging operations to restore energy balance, thereby maintaining reliability while preventing depletion.
Solution Approach 2:
The system performs preliminary recharging actions before complete energy depletion occurs by monitoring energy levels and initiating recharge operations when thresholds are approached. This proactive approach ensures energy reserves are restored before critical depletion happens, maintaining system reliability.
2Productivity
If real-time energy monitoring is implemented, then energy management efficiency is improved, but system complexity increases
Solution Approach 1:
The energy management system automatically monitors its own energy usage, detects when recharging is needed, and initiates recharging operations without external intervention. This self-service approach improves energy management efficiency while minimizing the need for complex external monitoring infrastructure.
Solution Approach 2:
The system integrates multiple functions including energy monitoring, threshold comparison, recharge decision-making, and recharge execution into a unified energy management platform. This multi-functionality approach consolidates complexity into a single system rather than requiring separate specialized components for each function.
3Reliability
If energy storage devices are recharged frequently, then energy availability is improved, but energy loss during charging increases
Solution Approach 1:
The system dynamically adjusts recharging parameters such as threshold levels and recharge timing based on energy usage patterns and availability conditions. By optimizing these parameters, the system ensures energy availability is maintained while minimizing unnecessary recharging operations that would result in energy loss.
Data Source
AI summary
An example operation includes at least one of receiving, from at least one sensor at a location, data related to energy usage at the location, determining an energy-negative state exists at the location at a first period of time based on the data indicating energy usage at the location is greater than a threshold of energy provided from at least one energy storage device at the location, and recharging the at least one energy storage device at a second period of time commensurate with the energy usage at the location.