Vehicle Charge-Sharing Scheduling for Peak Station Utilization
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Solution Overview
Problem
Existing systems lack an efficient method for managing energy distribution among vehicles, particularly in optimizing charge sharing between vehicles in need and those capable of providing charge, leading to inefficiencies during peak usage periods.
Innovation Solution
A system utilizing a charging station that determines and prioritizes groups of vehicles needing charge and those capable of providing charge, employing blockchain consensus for validation and smart contracts to optimize energy transfer scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a charging station serves multiple vehicles simultaneously without prioritization, then the station can accommodate more vehicles, but the energy management efficiency deteriorates due to lack of optimization during peak periods
Solution Approach 1:
The system segments vehicles into two distinct groups: a first group needing charge and a second group capable of providing charge. This segmentation enables targeted energy management where the station coordinates charge transfer from providing vehicles to needing vehicles, optimizing energy distribution efficiency without requiring complex real-time arbitration among all vehicles
Solution Approach 2:
The system performs preliminary identification and classification of vehicles into charge-needing and charge-providing groups before energy distribution occurs. This advance categorization allows the station to pre-establish efficient charge sharing arrangements, avoiding last-minute coordination complexity during peak usage periods
2Productivity
If the charging station prioritizes charge providing vehicles to arrive earlier, then energy transfer optimization improves, but the scheduling complexity increases
Solution Approach 1:
The system prioritizes scheduling charge providing vehicles to arrive at the station before charge needing vehicles. This preliminary timing arrangement ensures that energy is available in the system before demand arrives, optimizing station utilization efficiency while minimizing waiting time through advance planning rather than reactive management
Solution Approach 2:
Charge providing vehicles are selected and prioritized based on their ability to contribute energy to the system. These vehicles effectively serve the system's energy needs first, and their early arrival is self-justifying as they provide the resource (energy) that enables subsequent charge transfers to needing vehicles
Data Source
AI summary
An example operation includes one or more of determining, by a station, a first group of transports in need of charge and a second group of transports capable of providing charge, prioritizing, by the station, at least one transport of the second group to come to the station at a time prior to when at least one transport of the first group comes to the station, receiving, at the station, a first amount of charge from the at least one transport of the second group, and providing, from the station, a second amount of charge to the at least one transport of the first group.