Charging Station Prioritization for Vehicle-to-Vehicle Power Allocation
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Solution Overview
Problem
Current transportation systems lack efficient methods for optimizing energy transfer between vehicles and charging stations, leading to inefficiencies in energy distribution and utilization.
Innovation Solution
A method and system that determines and prioritizes groups of vehicles in need of charge and those capable of providing charge, allowing for optimized energy allocation through a charging station that uses blockchain technology for secure and decentralized data management and smart contracts for automated energy transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a charging station serves multiple transports simultaneously without prioritization, then the station can accommodate more transports, but energy distribution efficiency deteriorates due to lack of optimization
Solution Approach 1:
The charging station determines and prioritizes groups of transports before charging begins. The processor identifies which transports need charge and which can provide charge, establishing a priority order in advance. This preliminary classification and prioritization enables optimized energy distribution without requiring complex real-time decision-making during the charging process.
2Productivity
If transports arrive at the charging station without prioritization, then arrival coordination is simpler, but energy utilization deteriorates due to mismatched charge needs and availability
Solution Approach 1:
The system prioritizes transports before they arrive at the charging station. By determining which transports need charge and which can provide charge in advance, and establishing their priority order beforehand, the system ensures that when transports arrive, the charging process can begin immediately with optimized energy matching, minimizing delays and maximizing utilization.
Solution Approach 2:
The charging station receives information from transports about their charge needs and capabilities, processes this information to determine priority groups, and uses this feedback to optimize the charging sequence and energy distribution. This closed-loop feedback mechanism ensures continuous optimization of energy utilization based on actual transport requirements.
3Extent of automation
If the charging station manages charge transactions manually, then system complexity is reduced, but transaction speed and automation level deteriorate
Solution Approach 1:
The charging station uses smart contracts to enable automated charge transactions between transports. The system automatically determines charge amounts, executes energy transfers, and records transactions on a blockchain without human intervention. This self-service automation handles the entire charging process including payment and accounting, significantly increasing automation extent despite the added system complexity.
Solution Approach 2:
The blockchain and smart contract system act as an intermediary layer between transports and the charging station. This intermediary automatically manages the complex transaction logic, ensuring secure and transparent charge exchanges while reducing the need for manual intervention. The intermediary handles the complexity of automated transactions, allowing the charging station to operate efficiently with high automation.
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.