Vehicle-to-Vehicle Wireless Energy Transfer for Route Continuity
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Solution Overview
Problem
Current transportation systems lack efficient methods for vehicles to dynamically manage energy transfer while in motion, particularly when one vehicle is running low on energy and needs to reach a destination without stopping to recharge, especially considering factors like weather, traffic, and road conditions.
Innovation Solution
A system where a server determines the location where a vehicle will run out of energy and coordinates with another vehicle to wirelessly transfer energy at an intermediate location, ensuring the receiving vehicle has enough energy to reach its destination, using blockchain technology for secure and decentralized data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a vehicle runs out of energy and stops to recharge, then energy management is simple, but transportation continuity and productivity are disrupted
Solution Approach 1:
The system performs preliminary actions by predicting future energy depletion locations and coordinating energy transfer arrangements before the vehicle actually runs out of energy. The server determines where the first transport will run out of energy and arranges for a second transport to provide energy at an intermediate location, preventing service interruption rather than reacting after failure occurs.
Solution Approach 2:
A server acts as an intermediary to coordinate the energy transfer between transports. The server receives energy consumption data, determines depletion locations, calculates required energy amounts, and instructs the second transport to provide energy wirelessly to the first transport, enabling seamless energy replenishment without direct vehicle-to-vehicle negotiation.
2Productivity
If wireless energy transfer between moving vehicles is implemented, then transportation continuity is maintained, but system complexity and coordination requirements increase
Solution Approach 1:
The server serves as a central intermediary that manages the complexity of coordinating wireless energy transfer between moving vehicles. It processes energy consumption data, determines optimal transfer locations, calculates energy requirements, and provides clear instructions to both transports, centralizing the coordination logic and reducing the burden on individual vehicle systems.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring energy consumption data from the first transport and adjusting the energy transfer plan accordingly. The server receives updates on the first transport's energy status and location, and modifies the second transport's energy provision instructions to ensure accurate energy delivery at the predicted depletion point.
3Reliability
If energy transfer is coordinated in advance, then energy supply reliability is improved, but response time to actual energy needs may be delayed
Solution Approach 1:
The system performs preliminary energy transfer arrangements by predicting where the first transport will run out of energy based on current consumption rates and route information. This allows the second transport to prepare and position itself in advance, ensuring reliable energy supply without delaying the actual energy transfer until the vehicle is already depleted.
Solution Approach 2:
The energy transfer plan is dynamic and adaptable. The server continuously monitors the first transport's energy consumption and location, adjusting the predicted depletion point and required energy amount in real-time. This dynamic adjustment ensures that the preliminary arrangements remain accurate and relevant as conditions change during the vehicle's journey.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables vehicles to continue their journeys without interruption by optimizing energy transfer based on real-time conditions, ensuring efficient and secure energy management through decentralized data handling.
Implementation Method 1
determine a first amount of energy needed by a second transport to maneuver to the first transport at an intermediate location prior to the location and to wirelessly provide a second amount of energy to the first transport
Data Source
AI summary
An example operation may include one or more of determining, by a server, a location where a first transport will run out of energy, determining, by the server, an optimal intermediate location for energy transfer that is located prior to the location where the transport will run out of energy based on current traffic patterns, determining, by the server, a first amount of energy needed by a second transport to maneuver to the optimal intermediate location and to wirelessly provide a second amount of energy to the first transport, and instructing, by the server, the first and second transports to wirelessly provide the second amount of energy at the intermediate location.