EV Wireless Charging Prioritization via Risk Scores
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless charging technologies for electric vehicles on roadways face challenges during traffic congestion, as all vehicles are constantly charged, leading to a surge in power grid demand without adequate charging regulation, necessitating a method to prioritize which vehicles receive a battery charge.
Innovation Solution
A system that communicates risk scores between electric vehicles on a roadway using a wireless communication network, comparing data metrics to prioritize which vehicles need a battery charge based on a charging regulation model, and engages wireless charging points accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless charging is provided to all electric vehicles on the roadway during traffic congestion, then all vehicles can be charged, but the power grid experiences a surge in demand
Solution Approach 1:
The patent applies local quality by providing charging services selectively to specific vehicles based on their individual risk scores rather than uniformly to all vehicles. The system identifies and charges only those vehicles with high risk scores (above threshold) at particular locations along the roadway, creating localized charging zones rather than widespread charging. This selective approach reduces overall power grid demand while ensuring charging availability for vehicles that truly need it.
Solution Approach 2:
The system dynamically changes the charging parameter by using risk scores to determine which vehicles receive charging. Instead of a static policy of charging all vehicles, the system continuously evaluates and adjusts charging decisions based on real-time risk assessments. This parameter-based selection (risk score threshold) allows the system to adapt charging provision to actual needs, reducing unnecessary power consumption while maintaining reliability for high-risk vehicles.
2Productivity
If wireless charging points are engaged with multiple electric vehicles simultaneously, then more vehicles receive charge, but the complexity of managing charging distribution increases
Solution Approach 1:
The patent simplifies charging management by introducing a clear parameter-based decision rule: vehicles with risk scores above a predetermined threshold receive charging, while those below the threshold do not. This single parameter (risk score threshold) provides a straightforward criterion for charging eligibility, making the management system less complex. The system can efficiently process multiple vehicles by simply comparing their risk scores against the threshold without requiring complex optimization algorithms or manual intervention.
Solution Approach 2:
The system enables a form of self-service by allowing vehicles to communicate their charging needs through risk score transmission. Vehicles that require charging automatically present their high risk scores to the system, which then engages charging points accordingly. This reduces the complexity of centralized management as the system responds automatically to vehicle signals rather than requiring active management decisions for each vehicle.
3Use of energy by stationary object
If charging regulation is implemented to prioritize specific vehicles, then power grid strain is reduced, but the system complexity increases due to risk score communication and evaluation
Solution Approach 1:
The patent implements partial action by applying charging regulation only to the extent necessary - specifically to vehicles with risk scores above the threshold. Rather than regulating all charging uniformly or implementing complex multi-level regulation, the system applies a simple binary rule: charge high-risk vehicles, don't charge low-risk vehicles. This partial regulation approach reduces power grid strain effectively while keeping the regulation system itself relatively simple, avoiding excessive complexity.
Solution Approach 2:
The charging regulation system relies on a single key parameter - the risk score threshold - to determine charging eligibility. This parameter-based approach simplifies the regulation mechanism compared to more complex systems that might consider multiple factors simultaneously. By focusing regulation decisions on one primary parameter (risk score comparison against threshold), the system achieves effective power grid load management without requiring complex multi-parameter evaluation or sophisticated control algorithms.
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
This approach effectively prioritizes battery charging for electric vehicles in need, reducing the strain on the power grid during traffic congestion by ensuring only necessary vehicles are charged, thereby alleviating potential power grid surges.
Implementation Method 1
engaging one or more wireless charging points on the section of the roadway, with the one or more EVs
Data Source
AI summary
A computer-implemented method for prioritizing one or more electric vehicles that need a battery charge while driving. The method receives a wireless communication between one or more electric vehicles on a section of the roadway. The method further communicates a risk score between the one or more electric vehicles, based on a charging regulation model. The method further prioritizes a need for a battery charge, for the one or more electric vehicles on the section of the roadway, based on the communicated risk score. The method further engages one or more wireless charging points on the section of the roadway, with the one or more electric vehicles, based on the prioritized need for a battery charge.