Geofence Induction Charging Tokens for Accurate EV Billing
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Solution Overview
Problem
Conventional methods struggle to accurately determine the power received by electric vehicles (EVs) during geofence-based induction charging, considering factors like vehicle model, battery type, travel speed, and charging mode, leading to inaccurate charging transactions and limited payment flexibility.
Innovation Solution
A geofence-based induction charging system that identifies vehicle parameters, generates entry and exit tokens, and processes charging transactions in real-time, adjusting for power consumption and self-charging rates based on travel speed, allowing flexible payment options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to determine power received by EVs during induction charging, then the charging process can proceed, but the charging transaction accuracy deteriorates due to inability to account for variable factors like vehicle model, battery type, travel speed, and charging mode
Solution Approach 1:
The system performs preliminary identification of vehicle parameters (vehicle model, battery type, charging mode) and generates entry tokens before the actual charging transaction. This preliminary action allows the system to pre-calculate expected power consumption and self-charging rates, establishing a baseline for accurate charging measurement before the EV enters the geofence charging area.
Solution Approach 2:
The system implements feedback by comparing the expected power transfer (calculated based on identified vehicle parameters) with actual power consumption and self-charging rates measured during charging. This feedback mechanism enables continuous adjustment and verification of charging transaction accuracy, accounting for variable factors like travel speed and charging mode changes.
2Measurement precision
If the system accounts for multiple charging factors (vehicle model, battery type, travel speed, charging mode) to improve charging transaction accuracy, then measurement precision improves, but the difficulty of detecting and measuring worsens
Solution Approach 1:
The system introduces an intermediary identification process that acts as a mediator between the EV and the charging transaction system. This intermediary step identifies and standardizes multiple vehicle parameters (vehicle model, battery type, charging mode) into a unified vehicle profile, making it easier to detect and measure subsequent power consumption and self-charging rates without directly dealing with the complexity of each individual parameter.
3Productivity
If real-time charging transaction processing is implemented to improve charging efficiency, then productivity improves, but the device complexity increases due to need for real-time monitoring and calculation
Solution Approach 1:
The system generates entry tokens and establishes baseline power consumption profiles before charging begins. This preliminary action pre-processes vehicle parameters and sets up calculation frameworks, enabling the real-time system to simply compare and calculate rather than process from scratch, thus improving processing speed while limiting the increase in system complexity.
4Adaptability or versatility
If the system provides flexible payment options for different EVs and charging conditions to improve adaptability, then versatility improves, but the device complexity increases
Solution Approach 1:
The system implements a universal token-based transaction framework that can handle multiple payment scenarios and EV types through a single standardized interface. The entry token system serves as a multi-functional platform that adapts to different charging conditions, vehicle parameters, and payment preferences without requiring separate specialized systems for each scenario, thus improving versatility while controlling complexity.
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 accurate, real-time charging transaction processing with flexible payment options, accommodating different EVs and charging conditions, enhancing charging efficiency and user convenience.
Implementation Method 1
Induction charging is a type of wireless charging that uses electromagnetic induction to provide electricity to electrical devices without the use of a power cord tethering the electrical device to the power supply
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for geofence-based induction charging system. An example method includes identifying an EV by validating vehicle parameters using vehicle identification circuitry and identifying a geofence charging area by comparing vehicle geolocation data with geofence area data using geofence circuitry. The example method further includes generating an entry token and an exit token for the EV using token generation circuitry, and generating a charging transaction for the EV based on the entry token and the exit token using payment transaction circuitry. The entry token comprises at least one or more of a vehicle identifier, an entry timestamp, an entry location, or an entry power level, and the exit token comprises at least one or more of the vehicle identifier, an exit timestamp, an exit location, an updated self-charging rate, an updated power consumption rate, or an exit power level.