EVSE Vehicle Proximity Detection Using Multi-Sensor Fusion
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Solution Overview
Problem
Current electric vehicle supply equipment lacks an efficient method for detecting vehicle proximity, which is essential for secure and convenient charging operations.
Innovation Solution
The system employs sensors, such as ranging, imaging, and magnetic sensors, coupled with a computing processor to detect vehicle presence and generate alerts, including audible and visual notifications, and authenticate the vehicle and driver through an authentication interface, facilitating secure charging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle proximity detection is implemented using sensors and processing systems, then charging security and convenience are improved, but device complexity increases
Solution Approach 1:
The vehicle detection system is segmented into multiple independent sensor types (magnetic sensors, imaging sensors, ranging sensors) that can detect different aspects of vehicle presence. This segmentation allows the system to achieve reliable detection through multiple independent channels while keeping each individual sensor component relatively simple and manageable.
Solution Approach 2:
The sensor system is designed with multi-functionality to perform various detection tasks (magnetic field detection, visual recognition, distance measurement) using a unified detection framework. This universal approach improves reliability through diverse detection capabilities while avoiding the need for separate specialized systems for each function, thereby controlling overall complexity.
2Measurement precision
If multiple sensor types are used for vehicle detection, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
Multiple sensor types (magnetic sensors, imaging sensors, ranging sensors) are merged into a unified vehicle detection system that processes information from all sensors collectively. This combination improves detection accuracy by cross-validating signals from different sensor modalities while integrating them through a single processing architecture, thereby managing complexity through unified processing rather than separate independent systems.
Solution Approach 2:
The computing processor acts as an intermediary that receives and processes signals from multiple diverse sensor types. It standardizes the data from different sensor modalities (magnetic fields, images, distance measurements) into a unified detection decision, improving accuracy through multi-source validation while simplifying the overall system architecture by providing a central coordination point.
3Ease of operation
If real-time vehicle detection and alert generation are implemented, then charging convenience is improved, but energy consumption increases
Solution Approach 1:
The sensor system operates using periodic scanning and intermittent detection rather than continuous monitoring. The computing processor periodically processes sensor data and generates alerts when vehicle presence is detected, providing real-time convenience while reducing energy consumption by keeping sensors in lower-power states between detection cycles.
Solution Approach 2:
The system automatically detects vehicle presence and generates alerts without requiring manual activation or continuous user interaction. The computing processor autonomously processes sensor signals and triggers notifications, improving charging convenience through automated operation while minimizing energy consumption by activating full processing power only when detection is required.
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 solution enables efficient detection of vehicle proximity, secure authentication, and streamlined charging processes by providing timely alerts and ensuring legitimate transactions, enhancing the overall charging experience and security.
Implementation Method 1
detecting, via a sensor, a presence of a vehicle within a predetermined distance of the EVSE
Implementation Method 2
employing magnetic sensors
Implementation Method 3
determining, by at least one computing processor coupled to the sensor, that the vehicle is in proximity of the EVSE
Data Source
AI summary
A system and method is provided for detecting vehicle proximity in an electric vehicle supply equipment (EVSE). A sensor may be configured to detect a presence of a vehicle within a predetermined distance of the EVSE. A processor may be configured to determine that the vehicle is in proximity of the EVSE in response to the sensor detecting the presence of the vehicle. The processor may be further configured to generate an alert in response to a determination that the vehicle is in proximity of the EVSE.