Autonomous EV Charging Command System for Station Navigation
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Solution Overview
Problem
Current charging methods for autonomous electric vehicles lack efficient and user-friendly control mechanisms for navigating and charging at optimal stations, leading to inconvenience and suboptimal utilization of charging infrastructure.
Innovation Solution
A charging method that includes command delivery for approaching or departing from charging stations, selection of suitable stations based on proximity and price, and automated charging processes, ensuring seamless reconciliation with customers and enhanced comfort through autonomous vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated charging control is implemented for autonomous vehicles, then charging efficiency and infrastructure utilization are improved, but system complexity increases
Solution Approach 1:
The system enables autonomous vehicles to automatically navigate to charging stations, initiate charging, and return without human intervention. The vehicle independently manages its charging process by receiving commands from a control server, thereby improving charging efficiency while the automation handles the complexity internally
Solution Approach 2:
A control server acts as an intermediary between charging stations and autonomous vehicles, coordinating charging schedules, routing, and station selection. This centralizes control logic, improving overall system efficiency while managing complexity at the server level rather than in individual vehicles
2Adaptability or versatility
If multiple charging stations are available for selection, then charging options and adaptability are improved, but decision-making complexity increases
Solution Approach 1:
The control server receives real-time information about vehicle location, battery status, and charging station availability, then dynamically selects optimal charging stations. This feedback loop enables adaptive decision-making that considers multiple factors without requiring complex onboard processing in the vehicle
Solution Approach 2:
The system pre-calculates optimal charging station selections and routes based on current vehicle status and infrastructure data. By making decisions in advance rather than in real-time during charging, the system provides multiple adaptable options while simplifying the decision-making process
3Reliability
If user consent is required for command delivery, then user control and safety are improved, but operational time increases
Solution Approach 1:
User consent is obtained in advance for charging commands and autonomous navigation. By securing authorization before operations begin, the system ensures user control and safety while avoiding repeated consent requests during the charging process, thereby minimizing time loss
Data Source
AI summary
A charging method (10) for an electrically operated motor vehicle (30) designed for autonomous driving is provided, in which, in a first exercise, the motor vehicle (30) is charged in a charging procedure (22) within a time window at a charging station (4). According to the invention, the motor vehicle (30) is commanded in an approach command delivery (19) to approach (6) the charging station (4) or in a departure command delivery (24) to depart (7) from the charging station (4). Moreover, a motor vehicle (30) is claimed.


