AVDS Charging Dispatch Timing for Autonomous Valet Vehicles
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Solution Overview
Problem
Current automated valet driving systems (AVDS) lack an efficient method for determining the optimal time to send a vehicle to an electric vehicle charging station, considering the charging completion time of the previous vehicle, which can lead to inefficiencies in charging services.
Innovation Solution
The AVDS calculates a traveling start time for the subject vehicle based on the expected charging completion time of a vehicle at a target charging station, taking into account information such as charging time, rate, type, and usage data. This allows the AVDS to determine the target charging station and adjust the start time to optimize the charging process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the AVDS sends the vehicle to the charging station immediately, then the vehicle can start charging earlier, but the charging station may not be available when the vehicle arrives
Solution Approach 1:
The AVDS performs preliminary actions by calculating the traveling start time based on expected charging completion time of the previous vehicle, charging time information, and charging rate information. This allows the system to plan the vehicle's departure in advance to ensure the charging station will be available when needed, rather than simply sending the vehicle immediately or waiting passively.
Solution Approach 2:
The system uses feedback from charging station information (charging time, charging rate, expected completion time) to dynamically adjust the traveling start time calculation. This feedback mechanism allows the AVDS to optimize the departure time based on real-time or predicted charging station status, ensuring both timely arrival and station availability.
2Productivity
If the AVDS calculates traveling start time based on expected charging completion time, then charging service efficiency is improved, but system complexity increases
Solution Approach 1:
The AVDS performs self-service by autonomously calculating the optimal traveling start time using its own processing capabilities and available information (charging time, charging rate, expected completion time). The system does not require external complex coordination or manual intervention,而是 independently determines the optimal departure time to maximize charging service efficiency.
Solution Approach 2:
The system changes parameters (traveling start time) based on calculations involving expected charging completion time, charging time information, and charging rate information. By dynamically adjusting this temporal parameter, the AVDS optimizes charging service efficiency without requiring fundamental changes to the charging infrastructure or system architecture.
3Reliability
If the vehicle arrives at the charging station before charging is complete, then the vehicle can wait in parking area, but the overall charging process time increases
Solution Approach 1:
The AVDS performs preliminary calculation of the traveling start time to ensure the vehicle arrives at the charging station precisely when the previous vehicle completes charging. This prevents both early arrival (which would cause waiting time) and late arrival (which would cause unavailability), optimizing the total charging process time while ensuring reliability.
Data Source
AI summary
A processor-implemented method including identifying a subject vehicle (SV), performing a check-in for the SV, and performing an autonomous vehicle operation for the SV by an automated valet driving system (AVDS).