Autonomous Vehicle Parking and Refueling Coordination
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Solution Overview
Problem
Conventional self-parking mechanisms for vehicles are limited to simple maneuvers and lack the capability to perform complex parking and refueling tasks autonomously, while alternative fuel vehicles face challenges with slow adoption due to the scarcity and inefficiency of refueling stations.
Innovation Solution
The development of an autonomous vehicle system that includes an independent parking controller capable of learning and storing vehicular drive parameters to navigate and park in customized orientations, and a coordination platform for optimizing fuel replenishment, enabling driverless parking and refueling through preprogrammed paths and real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional self-parking mechanisms are used, then simple parking maneuvers can be performed, but complex parking and refueling tasks cannot be performed autonomously
Solution Approach 1:
The autonomous vehicle system integrates multiple functions including parking control, refueling coordination, and navigation into a single unified platform. The autonomy controller can perform both simple parking maneuvers and complex refueling operations, making the system versatile enough to handle various autonomous tasks without requiring separate dedicated systems for each function.
Solution Approach 2:
The system uses preprogrammed paths and预先 learned vehicular drive parameters to prepare for parking and refueling operations. By capturing and storing drive parameters during initial operations, the system can automatically execute complex maneuvers without real-time human intervention, enabling autonomous performance of tasks that were previously too complex for automated systems.
2Productivity
If alternative fuel stations are built to service electric vehicles, then refueling capability is provided, but construction cost and time increase
Solution Approach 1:
The autonomous vehicle system enables self-service refueling by automatically navigating to fueling stations, coordinating with station systems, and executing refueling operations without human assistance. This reduces the burden on physical station infrastructure and allows the system to efficiently utilize existing stations, thereby increasing effective service capability without proportionally increasing construction requirements.
Solution Approach 2:
The coordination platform implements feedback mechanisms to monitor station availability, queue status, and refueling completion. This real-time information allows the system to optimize station selection and timing, reducing wait times and improving overall refueling productivity without requiring additional station construction.
3Use of energy by moving object
If electric vehicles require multiple hours to fully recharge a battery, then alternative fuel technology is provided, but availability and coordination difficulty increase
Solution Approach 1:
The system performs preliminary actions by predicting energy requirements based on planned routes and automatically scheduling refueling operations in advance. The coordination platform pre-coordinates with fueling stations to reserve time slots and prepare equipment, eliminating the need for complex real-time coordination during actual refueling operations.
Solution Approach 2:
The autonomous vehicle system handles all refueling coordination tasks automatically, including station selection, timing optimization, and operation execution. This self-service capability transforms refueling from a complex coordination task requiring human intervention into an automated routine operation, significantly improving ease of operation despite the time-intensive nature of battery recharging.
4Loss of information
If conventional charging stations are networked to provide usage indications, then station status information is provided, but logic efficiency and timeliness of refueling are suboptimal
Solution Approach 1:
The coordination platform implements enhanced feedback mechanisms that go beyond simple status indications. It continuously monitors station availability, queue lengths, and refueling progress, using this real-time data to dynamically adjust refueling schedules and optimize timing. This sophisticated feedback system ensures both complete information availability and maximized refueling productivity.
Solution Approach 2:
The system uses historical data and predictive algorithms to perform preliminary assessments of station performance and availability patterns. By anticipating future station status based on learned patterns, the system can proactively schedule refueling operations at optimal times, improving both information utilization and refueling timeliness without waiting for real-time status updates.
Data Source
AI summary
Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate complex parking maneuvers and autonomous fuel replenishment. In some examples, a method may include computing vehicular drive parameters, accessing map data to identify a boundary, detecting an autonomous vehicle, accessing executable instructions to facilitate vectoring of an autonomous vehicle, and applying vehicular drive parameters to propel the autonomous vehicle to a termination point.