IoT Parking Coordination for Autonomous Charging and Battery Swapping
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Solution Overview
Problem
The development of autonomous driving technology is hindered by immature vehicle intelligence and lagging supporting infrastructure, particularly in new energy vehicle charging and battery swapping facilities, leading to inefficiencies and conflicts due to a lack of real-time comprehensive parking lot data for intelligent vehicles.
Innovation Solution
An IoT-based intelligent parking management system that connects autonomous vehicles, mobile terminals, and parking lot management systems through real-time data collection and analysis, enabling reservation and navigation services for functional parking spaces, including automatic charging piles and battery swapping stations, using sensors like cameras and radars for environment and vehicle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving technology is developed without comprehensive parking lot data integration, then vehicle intelligence can be improved independently, but the matching between vehicle functional requirements and parking lot services deteriorates
Solution Approach 1:
The parking lot management system is transformed into a multi-functional intelligent platform that serves both traditional parking management and autonomous vehicle coordination. The system integrates multiple functions including real-time data collection from sensors, vehicle navigation guidance, charging pile reservation, battery swapping station management, and queue optimization, making it universally applicable to various autonomous vehicle services.
Solution Approach 2:
A dedicated communication module is introduced as an intermediary between the autonomous vehicle and parking lot management system. This module enables bidirectional data exchange, allowing the vehicle to receive real-time parking lot status information and send service requests, while the management system receives vehicle status data and provides coordinated control signals, thus achieving seamless integration.
2Quantity of substance
If charging piles and battery swapping stations are added to meet new energy vehicle demand, then vehicle support capability is improved, but system complexity and queue management difficulty increase during peak periods
Solution Approach 1:
The system implements preliminary reservation functionality where users can book charging piles and battery swapping stations in advance through mobile terminals. The management system pre-allocates these resources based on predicted demand and vehicle arrival times, allowing users to reserve services before arriving at the parking lot, thereby reducing on-site waiting and queue management complexity.
Solution Approach 2:
Real-time feedback mechanisms are established between the management system, charging piles, and battery swapping stations. The system continuously monitors the status of these facilities (available, in use, malfunctioning) and provides real-time updates to users through mobile terminals. This feedback loop enables dynamic queue management and allows users to adjust their plans based on current availability, reducing unnecessary waiting.
3Measurement precision
If real-time data collection from parking lot sensors is implemented, then information accuracy is improved, but data processing load and system complexity increase
Solution Approach 1:
The data collection system is segmented into multiple independent sensor nodes distributed throughout the parking lot, each responsible for collecting specific local data (vehicle presence, charging status, swapping status). These segmented data streams are then aggregated and processed by the central management system, reducing the complexity burden on any single component while maintaining comprehensive data accuracy.
4Productivity
If autonomous vehicle navigation to functional parking spaces is automated, then service efficiency is improved, but control system complexity increases
Solution Approach 1:
The autonomous vehicle is equipped with self-service navigation capability where the vehicle's own autonomous driving controller receives guidance information from the parking lot management system and autonomously executes the navigation to the designated functional parking space (charging pile or battery swapping station). The vehicle independently processes path planning and obstacle avoidance without requiring external real-time control, reducing the complexity of the external control system while maintaining high service efficiency.
Data Source
AI summary
The present invention provides an IoT-based intelligent parking management system, including: a parking lot management system, an autonomous vehicle, and a handheld mobile terminal that are communicationally connected to each other; the parking lot management system includes a parking lot hardware perception layer and a parking lot server, where the parking lot hardware perception layer includes a terminal node and an information transmission module deployed in a parking lot; the autonomous vehicle includes an autonomous driving controller and an information transmission module, where the autonomous driving controller receives communication data from the parking lot server or the handheld mobile terminal through the information transmission module and generates control signals that control actions of a vehicle drive system; and the handheld mobile terminal is provided with a human-machine interaction interface.