EV Navigation via Energy-Storage Charging Pile Electricity
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Solution Overview
Problem
Electric vehicles face challenges due to short endurance mileage and inadequate charging facilities, particularly in rural areas and wilderness regions, where existing navigation systems fail to consider the electricity quantity of energy-storage charging piles, leading to inefficient waiting and energy waste.
Innovation Solution
A navigation method and system that guides electric vehicles to charging piles based on their remaining electricity and energy consumption, utilizing energy storage modules with real-time information to dynamically plan charging routes and solutions, integrating with electricity quantity navigation servers and communication modules to optimize charging efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing navigation systems guide electric vehicles to charging points without considering the electricity quantity of energy-storage charging piles, then the navigation function is simple and easy to implement, but electric vehicles may arrive at charging piles with insufficient stored electricity, causing inefficient waiting and energy waste
Solution Approach 1:
The navigation system performs preliminary queries to the electricity quantity navigation server before guiding the electric vehicle to the charging pile. The server pre-calculates and provides the stored electricity information of energy-storage charging piles, allowing the system to make informed routing decisions in advance without adding complex real-time monitoring equipment at the charging piles themselves.
Solution Approach 2:
The patent introduces an electricity quantity navigation server as an intermediary between the navigation system and the charging piles. This server acts as a mediator that collects, processes, and distributes electricity quantity information, thereby enhancing the navigation system's functionality without directly complicating the charging pile infrastructure or the vehicle's navigation hardware.
2Reliability
If electric vehicles navigate to charging piles without real-time electricity quantity information, then the navigation process is fast and simple, but vehicles may stop running without electricity on the way to charging piles
Solution Approach 1:
The navigation system implements a feedback mechanism by continuously querying the electricity quantity navigation server for real-time or near-real-time stored electricity information of charging piles along the planned route. This feedback loop allows the system to adjust the routing dynamically, ensuring that electric vehicles are guided to charging piles that currently have sufficient electricity availability, thereby preventing situations where vehicles arrive at empty charging piles.
Solution Approach 2:
The system performs preliminary charging planning by pre-querying the electricity quantity navigation server for the stored electricity information of charging piles before finalizing the navigation route. This preliminary action ensures that the planned route includes only charging piles with adequate electricity availability, preventing vehicles from traveling to locations where they cannot charge.
3Productivity
If the navigation system does not consider the stored electricity of energy-storage charging piles, then the system is simple to operate, but energy idleness and waste occur due to inefficient charging pile utilization
Solution Approach 1:
The electricity quantity navigation server automatically performs the complex task of evaluating charging pile availability and optimizing routing decisions. Instead of requiring users to manually check the status of multiple charging piles or understand complex charging availability metrics, the system autonomously queries the server, processes the information, and presents users with optimized routes to charging piles that are guaranteed to have sufficient electricity, thereby improving utilization efficiency while maintaining operational simplicity.
Solution Approach 2:
The electricity quantity navigation server serves as an intermediary that handles the complex analysis of charging pile utilization and routing optimization. It collects data from multiple charging piles, evaluates their stored electricity levels, and provides processed recommendations to the navigation system. This intermediary approach allows the system to achieve high charging pile utilization efficiency without burdening the user interface with complex operations or decision-making processes.
Data Source
AI summary
The present invention discloses a navigation method for electric vehicles based on electricity quantity guidance of energy-storage charging piles. The electric vehicles select charging piles nearby that can meet own charging quantity demands to charge according to location information of charging piles and real-time stored electricity information of energy storage modules of the charging piles; a system using the method includes the charging piles. The navigation method and system can reasonably guide the electric vehicles to charge according to the distribution and the stored electricity of the charging piles, and can dynamically plan travel charging solutions for the electric vehicles, thereby avoiding problems that the electric vehicles stop running without electricity on the way to the charging piles and inefficiently wait for charging for a long time, so that the stored electricity of the charging piles can be reasonably distributed and utilized, and energy idleness and waste are avoided.