EV Charging Route Planning With Partial Charging Stops
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Solution Overview
Problem
Existing navigation systems for electric vehicles do not consider the necessary electric power to reach the next charging facility, leading to cumbersome user interactions and prolonged charging times at each facility.
Innovation Solution
A charging management apparatus and navigation system that calculates necessary charging times and proposes a route with optimal charging facilities and staying times, considering battery capacity and power consumption, to ensure efficient battery charging without overcharging or overdischarging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the navigation system requires full charging at each charging facility, then the battery capacity is ensured to be sufficient, but the charging time and user inconvenience increase
Solution Approach 1:
The system calculates and implements partial charging (charging only to the necessary level required to reach the next charging facility) rather than requiring full charging at each stop. This reduces charging time while ensuring the battery has sufficient capacity to reach the next facility, resolving the contradiction between reliability and time loss.
2Device complexity
If the navigation system does not calculate necessary charging time, then the system complexity is reduced, but the charging plan optimization and user convenience deteriorate
Solution Approach 1:
The navigation system automatically calculates the necessary charging time required to reach the next charging facility and incorporates this into the route plan without requiring manual user input. The system performs self-service by autonomously optimizing the charging plan, maintaining low complexity while improving ease of operation.
3Productivity
If the navigation system optimizes charging stops by calculating necessary charging time, then the charging efficiency is improved, but the calculation complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary calculations of the necessary charging time when creating the initial route plan, rather than calculating during or at each charging stop. This advance planning approach improves charging efficiency by having the optimization ready beforehand, while keeping calculation complexity manageable through one-time pre-computation.
Data Source
AI summary
A charging management apparatus is configured to manage charging of a battery of an electric vehicle serving as a vehicle. The charging management apparatus includes one or more processors and one or more memories. The one or more memories are communicably coupled to the one or more processors. The one or more processors are configured to: acquire data on a current location and a destination of the vehicle; set charging facilities of the battery to stop during a travel from the current location to the destination, based on a predetermined criterion; and calculate a necessary charging time necessary at a first charging facility of the charging facilities to cause an expected remaining capacity of the battery upon a scheduled arrival at a second charging facility of the charging facilities after the first charging facility to be equal to or greater than a predetermined reference charging capacity.