Operation Planning System for Electric Vehicle Charging Scheduling
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Solution Overview
Problem
Rechargeable vehicles with batteries as travel energy sources face delays due to charging times, especially when charging occurs with passengers on board, leading to potential arrival time delays in on-demand traffic operations.
Innovation Solution
An operation planning system that receives user requests, determines vehicle operation sections, and allocates vehicles with state-of-charge shortages to be charged before operation, using a charging determining unit to prioritize vehicles with lower battery levels and select suitable chargers based on position information, thereby creating an operation plan that minimizes charging delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a rechargeable vehicle is charged during operation when the state of charge is low, then the vehicle can maintain operation capability, but the operation is delayed by several hours causing passenger arrival time delays
Solution Approach 1:
The operation planning system performs preliminary charging scheduling by deriving the state of charge shortage for each operation section and allocating vehicles that can be charged before operation starts. The system determines charging timing in advance and reserves chargers, ensuring vehicles are charged before departure rather than during operation, thus preventing delays.
2Adaptability or versatility
If multiple vehicles are operated in on-demand traffic, then service coverage is improved, but managing charging for multiple vehicles increases system complexity
Solution Approach 1:
The operation planning system manages multiple vehicles by tracking and comparing their state of charge parameters. The charging determining unit compares state of charge values across multiple vehicles and prioritizes charging for vehicles with lower state of charge. The system dynamically adjusts charging schedules based on operation sections, departure times, and battery status, enabling efficient management of diverse vehicle fleets.
3Loss of time
If vehicles are charged before operation starts, then charging delays are prevented, but the system must accurately predict state of charge shortage for each operation section
Solution Approach 1:
The operation planning system uses feedback from actual operation data to improve state of charge predictions. The system derives operation sections from request information including departure locations and destinations, then compares predicted energy consumption with actual consumption patterns. This feedback mechanism allows the system to refine its state of charge calculations and improve prediction accuracy over time.
Data Source
AI summary
An operation planning system that creates an operation plan of a vehicle with a rechargeable battery as a travel energy source includes: a reception unit configured to receive request information including a departure location and a destination from a user; and an operation determining unit configured to determine an operation plan in response to the request information. The operation determining unit is configured to derive a state of charge shortage by which there is a shortage when the vehicle travels in an operation section based on the state of charge of the vehicle and to create the operation plan by allocating a vehicle, which is able to be charged with the derived state of charge shortage until an operation of the vehicle starts, to the operation section.


