Multi-Vehicle Charging Schedule Negotiation for Station Utilization
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Solution Overview
Problem
Existing charging systems for electric vehicles lack efficient methods for managing and optimizing charging schedules across multiple vehicles at a single charging station, leading to suboptimal charging times and energy usage.
Innovation Solution
A method and system for user negotiation at a multi-vehicle charging station, where vehicles communicate to prepare a cooperative charging schedule, sharing information on charging parameters, desired state of charge, and trip information to optimize charging times and reduce energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a charging station serves multiple vehicles simultaneously, then the productivity and utilization of the charging station is improved, but the complexity of managing and optimizing charging schedules across multiple vehicles increases
Solution Approach 1:
The charging schedule management is segmented by assigning a coordinator vehicle among the group of vehicles. This coordinator vehicle is responsible for managing the charging schedules of all vehicles in the group, thereby distributing the management complexity to individual vehicles rather than concentrating it all at the charging station controller.
Solution Approach 2:
Vehicles autonomously negotiate and determine their own charging schedules by exchanging information about their charging parameters, desired state of charge, and trip information. This self-service approach allows vehicles to independently optimize their charging schedules without requiring complex centralized management at the charging station.
2Ease of operation
If vehicles autonomously negotiate charging schedules, then user control over charging experience is improved, but the communication and coordination overhead between vehicles increases
Solution Approach 1:
Vehicles exchange only the specific information necessary for charging schedule negotiation (charging parameters, desired state of charge, trip information) rather than all possible vehicle data. This partial information exchange achieves the necessary user control while minimizing communication overhead.
3Use of energy by moving object
If charging parameters are optimized for cooperative charging, then energy usage efficiency is improved, but the difficulty of detecting and measuring amenable parameters increases
Solution Approach 1:
Vehicles provide feedback to the coordinator vehicle about their charging status, state of charge levels, and whether proposed charging parameters are amenable. This feedback mechanism allows the coordinator to iteratively adjust and optimize charging schedules based on real-time vehicle responses, improving energy efficiency while systematically assessing parameter amenability.
Data Source
AI summary
Systems and methods for a multi-vehicle charging station are provided. In one embodiment, a method includes identifying a charging station configured to provide a host vehicle a charge according a host vehicle charging schedule. The method also includes identifying a proximate vehicle based on a charging distance between the proximate vehicle from the charging station. The method further includes transmitting a cooperation request to the proximate vehicle. The method yet further includes receiving a proximate vehicle charging schedule from the proximate vehicle. The method includes generating a cooperative charging schedule based on a comparison of the host vehicle charging schedule and the proximate vehicle charging schedule. The method also includes transmitting the cooperative charging schedule to the charging station.