EV Charging Station Selection for Battery Discharge Opportunities
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Solution Overview
Problem
There is a need for effective communication between vehicles and charging stations to identify discharge opportunities for monetary gain, such as selling excess battery charge back to the energy source or heating the battery, which is not adequately addressed by existing systems.
Innovation Solution
A system and method that establishes communication with charging stations, obtains messages about charging and discharging opportunities, determines vehicle battery parameters, selects an optimal charging station, and schedules charging or discharging to maximize monetary gain, utilizing a processor and machine learning algorithms for decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If communication is established with multiple charging stations to identify discharge opportunities, then monetary gain potential is improved, but system complexity and communication overhead increase
Solution Approach 1:
The system segments the communication task by establishing connections with multiple charging stations independently, evaluating each station's discharge opportunities separately, and selecting the optimal station based on predefined criteria. This segmentation allows the system to manage complexity by breaking down the overall communication task into manageable individual interactions.
Solution Approach 2:
The vehicle system autonomously evaluates discharge opportunities with multiple charging stations and automatically selects and connects to the optimal station without requiring manual intervention. This self-service capability maximizes monetary gain by independently making decisions based on real-time communication with charging stations.
2Productivity
If vehicle battery parameters are continuously monitored and analyzed, then charging/discharging optimization is improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system monitors and analyzes battery parameters continuously to ensure optimal charging and discharging decisions are made based on real-time battery status, state of charge, and performance characteristics.
Solution Approach 2:
The system dynamically adjusts charging and discharging operations based on real-time battery parameter analysis, including state of charge, temperature, and performance characteristics. This allows optimization of energy transactions while managing processing requirements through efficient parameter evaluation.
3Loss of energy
If charging station selection is based on multiple parameters and market conditions, then monetary gain is maximized, but decision-making complexity increases
Solution Approach 1:
The system pre-establishes communication protocols and evaluation criteria for assessing discharge opportunities with multiple charging stations. By preparing the decision-making framework in advance, the system can quickly evaluate real-time offers and select optimal stations without complex real-time deliberation.
Solution Approach 2:
The system continuously monitors battery parameters, charging station offers, and market conditions, using this feedback to dynamically adjust charging/discharging decisions. This feedback mechanism maximizes monetary gain by responding to changing conditions while managing complexity through systematic evaluation of multiple factors.
Data Source
AI summary
Embodiments relate to a system and method of communication with charging station to identify discharge opportunity. The system comprising: a processor operatively coupled to a memory storing instructions which on execution cause the processor to: establish communication with one or more charging stations at a geographical location; obtain, from the one or more charging stations, a first message associated with opportunities for charging and discharging a vehicle battery with the one or more charging stations; determine one or more parameters associated with the vehicle battery; select a charging station from the one or more charging stations based on the first message and the one or more parameters; and schedule a connection with the charging station to perform at least one of charging and discharging the vehicle battery to maximize a monetary gain.