EV Charging Station Pricing Using Usage Statistics by Time Zone
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Solution Overview
Problem
Existing methods fail to efficiently manage and utilize electric energy generated by EV charging stations, leading to waste and inefficiency due to lack of dynamic pricing based on usage statistics.
Innovation Solution
An EV ecosystem management device determines electric energy values by time zone, setting prices with discounts and surcharges based on charging station usage statistics, considering total charging amounts and reference levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If electric energy prices are fixed without considering usage statistics, then pricing simplicity is maintained, but electric energy waste increases due to inability to optimize usage patterns
Solution Approach 1:
The patent implements dynamic pricing by adjusting electric energy prices based on real-time usage statistics and time zones. The system dynamically modifies pricing parameters (discount rates, surcharge rates) according to charging station utilization patterns, transforming the static pricing system into a dynamic one that adapts to changing conditions to reduce energy waste.
Solution Approach 2:
The patent establishes a feedback mechanism where usage statistics from charging stations are continuously collected, analyzed, and used to adjust pricing strategies. The management device receives usage data, determines appropriate discount and surcharge rates based on this feedback, and implements price adjustments that reflect actual usage patterns, creating a closed-loop system that reduces energy waste.
2Productivity
If dynamic pricing based on usage statistics is implemented, then electric energy efficiency increases, but pricing system complexity increases
Solution Approach 1:
The patent segments the pricing system into distinct time zones and charging station groups, allowing independent pricing strategies for different segments. By dividing the overall system into manageable segments (time-based segments and location-based segments), the complexity is distributed and controlled while achieving high overall efficiency through localized optimization.
Solution Approach 2:
The patent changes pricing parameters (discount rates, surcharge rates, base prices) based on usage statistics and time zones. The management device adjusts these parameters dynamically to optimize energy efficiency, transforming fixed parameters into variable ones that respond to usage patterns, thereby improving productivity through parameter optimization.
3Ease of operation
If uniform pricing is applied across all charging stations, then operational simplicity is maintained, but energy utilization optimization is lost
Solution Approach 1:
The patent applies local quality by implementing location-specific pricing strategies for different charging stations based on their individual usage statistics. Each charging station receives customized pricing (discounts or surcharges) tailored to its local usage patterns, transforming the uniform pricing approach into a localized one that optimizes energy utilization at each specific location.
4Loss of energy
If time-based price variations are implemented, then energy usage optimization improves, but pricing calculation complexity increases
Solution Approach 1:
The patent implements periodic action by dividing time into distinct zones (peak, off-peak, valley periods) and applying different pricing strategies to each period. This periodic structure simplifies the calculation complexity by using repeating patterns rather than continuous complex calculations, while still achieving energy optimization through time-based price variations.
Data Source
AI summary
The present invention relates to a method for determining an electric energy value by considering electric energy usage statistics in an EV eco-system, and a device for performing the method. The method for determining an electric energy value by considering electric energy usage statistics in an EV eco-system may comprise steps in which an EV eco-system management device: determines electric energy usage statistics on the basis of EV eco-data received from each of a plurality of EV charging stations; and determines, by time period, the price at which electric energy is to be sold at each of the plurality of EV charging stations.