EV Charging Billing Using Power Range and Time Costs
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Solution Overview
Problem
Existing billing strategies for fast and supercharging piles in new energy vehicles primarily focus on charging electricity quantity, leading to inaccurate billing results that do not conform to the economic benefit model of these charging facilities.
Innovation Solution
A billing method that determines charging costs based on both charging electricity quantity and time, incorporating power range unit prices, vehicle model information, and predicted power ranges to reflect the timeliness of fast and supercharging piles, thereby improving billing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If billing is based only on charging electricity quantity, then billing simplicity is maintained, but billing accuracy and economic benefit model conformity deteriorate
Solution Approach 1:
The billing strategy is segmented into multiple components: charging electricity quantity cost (based on kWh) and charging time cost (based on time and power range). This segmentation allows the system to maintain calculation simplicity while improving billing accuracy by separately accounting for different cost factors that affect charging economics.
Solution Approach 2:
The billing system changes from a single parameter (electricity quantity) to multiple parameters (electricity quantity and time). By introducing time as an additional billing parameter and creating different power range unit prices, the system achieves more accurate billing that reflects the actual economic benefits of fast and supercharging piles without excessive complexity.
2Speed
If fast and supercharging piles are used to meet charging needs, then charging timeliness is improved, but billing accuracy deteriorates due to inadequate billing strategies
Solution Approach 1:
The billing system introduces time as an additional parameter alongside electricity quantity. By creating power range unit prices that correspond to different charging speeds (fast charging vs. supercharging), the system accurately reflects the timeliness advantage of these charging piles in the billing, enabling precise cost calculation that matches the improved charging performance.
3Measurement precision
If charging cost includes only electricity quantity cost, then billing simplicity is maintained, but cost prediction accuracy deteriorates
Solution Approach 1:
The charging cost is segmented into two independent components: charging electricity quantity cost and charging time cost. This segmentation allows each component to be calculated separately using simple formulas, then summed to get the total cost. The approach improves cost prediction accuracy by considering multiple factors while maintaining operational simplicity through modular calculation.
Solution Approach 2:
The billing system dynamically adjusts the charging time cost based on actual charging power range and duration. By using power range unit prices that correspond to different charging speeds and calculating time cost in real-time, the system provides accurate cost prediction that adapts to actual charging conditions without requiring complex manual calculations.
Data Source
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AI summary
The present application discloses a billing method, apparatus and device for vehicle charging, a storage medium, and a program product. The method includes: determining, based on a charging power range of a vehicle in a charging process and a charging duration of the charging power range, a charging time cost of a vehicle; determining, based on a charging electricity quantity, a charging electricity quantity cost of the vehicle; determining, based on the charging electricity quantity cost of the vehicle and the charging time cost of the vehicle, a charging cost of the vehicle; before the vehicle is charged, determining, based on vehicle type information of the vehicle, a predicted power range of the vehicle; determining, based on the predicted power range and a power range unit price, a charging time cost unit price of the vehicle; and determining a sum of a preset electricity quantity unit price, an electricity quantity service unit price and the charging time cost unit price as a predicted charging unit price of the vehicle.