Vehicle Service Interface Fee Estimation Using External Data
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Solution Overview
Problem
Existing systems struggle to accurately calculate future interface use fees for vehicle services due to limited data availability from vehicles, making it difficult to appropriately charge service providers.
Innovation Solution
A service provision system that includes a vehicle control system with electronic control units, a coordination controller, and a server, which converts access requests into vehicle-dependent formats, acquires current and future vehicle information, and integrates external system data to calculate precise future estimation amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only vehicle data is used for calculation, then the calculation process is simple, but the accuracy of future interface use fee estimation is insufficient
Solution Approach 1:
The system segments data acquisition into two distinct modules: vehicle data acquisition (through the functional interface) and external system data acquisition (through the server). This segmentation allows the system to gather diverse data sources while maintaining clear responsibility boundaries, thereby improving estimation accuracy without creating a monolithic complex system.
Solution Approach 2:
The server acts as an intermediary between the vehicle control system and external systems. It receives vehicle information via the functional interface and supplements it with external system information, then integrates both data sources to calculate future interface use fees. This intermediary role enables accurate multi-source data integration without requiring direct complex connections between all components.
2Measurement precision
If multiple data sources are integrated, then the estimation accuracy improves, but the system complexity increases
Solution Approach 1:
The server performs multiple functions: it acts as a data receiver from the vehicle control system, a data processor for integrating external system information, and a calculation engine for determining interface use fees. This multi-functionality reduces the need for separate dedicated components for each task, thereby improving accuracy while controlling overall system complexity.
Solution Approach 2:
The functional interface serves as a universal intermediary that standardizes the conversion of access requests into vehicle-dependent formats. This standardization mechanism enables seamless integration of multiple data sources without requiring custom integration logic for each data source, thus improving accuracy while maintaining manageable system complexity.
3Measurement precision
If future external system information is acquired, then the future estimation amount becomes more accurate, but the data acquisition complexity increases
Solution Approach 1:
The system performs preliminary data acquisition by establishing the functional interface and server connections in advance. The server is pre-configured to receive both vehicle information and external system information, and to perform the integration and calculation processes before actual service provisioning occurs. This preliminary setup simplifies real-time operations while ensuring accurate future estimations.
Data Source
AI summary
A service provision system comprises: a vehicle control system that includes: a plurality of electronic control units; and a coordination controller configured to perform coordination between a service application and a control system function block; and a server. The control system function block includes a functional interface configured to convert an access request into a vehicle-dependent format. The coordination controller transfers the access request to the control system function block. The service provision system is further configured to: acquire current and feature vehicle information; calculate a current interface use fee; calculate a first future estimation amount that is an estimation amount of the interface use fee; acquire future external system information; and calculate a second future estimation amount.