On-road running test system for exhaust certification
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Solution Overview
Problem
Drivers face challenges in performing on-road exhaust gas certification tests as they need to interpret and respond to various types of intermediate data in real-time, requiring special skills and often assistance, to adhere to predetermined test conditions.
Innovation Solution
An on-road vehicle running test system that calculates and presents a recommended driving operation style and route to drivers, using AI for machine learning based on past data and real-time conditions, to help them satisfy test conditions like Trip Composition, MAW, and SPF without requiring special skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers perform on-road exhaust gas certification tests by interpreting intermediate data in real-time, then test condition compliance can be achieved, but driver skill requirements increase and operation complexity increases
Solution Approach 1:
The system automatically calculates and determines the optimal driving operation style and route without requiring driver interpretation or decision-making. The calculation unit autonomously processes test data and generates recommended driving instructions, enabling the system to serve itself rather than requiring skilled human operators.
Solution Approach 2:
The patent replaces the mechanical/cognitive process of driver data interpretation with an automated calculation unit that processes test data algorithmically. This substitution eliminates the need for drivers to possess special skills in interpreting intermediate data while ensuring consistent compliance with test conditions.
2Reliability
If drivers perform on-road exhaust gas certification tests by interpreting intermediate data in real-time, then test condition compliance can be achieved, but operation complexity increases
Solution Approach 1:
The patent extracts the complex data interpretation and decision-making functions from the driver and concentrates them in a dedicated calculation unit. This separation removes the operational complexity from the driver's task, leaving only simple execution of recommended driving instructions.
Solution Approach 2:
The calculation unit acts as an intermediary between the test data and the driver, automatically processing intermediate data and translating it into actionable driving recommendations. This intermediary eliminates the need for direct driver interpretation of complex data while ensuring test condition compliance.
3Reliability
If assistant familiar with running test rides together to give driving instructions, then test condition compliance improves, but system complexity and cost increase
Solution Approach 1:
The system replaces the human assistant with an automated calculation unit that independently determines optimal driving strategies. The system serves itself by automatically calculating recommended driving operation styles and routes without requiring external human expertise or additional personnel.
Solution Approach 2:
The patent substitutes the human assistant's cognitive functions with an automated calculation unit that processes test data and generates driving instructions algorithmically. This substitution eliminates the need for additional trained personnel while maintaining or improving test condition compliance.
Data Source
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AI summary
Provided is an on-road running test system including: a running data acquisition part that successively acquires pieces of actual running data on a vehicle on which a driver performs a running test on a road; a calculation part that compares predetermined test conditions for the running test and the pieces of actual running data to calculate a driving operation style including at least one of an accelerator operation mode, a brake operation mode, and a shift operation mode for satisfying the test conditions; and a presentation part that presents the driving operation style to the driver.