Cloud Control Platform HIL Testing for Credible Repeatable Evaluation
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Solution Overview
Problem
Existing methods for testing cloud control platforms in intelligent connected vehicles face challenges such as low efficiency, high cost, and inability to accurately determine test evaluation information due to unrepeatable scenarios and insufficient credibility in real vehicle tests, while simulation tests lack credibility in assessing real software and hardware integration.
Innovation Solution
A hardware-in-the-loop test environment is established, incorporating a cloud control platform, road traffic scenario simulation, and real-time simulator to simulate various scenarios, allowing for accurate determination of test evaluation information through functional parameter collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real vehicle test is used, then test credibility is improved, but test efficiency deteriorates
Solution Approach 1:
The patent creates virtual copies of real-world traffic scenarios, road conditions, and vehicle behaviors through a simulation platform. These virtual scenarios replicate complex real-world conditions including weather variations, traffic patterns, and road geometries, enabling comprehensive testing without physical vehicle deployment. The copying principle resolves the contradiction by providing test credibility through realistic scenario replication while achieving high efficiency through virtual execution.
Solution Approach 2:
The patent introduces an intermediary layer between real vehicle testing and pure simulation by using standardized test interfaces and protocol translators. This intermediary enables seamless integration of real vehicle data into virtual environments and allows test results from simulation to be validated against real-world benchmarks, thereby maintaining test credibility while improving efficiency through the use of virtual testing as the primary method.
2Reliability
If real vehicle test is used, then test completeness is improved, but test cost deteriorates
Solution Approach 1:
The simulation platform creates virtual replicas of expensive real-world test scenarios, including rare edge cases and dangerous conditions that would be costly or impossible to reproduce physically. By copying these scenarios in virtual space, the system achieves comprehensive test coverage without the prohibitive costs of real vehicle deployment, insurance, and logistics for each test case.
Solution Approach 2:
The patent performs preliminary testing in virtual environments to identify and resolve issues before conducting expensive real-world tests. By pre-validating test scenarios, algorithms, and system behaviors in the cost-effective simulation environment, the approach minimizes the number of expensive real vehicle tests needed, thereby reducing overall test costs while maintaining completeness.
3Productivity
If simulation test is used, then test efficiency is improved, but test credibility deteriorates
Solution Approach 1:
The patent enhances simulation test credibility by creating highly accurate virtual copies of physical systems, including detailed models of vehicle dynamics, sensor behaviors, communication protocols, and environmental conditions. These faithful reproductions maintain the essential characteristics of real-world systems while enabling efficient virtual testing, thus preserving credibility through accuracy rather than physical presence.
Solution Approach 2:
The system implements feedback mechanisms where simulation results are continuously validated against real-world test data and system specifications. Discrepancies between virtual and real behaviors trigger refinements in the simulation models, creating a self-correcting system that maintains high credibility. The feedback loop ensures that simulation tests remain trustworthy by constantly comparing virtual outcomes with actual system performance.
4Productivity
If simulation test is used, then test repeatability is improved, but test realism deteriorates
Solution Approach 1:
The patent creates standardized, parameterized templates for realistic test scenarios that can be repeatedly instantiated with different values. These templates capture the essential characteristics of real-world situations while allowing systematic variation of parameters such as weather conditions, traffic density, and vehicle speeds. This approach maintains realism through faithful scenario replication while ensuring repeatability through standardized execution protocols.
Solution Approach 2:
The simulation system dynamically adjusts scenario parameters and environmental conditions during test execution while maintaining core scenario integrity. This allows the same test scenario to be repeated multiple times with controlled variations, enabling statistical analysis and robust validation while preserving the essential realistic characteristics of each scenario type.
Data Source
AI summary
A method for determining test evaluation information includes: building a hardware-in-the-loop test environment, wherein the hardware-in-the-loop test environment comprises a cloud control platform under test, a road traffic scenario simulation platform, and a real-time simulator, and wherein the road traffic scenario simulation platform is configured to build a variety of road traffic scenarios, the real-time simulator is configured to realize communication between the cloud control platform under test and respective interface boards; determining a test scenario according to a function to be realized by the cloud control platform under test; performing a test operation on the cloud control platform under test based on the hardware-in-the-loop test environment and the test scenario, and collecting functional parameters of the cloud control platform under test; and determining test evaluation information of the cloud control platform under test based on the functional parameters.


