Unified Vehicle Simulation Model for Cross-Platform ECU Testing
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Solution Overview
Problem
Current virtual testing methods for autonomous vehicle development face challenges such as cumbersome development of complex vehicle models, slow code testing on actual vehicles, access issues to vehicles and ECUs, and difficulties in sharing realistic vehicle models across platforms.
Innovation Solution
A platform-independent unified simulation model is developed, comprising a vehicle dynamic model, actuator sub-models, controller sub-models, and communication sub-models, which can be executed autonomously and shared across multiple platforms, facilitating realistic simulation of vehicle behavior and inter-controller communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a complete vehicle model is required in SIL environment to accelerate development, then productivity is improved, but device complexity increases
Solution Approach 1:
The vehicle model is divided into modular components: vehicle dynamic model, actuator models, sensor models, and ECU models. Each module can be independently developed, tested, and integrated, reducing overall system complexity while enabling comprehensive virtual testing.
Solution Approach 2:
A standardized interface layer is introduced between different model components and the testing environment. This intermediary enables seamless integration and data exchange between modules without requiring complex point-to-point connections, simplifying the overall system architecture.
2Measurement precision
If code is tested on actual vehicles, then measurement precision is improved, but loss of time increases
Solution Approach 1:
A high-fidelity virtual copy of the vehicle system is created through the unified simulation model. This digital twin replicates the physical vehicle's dynamics, sensors, and control systems, enabling accurate testing without requiring physical vehicle access, thus eliminating time delays while maintaining test validity.
Solution Approach 2:
The vehicle model and testing environment are prepared in advance through offline model development and validation. Test scenarios can be executed immediately once code is ready, without waiting for vehicle availability, enabling continuous integration and faster development cycles.
3Adaptability or versatility
If realistic vehicle models are shared with external partners, then adaptability is improved, but device complexity increases
Solution Approach 1:
The simulation model is designed with universal interfaces and standardized data formats that can be used across different platforms and applications. The model can serve multiple purposes: development testing, validation, calibration, and collaboration with external partners, eliminating the need for multiple specialized models.
Solution Approach 2:
The model incorporates configurable parameters that can be adjusted to match different vehicle configurations, platforms, and testing requirements. This parametric approach allows the same base model to be adapted for various applications without requiring separate models for each scenario.
Data Source
AI summary
A method for providing a platform-independent unified simulation model representing a road vehicle includes a vehicle dynamic model configured to simulate a time evolution of at least one motion state of the vehicle, a plurality of actuator sub-models, each of which represents an actuator in the vehicle, configured to simulate a time evolution of a motion state under the action of the actuator controller sub-models representing electronic control unit, ECUs, which are configured to control the actuators on the basis of a sensed state of the vehicle and in accordance with predefined control logic, and to exchange bus messages with other ECUs, and a communication sub-model representing a data bus operable to deliver bus messages among ECUs.