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ADVANTAGES

Reduce Infrastructure Investment

Deploy within existing lab environments—no dedicated large-scale test facilities required—reducing deployment time significantly.

Accelerate Validation and Series Production Readiness

Plug-and-play hardware shortens project setup time. One-click migration to production ECUs eliminates rework between development prototypes and series programs.

Integrated Multi-Protocol Validation

Native support for CAN FD, Automotive Ethernet, and FlexRay enables system-level validation of multiple ECUs on a single platform.

Efficient Resource Utilization with Deterministic Performance

An 8-core processor provides sub-millisecond concurrent responses. Support for up to 8 concurrent users reduces resource bottlenecks and improves lab efficiency.

Automation-Ready Architecture

Python support and open SDKs reduce custom development effort, enabling rapid integration into automated test workflows and CI environments.

Toolchain Compatibility and Supply Chain Reliability

Native CCP/XCP support and automatic A2L/HEX generation ensure seamless use with INCA and CANape. Full in-house hardware and software development protects intellectual property and improves long-term supply stability.

FUNCTIONS

MATLAB/Simulink-based Modeling

Rapid ECU enables users to model and simulate control strategies directly within the Matlab/Simulink environment, making the development process more intuitive and efficient.

Automated Code Generation

The system supports automatic code generation from MATLAB/Simulink models, streamlining the transition from design to implementation and reducing manual coding efforts.

Online Parameter Tuning

Rapid prototype controller supports real-time modification of control strategy parameters, enabling online tuning via the host computer, significantly enhancing development flexibility and efficiency.

Real-World Environment Validation

VCARSYSTEM's rapid prototyping controllers can connect to real sensors, actuators, and communication nodes, allowing users to validate control strategies in real-world environments, thereby improving development accuracy and reliability.

APPLICATION SCENARIOS

Automotive Domain Control R&D and Validation

01

Gateway R&D and Validation

02

Preliminary Algorithm Development and Validation for General Controllers

03

New Energy Vehicle Control Algorithm Development and Validation

04

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To address the growing complexity of R&D requirements, we will tailor solutions to your specifications and offer expert consulting and engineering services.

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