KEYWORDS: Modeling, Systems modeling, Education and training, Design, Model based design, Systems engineering, Process modeling, Computer simulations, Complex systems, Performance modeling
Requirement analysis is the core step in requirements engineering. The traditional method of requirement analysis is usually carried out by customer, requirement analyst and other cooperative work, and repeated manual iteration. Based on the idea of model-based systems engineering (MBSE), taking the demand analysis of metro train braking system as an example, a top-down demand analysis method is proposed by using the forward design process, and a joint simulation platform is built by combining Unity3D and AMEsim. The key functional requirements and performance requirements are simulated and analyzed to verify the effectiveness and feasibility of the established requirement model, and then the requirement itemized model is managed and released to each subsystem. The results show that compared with the traditional design, the model established by this modeling method can improve the efficiency of system design and ensure the traceability of requirements. At the same time, the simulation analysis and verification of requirements improve the efficiency and accuracy of demand management.
In recent years, the continuous advancement of electronic technology in the field of new energy vehicles has brought about significant reforms. The vehicle controller, serving as the pivotal control unit in automotive electronics, plays a crucial role in shaping the periodicity, economy, comfort, and safety of vehicle development[1][2].The upper and lower control strategies of the vehicle's electrical control system are constructed using the development tools provided by Mathwork, a leading application layer software company in China. By leveraging the Yiang new energy vehicle VCU development platform, software writing, testing, and operation are executed to validate the efficacy of the upper and lower electrical module control strategies of VCU, showcasing the streamlined development process facilitated by the platform. This experiment not only contributes to the further optimization of the D2P integrated solution for automotive VCU but also enables the seamless integration and optimization of functions such as Motohawk and Mototune, thereby simplifying the overall development process
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