Developing control software for EV powertrains requires a highly iterative and rigorous process to ensure functionality, performance, and safety. It begins with a detailed requirements analysis to define system objectives, followed by the design of control system architecture and clear interaction specifications for each powertrain component. To guarantee reliability, the software undergoes extensive testing at every stage. However, if testing is delayed until the final stages, it may uncover critical issues too late, leading to higher costs and delays. Adopting a Model-Based Design (MBD) approach mitigates these risks by facilitating continuous testing and early error detection throughout the development process, improving both time-to-market and product quality.

In this session, you will hear more about:

• The critical role of detailed requirements analysis in defining system objectives for EV powertrain control software
• How a well-structured control system architecture ensures seamless interaction between powertrain components
• The importance of early and continuous testing to identify and address issues before they escalate
• The benefits of adopting Model-Based Design (MBD) for improving product quality and accelerating time-to-market