Automotive engineering organizations must deliver both conventional vehicles and “green” or alternative-fuel vehicles that meet current and future environmental requirements of their customers. And they must do this with smaller teams and less time between vehicle programs.
To meet the challenge, leading engineering organizations worldwide have moved from a paper-and-prototype design methodology to Model-Based Design. Using MATLAB and Simulink, these organizations speed up embedded controller development and calibration and deliver vehicles that meet market requirements for safety, comfort, functionality, fuel economy, and vehicle performance.
Model-Based Design helps engineers meet the demand for green vehicles by facilitating the move from concept car to production-ready, fuel-efficient vehicle. Engineers quickly build conceptual system models, make design tradeoffs, and verify algorithms before prototype components or vehicles are available.
Engineers who develop multimedia, infotainment, and convenience features in modern passenger vehicles work with human-machine interfaces (HMIs), such as the radio faceplate or the instrument cluster. They write functional requirements to describe how the customer will interact with devices, and develop designs using finite state logic. To ensure that the logic and algorithms developed to meet customer needs, engineers use MATLAB, Simulink, and wireless communications products to design and test audio, video, and communications application in a single environment.
Automated driving systems use vision, radar, ultrasound, and combinations of sensor technologies to automate dynamic driving tasks. These tasks include steering, braking, and acceleration. Automated driving spans a wide range of automation levels – from advanced driver assistance systems (ADAS) to fully autonomous driving.
Automotive companies use MATLAB and Simulinkto design automated driving system functionality including computer vision algorithm development and sensor fusion and controls development.