PATAC Automates Digital Engine Research Framework to Improve Efficiency
Team Aims to Develop “One-Click” 3D Engine Models
“We discovered that Optimization Toolbox greatly reduces the time and effort of our engineers to develop the framework, using algorithms that are readily available.… Using this MATLAB toolbox has greatly improved our efficiency.”
Key Outcomes
- MATLAB tools enabled the creation of a complete framework for the digital development of engines
- Integration of intelligent optimization algorithms improved decision-making efficiency in the engine development process
- Easy-to-use interfaces in the research and development app allowed for seamless updates and potential integration into the development process of other products
- Modeling, architecture, and visualization with MATLAB helped transform traditional engine team development capabilities
As electric and hybrid vehicles become more common, the automotive industry demands rapid design updates, which can be difficult for human engineers to complete alone. To solve this problem, the Pan Asia Technical Automotive Center (PATAC) has developed a complete framework—including a research app—to automate the process for digital engine development.
Using a combination of MATLAB® tools, including Requirements Toolbox™, System Composer™, and App Designer, the team was able to develop a unified environment to capture the engine architecture design process from start to finish. They began by modeling knowledge from engineers using logic functions in MATLAB. Engineers working on engine development then used these trained functions with Optimization Toolbox™ to support optimal design decisions.
This intelligent framework allows engineers and designers to input requirements, such as cost or fuel consumption, and easily output specific design solutions. In the future, the team imagines a seamless “one-click” interface to output 3D model solutions for rapidly changing engine designs.
