For modern combustion engines to develop their full potential and work at maximum efficiency, the software of their control unit must be ideally calibrated. This is why, from the many thousand possible combinations, our test engineers must pinpoint precisely the one that controls the engine in the best possible way at all times.


However: Test-bench time is expensive and a grid measurement of all conceivable variants can soon result in thousands of individual measurements. Not only a time-consuming approach but also an inefficient one. So, since the end of the last century, our developers have been working in depth on the “Design of Experiments” method, or DoE for short. This allows measurements to be distributed in the test space intelligently so that the number of tests is reduced to a minimum.

Our EasyDoE software makes it possible for any test engineer to use the DoE methods unassisted. A workflow with intuitive user surface guides the user through the task in hand: This begins by defining the test parameters and chosen measured variables. A test plan is then generated using mathematic algorithms. This guarantees to achieve the result with an optimum number of tests while saving time. Proceeding from the data measured, the program generates mathematical models as the basis for defining optimum calibration. For this purpose, the EasyDoE provides the user with various graphic evaluations as well as the use of an optimizer that allows optimum calibration to be found automatically.

The EasyDoE is the result of our many years of experience with DoE in developing automobiles. Initially developing in-house tools, our team continued to refine them over the years and adapted them for different applications in the automotive segment. Today, IAV has several software developers and engineers working on continually improving the program and providing support for internal and external users.

Technical specifications
  • The number of measurements required for eight parameters is reduced from around 5,000 to 400
  • User interface and data management are based on Java
  • Algorithms run in Matlab™
  • Requirement: standard PC with MS Windows XP or better
  • Compatible with Orion test-bench optimization system