Model Based Calibration
This hands-on, two-day course focuses on tools and techniques for using Design of Experiments, statistical modeling, and optimization to calibrate modern powertrain systems in MATLAB® and Simulink®. The course is designed for engineers who intend to calibrate and test engines, develop control algorithms, and simulate powertrain behavior. By the end of the course, attendees will be able to produce a set of optimal base calibration tables for a typical modern gasoline or diesel engine. Two subject variants, based on gasoline or diesel materials, are available. Topics include:
Working with Design of Experiments
-Setting up test plans
-Designing for constraints
-Applying classical, space-filling, and optimal methods
Data loading and handling
-Loading, visualizing, filtering, and augmenting measured data
Response surface modeling
-Creating one-stage and two-stage response-surface models using radial basis functions, polynomials, splines, and neural nets
-Setting up optimization problems
-Reviewing, executing, filling, and exporting tables
-Applying application-specific, multiobjective, and drive-cycle optimization
매스웍스 강의실에서 매스웍스 강사에 의해 진행되는 과정입니다. 정규교육은 또한 귀하의 시설에서 진행될 수 있습니다.
Background in powertrain calibration required; basic knowledge of MATLAB recommended.