培训服务

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
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Setting up test plans
-Designing for constraints
-Applying classical, space-filling, and optimal methods

Data loading and handling
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Loading, visualizing, filtering, and augmenting measured data

Response surface modeling
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Creating one-stage and two-stage response-surface models using radial basis functions, polynomials, splines, and neural nets

Calibration generation
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Setting up optimization problems
-Reviewing, executing, filling, and exporting tables
-Applying application-specific, multiobjective, and drive-cycle optimization

Training Formats

形式 课程长度 课程大纲

课堂

课程是在培训教室由培训老师讲授的。教室的地点包括北京和上海的MathWorks公司和其他公开的场地。课堂培训也可以在您公司的场地进行。

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课程要求

Background in powertrain calibration required; basic knowledge of MATLAB recommended.