Presentations

This page groups chronologically presentations I have done externally for example at conferences.

1. 2020-09, Let's Connect/ HCL Connections User Conference
2. 2015-09-24,  MathWorks Automotive Conference, Stuttgart 
3. 2007-09-26 ENBIS Conference, Dortmund
4. 2004-07-01 Workshop on Parameter Estimation and Optimal Design of Experiments (PARAOPE), Heidelberg
5. 2002-05-16 Second Workshop on Non-linear Optimization “Theoretical Aspects of Surrogate Optimization”, Coimbra

2020-09, Let's Connect/ HCL Connections User Conference

See details https://tdalon.blogspot.com/2020/10/connections-powertools-presentation-2020.html

Topic: PowerTools presentation around HCL Connections

Slides

Recording

2015-09-24,  MathWorks Automotive Conference, Stuttgart 

Title: AVL Embedded Software Model-Based Design Platform Based on MATLAB and Simulink

Summary:

AVL provides independent and modular powertrain software control solutions from prototype to production to meet individual customer demands. For developing embedded software using Model-Based Design with MATLAB® and Simulink®, AVL has developed a development platform called AVLab.

AVLab contributes to higher productivity and quality of powertrain development processes. It also bundles different tools together in one standard platform and ensures continuity in the model-based development process.

This talk presents an overview of the AVL Embedded Software Model-Based Design Platform based on MATLAB and Simulink and highlights some of its best practices and innovative solutions.

Video Recording

Slides (PDF) 

2007-09-26 ENBIS Conference, Dortmund

Title: The use of intelligent Experimental Designs for Optimal Automotive Engine Calibration Online at Engine Test Bench.

Abstract

Control-unit calibration for modern internal combustion engines is currently facing a conflict caused by the additional effort needed to calibrate increasingly complex engine data with a growing number of parameters, together with extremely ambitious objectives regarding the period of time and the resources needed for calibration, performance, consumption, and comfort expected by the customer and emissions levels which are more and more stringent.

To reduce costs we look for reducing testing time at test bench and hence use minimal number of measurements. That leads to Optimal Experimental Design approaches. Designing experiments often leads to trade-offs between local and global search: local criteria encompass achieving best calibration i.e. the optimization of a target (for example performance) under many constraints (emissions, consumption), whereas global criteria tend to explore the whole domain or improve model quality.

We present here the context and methods investigated at Siemens VDO Automotive for optimal engine calibration online at the test bench.

The approach will be illustrated on a practical industrial engine calibration example.

Keywords: Automotive Engine Calibration, Design of Experiments, Online Optimization, Model-based/ surrogate optimization

Slides 

Paper

2004-07-01 Workshop on Parameter Estimation and Optimal Design of Experiments (PARAOPE), Heidelberg

Title: The Use of intelligent Experimental Designs for Optimal Automotive Engine Calibration Online at Engine Test Bench

Slides

2002-05-16 Second Workshop on Non-linear Optimization “Theoretical Aspects of Surrogate Optimization”, Coimbra

I made a presentation entitled: “The Use of Surrogate-based Optimization in Engine Automatic Calibration on Test Bench”.

Slides (PDF)