Prof. Dr. Josef Kainz

Source: https://ent.cs.tum.de/en/team/josef-kainz Parent: https://ent.cs.tum.de/en/

Professional Career

Since 2015 : Professor (Professorship Energy Technology at Weihenstephan-Triesdorf University of Applied Sciences) at the TUM Campus Straubing for Biotechnology and Sustainability

2013 : Appointment as "Leading Technical Expert" in the expert field "Airpath advanced concepts" at Continental

2008–2015 : Development Engineer at Continental Automotive GmbH (Advance Development Engine Systems, Powertrain Division) in Regensburg

2007–2008 : Development engineer at Siemens VDO Automotive AG in Regensburg

2006–2007 : Development Engineer at Siemens AG (Siemens VDO Division) in Regensburg

2004–2006 : Development Engineer at Siemens VDO Automotive AG (Advanced Development Gasoline Systems, Powertrain Division) in Regensburg

2000–2004 : Research assistant at the University of Regensburg

Education

2000–2004 : Doctorate (Dr rer. nat.) at the Institute for Theoretical Physics at the University of Regensburg\ Topic: "Theory of spin relaxation and intersubband absorption in semiconductor quantum structures"

1995–2000 : Studied physics (Dipl. Phys.) at the University of Regensburg\ Diploma thesis at the Institute of Theoretical Physics with the topic: "Quantum dots in a high magnetic field - application of a new method for solving the N-particle problem"

2001 : WITRON training award

Development and research activities in the industry

: Development of a diagnostic procedure for recognising the cause of combustion misfires occurring during engine operation : Development of various adaptation methods to compensate for tolerances : Development of a neural network optimised for use on control units : Concept design and industrialisation of a process for air path modelling and control of an engine with variable intake valve lift (successful start of series production in 2012) : Development of a runtime-optimised engine process simulation tool

Professional Experience

Engine management : - Comprehensive overview of motor control architecture - Air path modelling (intake manifold model) - Adaptation process for tolerance compensation (e.g. on throttle valve, injection, valve lift) - Carrying out and analysing measurements (vehicle, engine test bench, emission tests) - Data analysis and simulation with Matlab/Simulink - Development of control unit functions

Simulation : - 1D flow simulation, material data modelling - Modelling of combustion and heat transfer - Thermodynamic loss analysis

Modelling methods : - Characteristic maps, polynomials, neural networks - Optimisation (regression, non-linear optimisation) - Adaptation methods - Diagnostic methods (model-based diagnostics, threshold monitoring)