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Automotive

The ISYS Automotive Research Group is engaged in the development of electric, mechanical, thermal and fluidic systems within the automotive sector. Our research is focused on the application of novel methods in modeling and system analysis as well as linear/nonlinear control and optimization.

What we do

The ISYS Automotive Research Group is engaged in the development of electric, mechanical, thermal and fluidic systems within the automotive sector.

Our research is focused on the application of novel methods in modeling and system analysis as well as linear/nonlinear control and optimization. Research projects are conducted in close cooperation with domestic and international industry, such as the Audi AG, Bosch (China) Investment Ltd and Daimler AG.

Core competence fields of the automotive group (c)
Core competence fields of the automotive group.

Current Research Projects

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  • Modeling of the complete hybrid drivetrain
  • System identification and validation
  • Design of a model-based adaptive control strategy
  • Design of adaptin algorithms
  • Further information
7HDT300 Dual-clutch transmisson
  • Modeling of the hydraulical, mechanical und electrical components
  • Design of a model-based adaptive control strategy to improve shift quality
  • Implementation and testing of the controller in a simulation environment (SiL) and experimental vehicle
  • Further information
9G-Tronic Automatic transmission
  • Various piloted or assisted vehicle automation systems demand reliable chassis functions
  • As nowadays production cars can be equipped with different chassis actuators, sensors and systems the developed safety algorithms are implemented in a modular framework
  • The cost of developing and securing new functions can therefore be reduced.
  • Further information
  • Various piloted or assisted vehicle automation systems demand a reliable vehicle position and motion control sometimes up to the handling limits
  • As nowadays production cars can be equipped with different chassis actuators, the developed vehicle control supports and utilizes vehicles over-actuated as well as under-actuated vehicles
  • The control algorithms will be implemented and validated using Q7 and A8 test vehicles provided by the Audi AG
  • Further information
  • Electrical powertrain modeing including motor, power electronics and battery (aging)
  • Analysis of battery lifetime and range extension potential
  • Model-based powertrain optimization
  • Further information
  • Modelling of the driving dynamics of an industrial vehicle as a multibody system
  • Estimation of ground slope and trailer mass based on inertial and gyroscope measurements
  • Model-based stabilizing assistance functions
  • Further information
  • Dynamic modeling of the electric power train including battery, inverter-machine combinations and engine control
  • Utilization of road preview data for online predictive control strategies
  • Investigation of efficient acceleration and recuperation potentials
  • Further information
  • Development of eco-driving strategies for (Hybrid) Electric Vehicles
  • Identification of longitudinal driving characteristics
  • Adaptive Tuning of eco-driving strategy to increase acceptance by drivers
  • Further information
  • Modelling the electrical components of the power net
  • Characterization of ripple currents and voltage fluctuations taking into account the topology of the power net and modulation scheme for the inverter
  • Development of simulation models
  • Further information
  • Modeling of all thermal components
  • Implementation of efficient simulation models
  • Definition of an optimal control problem for computation of an optimal, predivitve operating strategy
  • Further Information
  • Improved agility and driving pleasure
  • Enabling controlled oversteering for experienced as well as inexperienced drivers while avoiding uncontrollable and unsafe driving situations
  • Implementation and verification of the developed control concepts in an Audi A7 technology demonstrator
  • Further information

Completed Research Projects

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  • An Organic Rankine Cycle (ORC), a heat engine, converts the exhaust gas heat into mechanical power
  • Modelling of the dynamic ORC for reconstruction of the transient operation
  • Model-based design of feedforward and feedback controller with emphasis on disturbance rejection, with implementation and test in the prototype-system
  • Further information
  • Development of an integrated lateral handling dynamics control system for over-actuated vehicles under consideration of realistic conditions
  • Improovement of driving safety, agility and driving pleasure
  • Implementation and validation of the develped identification and control algorithms in an A7 test vehicle provided by the Audi AG
  • Further information
  • Modelling of the electric drive train of all-electric vehicles including DC/DC converter, drive inverter and fuel cells/ batteries
  • Focus on voltage and current dynamics with frequencies ranging from 100 Hz to 20 kHz
  • Prediction of current and voltage harmonics induced by semiconductor switching for filter design and loss estimation
  • Further information

Student's Theses

We are always looking for students who want to contribute to one of our research projects through a bachelor's or master's thesis. The assigned subjects typically include but are not limited to:

  • Distributed- and lumped parameter modeling of electric, mechanical, thermal and fluidic systems
  • Modelidentification and methods for state estimation
  • Sensor fusion and signal processing
  • Methods of constrained and unconstrained optimization
  • Design and comparison of control strategies for automotive systems

For more information or if you would like to inquire about additional topics, please do not hesitate to contact one of our group members.

Publications

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  • F. Bender & O. Sawodny, “Development of a refuse truck driving cycle collective based on measurement data”, International Journal of Environment and Waste Management (IJEWM), 15, pp. 99-113, 2015, doi:10.1504/IJEWM.2015.068930
  • C. Göhrle & O. Sawodny, “Overall concepts for preview active suspension systems - Road profile estimation and preview control for low bandwidth active suspension systems”, IEEE/ASME Transactions on Mechatronics, 20, pp. 2299-2310, 2015, doi:10.1109/TMECH.2014.2375336
  • F. Bender, T. Bosse & O. Sawodny, “An investigation on the fuel savings potential of hybrid refuse collection vehicles”, Waste Mangement, pp. 1577-1583, 2014, doi:10.1016/j.wasman.2014.05.022
  • C. Göhrle, A. Schindler, A. Wagner & O. Sawodny, “Design and vehicle implementation of preview active suspension controllers”, IEEE Transactions on Control Systems Technology, 22, pp. 1135-1142, 2014, doi:10.1109/TCST.2013.2272342
  • F. Bender, M. Kaszynski & O. Sawodny, “Drive Cycle Prediction and Energy Management Optimization for Hybrid Hydraulic Vehicles”, IEEE Transactions on Vehicular Technology, 62, pp. 3581-3592, 2013, doi:10.1109/TVT.2013.2259645
  • M. Kaszynski & O. Sawodny, “Determining the fuel savings potential of parallel hybrid hydraulic vehicles”, International Journal of Powertrains (IPJT), 1, pp. 22-42, 2011, doi:10.1504/IJPT.2011.041908
  • A. Probst, M. E. Magana & O. Sawodny, “Using a Kalman filter and a Pade approximation to estimate random time delays in a networked feedback control system”, IET Control Theory and Applications, 4, pp. 2263-2272, 2010
  • A. Probst, M. E. Magaña & O. Sawodny, “Compensating Random Time Delays in a Feedback Networked Control System with a Kalman Filter”, ASME Journal on Dynamic Systems, Measurement and Control (JDSMC), 2010
  • K.-U. Henning, S. Speidel & O. Sawodny, “Integrated Feed-Forward Controller for the Lateral Dynamics of an Over-Actuated Vehicle using Optimization based Model Inversion”, American Control Conference (ACC), Boston, USA, 2016, pp. 5994-5999
  • C. Sagert, M. Walter & O. Sawodny, “DC/DC Converter Control for Voltage Ripple Reduction in Electric Vehicles”, IEEE Conference on Advanced Intelligent Mechatronics, Banff, Kanada, 2016
  • S. Schaut, S. Alt & O. Sawodny, “Control of Temperature Conditioning Systems with Distributed Actuator Dynamics”, IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Banff, Canada, 2016
  • D. Seitz, O. Gehring, C. Bunz, M. Brunschier & O. Sawodny, “Design of a Nonlinear, Dynamic Feedforward Part for the Evaporator Control of an Organic Rankine Cycle in Heavy Duty Vehicles”, IFAC Symposium on Advances in Automotive Control, Norrköping, Sweden, 2016, doi:10.1016/j.ifacol.2016.08.091
  • D. Seitz, O. Gehring, C. Bunz, M. Brunschier & O. Sawodny, “Dynamic Model of a Multi-Evaporator Organic Rankine Cycle for Exhaust Heat Recovery in Automotive Applications”, IFAC Symposium on Mechatronic Systems, Loughborough, UK, 2016
  • T. C. Malouf, M. Bauer & J. J. Moskwa, “A Second Generation Heat Transfer Simulator for Single-Cylinder Engines to Replicate Multi-Cylinder Engine Dynamics”, IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, Columbus, Ohio, USA, 2015, doi:10.1016/j.ifacol.2015.10.005
  • C. Sagert, F. Bender & O. Sawodny, “Electrical drive train modeling for model predictive control of DC-DC converters in fuel cell vehicles”, American Control Conference (ACC), Chicago, IL, USA, 2015, pp. 4333-4338, doi:10.1109/ACC.2015.7172010
  • C. Sagert, M. Walter, S. Fandel & O. Sawodny, “Sizing Electrical DC Link Capacitors in Complex Electriv Powertrains”, IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, Columbus, USA, 2015, pp. 230-236, doi:10.1016/j.ifacol.2015.10.033
  • D. Seitz, O. Gehring & O. Sawodny, “Modellbildung und Identifikation für ein Abgaswärmenutzungssystem in schweren Nutzfahrzeugen”, 7. VDI/VDE Fachtagung AUTOREG Auf dem Weg zum automatisierten Fahren, Baden-Baden, Germany, 2015
  • F. Bender, H. Uzuner & O. Sawodny, “An Adaptive Driver Model for Driving Cycle Prediction in the Intelligent Truck”, IFAC World Congress, Cape Town, South Africa, 2014, pp. 10682-10687, doi:10.3182/20140824-6-ZA-1003.00285
  • G. Heppeler, M. Sonntag & O. Sawodny, “Fuel Efficiency Analysis for Simultaneous Optimization of the Velocity Trajectory and the Energy Management in Hybrid Electric Vehicles”, IFAC World Congress, Cape Town, South Africa, 2014, pp. 6612-6617
  • F. Bender, M. Kaszynski & O. Sawodny, “Location-Based Energy Management Optimization for Hybrid Hydraulic Vehicles”, American Control Conference (ACC), Washington, DC, USA, 2013, pp. 402-407, doi:10.1109/ACC.2013.6579870
  • C. Göhrle, A. Schindler, A. Wagner & O. Sawodny, “Model Predictive Control of semi-active and active suspension systems with available road preview”, European Control Conference (ECC), 2013, pp. 1499-1504
  • C. Sagert, F. D. Meglio, M. Krstic & P. Rouchon, “Backstepping and Flatness Approaches for Stabilization of the Stick-Slip Phenomenon for Drilling”, IFAC Symposium on System Structure and Control, Grenoble, France, 2013, pp. 779-784, doi:10.3182/20130204-3-FR-2033.00126
  • C. Göhrle, A. Wagner, A. Schindler & O. Sawodny, “Active Suspension Controller using MPC based on a full-car model with preview information”, American Control Conference (ACC), Montreal, Canada, 2012, pp. 497-502, doi:10.1109/ACC.2012.6314680
  • M. Sonntag, C. Bunz, O. Gehring, W. Kok, A. Zuschlag & O. Sawodny, “Validierung der Hybrid-Betriebsstrategie des Econic BlueTec Hybrid im realen Müllsammeleinsatz”, Autoreg, 2012
  • Y. Cong, O. Sawodny, H. Chen, J. Zimmermann & A. Lutz, “Motion Planning for an Autonomous Vehicle Driving on Motorways by Using Flatness Properties”, IEEE Conference on Control Applications (CCA), Yokohama, Japan, 2010, pp. 908-913
  • M. Kaszynski & O. Sawodny, “A Moving Horizon based Sensor Fusion and Load Estimation Concept for Driving Profile-based Operating Strategy Optimization in Hybrid Hydraulic Trucks”, ASME International Design Engineering Technical Conferences Computers and Information Engineering Conference IDETC/CIE, San Diego, California, USA, 2009, pp. 347-356, doi:10.1115/DETC2009-87023
  • S. Krichel, S. Agrawal & O. Sawodny, “Modeling and Control of Two-Wheeled Vehicles, Using Active Caster Wheels”, IEEE Conference of Advanced Intelligent Mechatronics (AIM), Singapore, 2009, pp. 1750-1756
  • M. Kaszynski & O. Sawodny, “Modeling and Identification of a Built-In Turbocharged Diesel Engine Using Standardized On-Board Measurement Signals”, IEEE Conference on Control Applications (CCA), San Antonio, Texas, USA, 2008, pp. 7-12, doi:10.1109/CCA.2008.4629648
  • T. Kopfstedt, M. Mukai, M. Fujita & O. Sawodny, “A Networked Formation Control for Groups of Mobile Robots using Mixed Integer Programming”, IEEE Conference on Control Applications (CCA), Munich, Germany, 2006, pp. 579-584
  • T. Kopfstedt, M. Mukai, M. Fujita & O. Sawodny, “Formation Control for Mobile Robots in partially known Environments using Mixed Integer Programming and Fuzzy Systems”, SICE-ICASE International Joint Conference, Busan, Korea, 2006, pp. 1832-1837
  • C. Göhrle, “Methoden und Implementierung einer vorausschauenden Fahrwerksregelung für aktive und semi-aktive Federungssysteme”, 2014
  • M. Kaszynski, “Prädiktions- und optimierungsbasierte Betriebsstrategie zur Realisierung des maximalen Einsparpotentials hydraulischer Parallelhybridfahrzeuge”, 2012

Members of the automotive group