This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Implementation of an Open-Loop Controller to Design the Longitudinal Vehicle Dynamics in Passenger Cars
Technical Paper
2017-01-1107
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
In order to offer a wide range of driving experiences to their customers, original equipment manufacturers implement different driving programs. The driver is capable of manually switching between these programs which alter drivability parameters in the engine control unit. As a result, acceleration forces and gradients are modified, changing the perceived driving experience. Nowadays, drivability is calibrated iteratively through road testing. Hence, the resulting set of parameters incorporated within the engine control unit is strongly dependent on the individual sentiments and decisions of the test engineers.
It is shown, that implementing a set of objective criteria offers a way to reduce the influences of personal preferences and sentiments in the drivability calibration process. In combination with the expertise of the test engineers, the desired vehicle behavior can be formalized into a transient set point sequence to give final shape to the acceleration behavior. To control the longitudinal dynamic of the vehicle in order to meet the customer expectations regarding to this set point sequence an open-loop controller is used.
To alleviate comfort reducing drive train oscillations (non-linearities e.g. effect of backlash) effectively a trigger signal can be derived from the half shaft torque to reduce the engine torque build up abruptly during backlash traverse. Thus, no impulse will be induced into the drive train and comfort reducing oscillations can be minimized.
The half shaft torque is an adequate signal for longitudinal vehicle dynamics and can be estimated in an online application. Therefore one single Extended KALMAN-Filter in combination with a drive train model is used to estimate the sum of the half shaft torque.
Thus, no additional hardware-sensors are required to obtain good results during real driving tests. If the mass inertia of the engine is known, the online algorithm is also capable to estimate all other required model parameters autonomously.
This novel approach works online and independently of different combustion concepts or drive train architectures if a gear position is set.
Recommended Content
Authors
Topic
Citation
Malonga Makosi, C., Rinderknecht, S., Binz, R., Uphaus, F. et al., "Implementation of an Open-Loop Controller to Design the Longitudinal Vehicle Dynamics in Passenger Cars," SAE Technical Paper 2017-01-1107, 2017, https://doi.org/10.4271/2017-01-1107.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
[Unnamed Dataset 1] | ||
[Unnamed Dataset 2] | ||
[Unnamed Dataset 3] |
Also In
References
- Lagerberg, A., "A Literature Survey on Control of Automotive Powertrains with Backlash", Chalmers University of Technology, Goeteborg Sweden, 2001.
- Pillas, J. and Kirschbaum, F., "Model-Based Calibration of Load Change Reaction Minimizing Control Using Hybrid State Space Models", 13th International Symposium Stuttgart Automotive and Engine Technology, 2012.
- VDI 2057 Page 1, "Einwirkung mechanischer Schwingungen auf den Menschen, Hand-Arm-Schwingungen", The Association of German Engineers (VDI), 2012.
- Malonga Makosi, C.-A., Kirschbaum, F., Uphaus, F. and Pillas, J., "Advanced Model-Based Control Functions to Design the Longitudinal Vehicle Dynamics in Passenger Cars", 15th International Symposium Stuttgart Automotive and Engine Technology, 2015.
- Webersinke, L., "Adaptive Antriebsstrangregelung fuer die Optimierung des Fahrverhaltens von Nutzfahrzeugen", Universitaetsverlag Karlsruhe, Karlsruhe, 2009.
- Templin, P. and Egardt, B., "A Powertrain LQR-Torque Compensator with Backlash Handling", Oil Gas Science Technology, vol.66(4), pp. 645-654, 2011.
- Zemke, S., "Analyse und modellbasierte Regelung von Ruckelschwingungen im Antriebsstrang von Kraftfahrzeugen", The Association of German Engineers (VDI) VDI Verlag GmbH, Duesseldorf, 2012.
- Sauermann, R., Boja, D., Kirschbaum, F., "Particle Swarm Optimization for Automotive Model-Based Calibration", 6th IFAC Symposium on Advances in Automotiv Control, 2010.
- Lv, C., Zhang, J., Li, Y., and Yuan, Y., "Synthesis of a Hybrid-Observer-Based Active Controller for Compensating Powetrain Backlash Nonlinearity of an Electric Vehicle during Regenerative Braking," SAE Int. J. Alt. Power. 4(1):190-198, 2015, doi:10.4271/2015-01-1225.
- Schneider, P., "Sigma-Punkt Kalman-Filter mit Ungleichungsnebenbedingungen", Logos Verlag Berlin, Berlin, 2011
- Kalman, R.E., "A New Approach to Linear Filtering and Prediction Problems", Transactions of the ASMEJournal of Basic Engineering, D:34-45, 1960.
- Foellinger, O., "Regelungstechnik", Huethig Buch Verlag Gmbh, 1990.
- Hac, A. and Lui, L., "Sensor and Actuator Location in Motion Control of Flexible Structures", Journal of Sound and Vibration, 167(2), 239-261, 1993
- Froehlich, M., "Ein robuster Zustandsbeobachter fuer ein semiaktives Fahrwerkregelsystem", PhD Thesis, Technical University of Munich, 2008
- ASTROEM, K. J. and Haegglund, T., "Advanced PID Control", ISA - Instrument Society of America, 2006