This content is not included in your SAE MOBILUS subscription, or you are not logged in.
The Utilization of Onboard Sensor Measurements for Estimating Driveline Damping
Technical Paper
2019-01-1529
ISSN: 0148-7191,
e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
The proliferation of small silicon micro-chips has led to a large assortment of low-cost transducers for data acquisition. Production vehicles on average exploit more than 60 on board sensors, and that number is projected to increase beyond 200 per vehicle by 2020. Such a large increase in sensors is leading the fourth industrial revolution of connectivity and autonomy. One major downfall to installing many sensors is compromises in their accuracy and processing power due to cost limitations for high volume production. The same common errors in data acquisition such as sampling, quantization, and multiplexing on the CAN bus must be accounted for when utilizing an entire array of vehicle sensors. A huge advantage of onboard sensors is the ability to calculate vehicle parameters during a daily drive cycle to update ECU calibration factors in real time. One such parameter is driveline damping, which changes with gear state and drive mode. A damping value is desired for every gear state. Recent years have seen an increasing number of forward gear ratios, from 8-10 in production vehicles. This study estimates driveline damping values while analyzing the influence of afore mentioned data acquisition parameters. It will conclude by recommending processing best practices for onboard measurements.
Authors
Topic
Citation
Furlich, J., Blough, J., and Robinette, D., "The Utilization of Onboard Sensor Measurements for Estimating Driveline Damping," SAE Technical Paper 2019-01-1529, 2019, https://doi.org/10.4271/2019-01-1529.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| [Unnamed Dataset 1] | ||
| [Unnamed Dataset 2] |
Also In
References
- Olsson, H. , “Vehicle Data Acquisition Using CAN,” Optimum G. LLC, Denver, 2009.
- SAE J1939 , “Recommended Practice for a Serial Control and Communications Vehicle Network,” SAE International, 2012.
- Voss, W. , “A Comprehensible Guide to J1939,” Greenfield: Copperhill Media Corporation, 2008.
- Heylen, W., Lammens, S., and Sas, P. , Modal Analysis Theory and Testing (KU Leuven, 2007).
- Avitable, P. , Modal Testing: A Practitioner's Guide (John Wiley & Sons, 2017).
- Ewins, D.J. , Modal Testing: Theory, Practice and Application (Research Studies Press, 2000).
- “Automotive Sensors and Electronics Expo,” MEMS Journal Inc,, 2017. [Online] Available at: http://www.automotivesensors2017.com (accessed December 16, 2017).
- Webermann, H. , “CAN Send and Receive with Hardware Timestamping,” iCC, 2017.
- Lee, S., Andert, J., Neumann, D., Querel, C. et al. , “Hardware-in-the-Loop Based Virtual Calibration Approach to Meet Real Driving Emissions Requirements,” SAE Technical Paper 2018-01-0869, 2018, doi:10.4271/2018-01-0869.
- Barasa, P., Tian, Y., Hardes, S., Owlia, S. et al. , “Virtual Engine, Controls, and Calibration Development in Automated Co-Simulation Environment,” SAE Technical Paper 2016-01-0090, 2016, doi:10.4271/2016-01-0090.
- Krenz, R. , “Vehicle Response to Throttle Tip-In/Tip-Out,” SAE Technical Paper 850967, 1985, doi:10.4271/850967.
- Crowther, A., Zhang, N., and Singh, R. , “Development of a Clunk Simulation Model for a Rear Wheel Drive Vehicle with Automatic Transmission,” SAE Technical Paper 2005-01-2292, 2005, doi:10.4271/2005-01-2292.
- Wellmann, T., Govindswamy, K., Braun, E., and Wolff, K. , “Aspects of Driveline Integration for Optimized Vehicle NVH Characteristics,” SAE Technical Paper 2007-01-2246, 2007, doi:10.4271/2007-01-2246.
- Wyerman, B., Dinsmore, M., Saha, P., Baker, B. et al. , “Automotive Noise and Vibration Control Practices in the New Millennium,” SAE Technical Paper 2003-01-1589, 2003, doi:10.4271/2003-01-1589.
- Khan, I., Datar, M., Sun, W., Festag, G. et al. , “Multibody Dynamics Cosimulation for Vehicle NVH Response Predictions,” SAE Int. J. Veh. Dyn., Stab., and NVH 1(2):131-136, 2017, doi:10.4271/2017-01-1054.
- Gilbert, D., O'Leary, M., and Rayce, J. , “Integrating Test and Analytical Methods for the Quantification and Identification of Manual Transmission Driveline Clunk,” SAE Technical Paper 2001-01-1502, 2001, doi:10.4271/2001-01-1502.
- Robinette, D., Grimmer, M., and Beikmann, R. , “Determining Physical Properties for Rotating Components Using a Free-Free Torsional FRF Technique,” SAE Technical Paper 2011-01-1663, 2011, doi:10.4271/2011-01-1663.
- Simms, A. and Crolla, D. , “The Influence of Damper Properties on Vehicle Dynamic Behaviour,” SAE Technical Paper 2002-01-0319, 2002, doi:10.4271/2002-01-0319.
- Rao, M., Gruenberg, S., and Griffiths, D. , “Measurement of Dynamic Parameters of Automotive Exhaust Hangers,” SAE Technical Paper 2001-01-1446, 2001, doi:10.4271/2001-01-1446.
- Craig, R.R. Jr. , Fundamentals of Structural Dynamics (Hoboken: John Wiley & Sons, Inc, 2006).
- Smith, S. , Digital Signal Processing: A Practical Guide for Engineers and Scientists (Oxford: Elsevier, 2003).