Experimental Identification and Parameter Estimation of the Mechanical Driveline of a Hybrid Bus

Driveline resonances are one of the major reasons for poor vehicle drivability, passenger discomfort, and premature wear of the mechanical parts of the driveline. Therefore, adequate models generated by system identification are essential in order to analyze resonances, and especially to design solutions to mitigate these adverse effects by means of control. In this paper, the resonating mechanical driveline of a hybrid city bus is identified by feeding different excitation signals, such as a pseudo-random binary signal, stepped sine, and chirp to the driveline, and by measuring the frequency response at a standstill and during on-road experiments. The identification experiments are conducted by operating the bus in the series electric hybrid mode, that is, in an operating mode that corresponds to a full electric mode powered by energy storages. Resonating two-mass system models are parametrized based on the obtained frequency responses and used to validate the identification experiments.

[1]  Stijn Derammelaere,et al.  Online Identification of a Two-Mass System in Frequency Domain using a Kalman Filter , 2016 .

[2]  Mikael Norrlöf,et al.  Closed-Loop Identification of an Industrial Robot Containing Flexibilities , 2003 .

[3]  Bo Egardt,et al.  An LQR torque compensator for driveline oscillation damping , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[4]  Jonas Fredriksson,et al.  Powertrain Control for Active Damping of Driveline Oscillations , 2002 .

[5]  Hao Ying,et al.  Active Damping Wheel-Torque Control System to Reduce Driveline Oscillations in a Power-Split Hybrid Electric Vehicle , 2009, IEEE Transactions on Vehicular Technology.

[6]  I. D. Landau,et al.  Digital Control Systems: Design, Identification and Implementation , 2006 .

[7]  Simos Evangelou,et al.  Voltage Control for Enhanced Power Electronic Efficiency in Series Hybrid Electric Vehicles , 2017, IEEE Transactions on Vehicular Technology.

[8]  Lassi Aarniovuori,et al.  Multidisciplinary Design of a Permanent-Magnet Traction Motor for a Hybrid Bus Taking the Load Cycle into Account , 2016, IEEE Transactions on Industrial Electronics.

[9]  Tuomo Lindh,et al.  Online Estimation of Linear Tooth Belt Drive System Parameters , 2015, IEEE Transactions on Industrial Electronics.

[10]  Liang Li,et al.  Fuel consumption optimization for smart hybrid electric vehicle during a car-following process , 2017 .

[11]  Mario Pacas,et al.  Application of the Welch-Method for the Identification of Two- and Three-Mass-Systems , 2008, IEEE Transactions on Industrial Electronics.

[12]  J. Bocker,et al.  Active damping of drive train oscillations for an electrically driven vehicle , 2004, IEEE/ASME Transactions on Mechatronics.

[13]  Ioan Doré Landau,et al.  An output error recursive algorithm for unbiased identification in closed loop , 1996, Autom..

[14]  Dominik Luczak,et al.  Identification of multi-mass mechanical systems in electrical drives , 2014, Proceedings of the 16th International Conference on Mechatronics - Mechatronika 2014.

[15]  Luigi del Re,et al.  IDENTIFICATION OF DRIVELINE PARAMETERS USING AN AUGMENTED NONLINEAR MODEL , 2005 .

[16]  Joachim Bocker,et al.  Active Suppression of Torsional Oscillations , 2004 .

[17]  M. Fleischer Reduced model identification for traction drive-trains , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[18]  Chao Wu,et al.  A Synthesized Diagnosis Approach for Lithium-ion Battery in Hybrid Electric Vehicle , 2017, IEEE Transactions on Vehicular Technology.

[19]  Mario Pacas,et al.  Methods for commissioning and identification in drives , 2010 .

[20]  Fengchun Sun,et al.  Influence of Parameter Variations on System Identification of Full Car Model , 2011 .

[21]  Dominik Luczak,et al.  Parametric identification of multi-mass mechanical systems in electrical drives using nonlinear least squares method , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[22]  Peter Templin Simultaneous estimation of driveline dynamics and backlash size for control design , 2008, 2008 IEEE International Conference on Control Applications.

[23]  Ari J. Tuononen,et al.  Modal analysis of different drivetrain configurations in electric vehicles , 2018 .

[24]  Peter Sergeant,et al.  Torque Analysis on a Double Rotor Electrical Variable Transmission With Hybrid Excitation , 2017, IEEE Transactions on Industrial Electronics.

[25]  Huei Peng,et al.  Modeling and Control of a Power-Split Hybrid Vehicle , 2008, IEEE Transactions on Control Systems Technology.

[26]  A. Abass,et al.  Nonparametric Driveline Identification and Control , 2010, 2010 International Conference on Intelligent Systems, Modelling and Simulation.

[27]  Marko Hinkkanen,et al.  Identification of Two-Mass Mechanical Systems Using Torque Excitation: Design and Experimental Evaluation , 2015, IEEE Transactions on Industry Applications.

[28]  Ingo Müller Two reliable methods for estimating the mechanical parameters of a rotating three-inertia system , 2002 .

[29]  P. Chevrel,et al.  Vehicle driveability improvement by prediction and compensation of the shaft torque: a state-space approach , 2007, 2007 European Control Conference (ECC).

[30]  M. Grotjahn,et al.  Modelling and identification of car driveline dynamics for anti-jerk controller design , 2006, 2006 IEEE International Conference on Mechatronics.

[31]  Stijn Derammelaere,et al.  Online Identification of a Mechanical System in Frequency Domain Using Sliding DFT , 2016, IEEE Transactions on Industrial Electronics.

[32]  Mario Pacas,et al.  Encoderless Identification of Two-Mass-Systems Utilizing an Extended Speed Adaptive Observer Structure , 2017, IEEE Transactions on Industrial Electronics.