A novel road dynamic simulation approach for vehicle driveline experiments

Wen-Li Li; Jing-Jing Wang; Xiang-Kui Zhang; Peng Yi

doi:10.3934/dcdss.2019071

Article Contents

2019, Volume 12, Issue 4&5: 1035-1052. Doi: 10.3934/dcdss.2019071 open access

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A novel road dynamic simulation approach for vehicle driveline experiments

1.
Key Laboratory of Advanced Manufacture Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, China
2.
Chongqing Tsingshan Industrial, Chongqing 402761, China
3.
Chongqing Vocational Institute of Engineering, Chongqing 402260, China
4.
Chongqing Tsingshan Industrial, Chongqing 402761, China
5.
Chongqing Academy of Science and Technology, Chongqing 401123, China

* Corresponding author: Wen-Li Li
* Corresponding author: Wen-Li Li

Received: July 2017

Revised: January 2018

Published: March 2019

Abstract / Introduction Full Text(HTML) Figure(19) / Table(2) Related Papers Cited by

Abstract

A dynamic simulation approach for performing emulation experiments on vehicle driveline test bench is discussed in this paper. In order to reduce costs and shorten new vehicle development cycle time, vehicle simulation on the driveline test bench is an attractive alternative at the development phase to reduce the quantity of proto vehicles. This test method moves the test site from the road to the bench without the need for real chassis parts. Dynamic emulation of mechanical loads is a Hardware-in-the-loop (HIL) procedure, which can be used as a supplement of the conventional simulations in testing of the operation of algorithms without the need for the prototypes. The combustion engine is replaced by a electric drive motor, which replicates the torque and speed signature of an actual engine, The road load resistance of the vehicle on a real test road is accurately simulated on load dynamometer motor. On the basis of analyzing and comparing the advantages and disadvantages of the inverse dynamics model and the forward model based on speed closed loop control method, in view of the high order, nonlinear and multi variable characteristics of test bench system, a load simulation method based on speed adaptive predictive control is presented. It avoids the complex algorithm of closed loop speed compensation, and reduces the influence of inaccurate model parameters on the control precision of the simulation system. The vehicle start and dynamic shift process were simulated on the test bench.

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Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

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Figure 1. Mechanical Load Dynamic Emulation Control System

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Figure 2. Inverse Dynamic Model

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Figure 3. Speed Closed Loop Control Algorithm

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Figure 4. Speed closed loop control with feed-forward compensation

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Figure 5. Speed Closed-loop Control with Feed-forward Compensation

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Figure 6. Speed adaptive predictive control

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Figure 7. Schematic diagram of vehicle acceleration resistance

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Figure 8. Control model of speed adaptive predictive control

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Figure 9. The characteristic curves of drive motor and engine

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Figure 10. The characteristic curves of load motor

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Figure 11. Simulation range of electrical inertia on the platform system

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Figure 12. Acceleration inertia simulation curve

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Figure 13. The setup of vehicle driveline test bench

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Figure 14. The clutch control unit of the test bench

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Figure 15. The starting characteristics curves of simulated vehicle

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Figure 16. The shift control unit of the test bench

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Figure 17. Dynamic simulation curves of upshift

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Figure 18. Dynamic simulation curves of downshift

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Figure 19. Dynamic simulation curves of continuous shifting process

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Table 1. The technical data of drive motor

Power
(Kw) Frequency
(Hz) Torque
$N\cdot m$ Speed
(r/min) Moment of inertia
(kg$\cdot$ m$^2$)

235.6 250 360 5000 0.042

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Table 2. The technical data of load motor

Power
(Kw) Frequency
(Hz) Torque
($N\cdot m$) Speed
(r/min) Moment of inertia
(kg$\cdot$ m$^2$)

310 27.2 3701 800 6.3

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