Researchers at the University of Waterloo use MapleSim in New Approach to Tire Modeling
Ideally, a tire model will accurately simulate the dynamics of the system and result in simulations that execute quickly. Unfortunately, existing tire models typically either do not model behavior to a high degree of accuracy, or they are very resource intensive and slow to simulate. Researchers at the University of Waterloo wanted to see if they could develop a new tire model that delivered a better balance between accuracy and efficiency. Using MapleSim, the researchers developed a volumetric tire model intended to provide accurate results more efficiently than other models. Initial test results are promising. The new tire model shows improved accuracy over existing models without resorting to more resource-intensive approaches. The researchers plan to use additional data from a Vehicle Measurement System to further fine tune the parameters of the model in MapleSim. The tire model can then be incorporated into detailed vehicle models for complete vehicle systems simulations.
Tires are a critical component in vehicle design. To save time and money in the design and development of new vehicles, automotive manufacturers typically use models to simulate the dynamic relationship between tires and road surfaces. Ideally, a tire model must accurately simulate the dynamics of the system and allow designers to vary its parameters, and simulations must also execute quickly. Existing tire models have inherent drawbacks. Some existing tire models, such as the Pacejka magic formula tire model, are based solely on experimental data. Alternatives, such as finite element models, are extremely resource intensive, while other tire models represent the tire with a physical object, such as a string or brush. None of these models achieve an ideal balance of accuracy and efficiency. However, researchers at the University of Waterloo are taking a new approach to tire modeling with the ultimate goal of achieving this ideal balance.
To test the accuracy of the volumetric tire model, the model was used in a simulated drop test. An actual drop test was performed on a MICHELIN® 195/65 R15 summer tire inflated to 33 psi. The tire model was assembled to undergo the same motion as the actual drop test. Using MapleSim, the dro...
To test the accuracy of the volumetric tire model, the model was used in a simulated drop test. An actual drop test was performed on a MICHELIN® 195/65 R15 summer tire inflated to 33 psi. The tire model was assembled to undergo the same motion as the actual drop test. Using MapleSim, the drop and rebound of the tire were simulated. Another commercially available tire model, selected from MapleSim’s extensive Tire Library, was also used to compare the results. When comparing the results of the two models, the MapleSim volumetric tire model provided a slightly more accurate estimate for the position of the wheel.
Initial results indicate that the MapleSim volumetric tire model is promising for use, not only for automobile tires, but for tires with higher camber angles, such as bicycle and motorcycle tires. To increase the fidelity of the model, the researchers plan on further testing of the volumetric tire model using data obtained from a Vehicle Measurement System (VMS). The VMS will provide information on the position, orientation and loads placed on the tire during actual driving tests of a vehicle.
“While the initial results from the model look promising, the data from the VMS can be used to further fine tune the parameters of the tire model,” said Dr. McPhee. “Using MapleSim, we can take the analysis further by easily incorporating the tire model into detailed vehicle models for complete vehicle systems simulations.”*At the time of this research study, Dr. Joydeep Banerjee was a member of Dr. McPhee’s research team at the University of Waterloo. He is now employed with Maplesoft as an Application Engineer.
Published by Maplesoft, Inc. on Mar 15, 2017
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