Correlation of Virtual and Physical Testing for Three-Wheeler Handling and Road Load Data Acquisition
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2025
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| _version_ | 1866901700630020096 |
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| author | Kalyani Shende Shreyas Shingavi Vishesh Rane |
| author_facet | Kalyani Shende Shreyas Shingavi Vishesh Rane |
| contents | Three-wheeler vehicles are a cheaper mode of transportation in many parts of the world, especially in densely populated urban areas. Three-wheeler vehicles present unique challenges in handling stability and road load performance, necessitating a thorough understanding of their dynamic behavior across various driving conditions. There has been a least number of studies focusing on the correlation of Multibody Dynamics (MBD) simulations specifically for three-wheelers. The accuracy of three-wheeler MBD simulations has been a concern, particularly in replicating physical test scenarios under non-ideal conditions. However, as MBD models have evolved, they have become increasingly precise, leading to significant reductions in vehicle testing costs and time. By correlating MBD simulations with physical RLDA and handling test results, this research demonstrates the growing reliability of MBD as a tool for predicting vehicle dynamics. This paper explores the correlation between physical and virtual handling characteristics and Road Load Data Acquisition (RLDA) parameters using Multibody Dynamics (MBD) analysis. Basic handling tests, including Double Lane Change (DLC), Constant Radius Cornering (CRC) and Straight-line Braking (SLB) were conducted to assess vehicle performance. Key performance metrics, including peak lateral acceleration, roll angle, and braking distance, were analyzed to establish the fidelity of the MBD model. For the RLDA study, Time Series Wheel Center Displacement (TSWCD) and wheel acceleration data were utilized as inputs for the MBD model to replicate real-world behavior of the suspension. Physical and virtual model correlation done by comparing spring displacement and chassis acceleration. The findings underscore how MBD can enhance vehicle design processes, improving simulation accuracy and contributing to the development of safer and higher-performing three-wheeler vehicles. This study provides a comprehensive framework for integrating MBD into modern vehicle development strategies. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18108164 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | Correlation of Virtual and Physical Testing for Three-Wheeler Handling and Road Load Data Acquisition Kalyani Shende Shreyas Shingavi Vishesh Rane Vehicle Dynamics Three-wheeler Multibody Dynamics Handling Analysis Road Load Data Acquisition Three-wheeler vehicles are a cheaper mode of transportation in many parts of the world, especially in densely populated urban areas. Three-wheeler vehicles present unique challenges in handling stability and road load performance, necessitating a thorough understanding of their dynamic behavior across various driving conditions. There has been a least number of studies focusing on the correlation of Multibody Dynamics (MBD) simulations specifically for three-wheelers. The accuracy of three-wheeler MBD simulations has been a concern, particularly in replicating physical test scenarios under non-ideal conditions. However, as MBD models have evolved, they have become increasingly precise, leading to significant reductions in vehicle testing costs and time. By correlating MBD simulations with physical RLDA and handling test results, this research demonstrates the growing reliability of MBD as a tool for predicting vehicle dynamics. This paper explores the correlation between physical and virtual handling characteristics and Road Load Data Acquisition (RLDA) parameters using Multibody Dynamics (MBD) analysis. Basic handling tests, including Double Lane Change (DLC), Constant Radius Cornering (CRC) and Straight-line Braking (SLB) were conducted to assess vehicle performance. Key performance metrics, including peak lateral acceleration, roll angle, and braking distance, were analyzed to establish the fidelity of the MBD model. For the RLDA study, Time Series Wheel Center Displacement (TSWCD) and wheel acceleration data were utilized as inputs for the MBD model to replicate real-world behavior of the suspension. Physical and virtual model correlation done by comparing spring displacement and chassis acceleration. The findings underscore how MBD can enhance vehicle design processes, improving simulation accuracy and contributing to the development of safer and higher-performing three-wheeler vehicles. This study provides a comprehensive framework for integrating MBD into modern vehicle development strategies. |
| title | Correlation of Virtual and Physical Testing for Three-Wheeler Handling and Road Load Data Acquisition |
| topic | Vehicle Dynamics Three-wheeler Multibody Dynamics Handling Analysis Road Load Data Acquisition |
| url | https://doi.org/10.5281/zenodo.18108164 |