bokiiiiiii/Deep-Learning-Based-Suspension-Dynamic-Performance-Prediction
Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles
This project helps automotive engineers and vehicle designers quickly predict how suspension systems will perform in multi-axle vehicles without extensive physical testing. By inputting vehicle and suspension parameters, it outputs key performance indicators like the Suspension Dynamic Performance Index (SDPI). This allows for faster design iteration and optimization.
No commits in the last 6 months.
Use this if you are an automotive engineer or researcher needing to rapidly evaluate the dynamic performance of multi-axle vehicle suspension designs using simulation data.
Not ideal if you are looking for a real-time diagnostic tool for existing vehicles or a solution that uses live sensor data rather than simulation results.
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Language
Python
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Last pushed
Aug 13, 2025
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