7. An Estimation of Vehicle Vertical Dynamics Using Inverse Method

The well-defined input to the vehicle or simulation model is one of the essential requirements to test driving ride comfort typically. This work suggests an approach to determining vehicle vertical dynamics, wheel vertical forces, and pitch torques based on an inverse direction methodology. The simple Kalman filter is used to form a filter that generates the residual innovation sequences with a recursive estimator. A least-squares algorithm is applied to compute the load’s magnitudes from the car systems measured dynamic response data. In numerical simulations, we analyze the current strategy’s feasibility and precision with a model driving estimation of wheel loads of a half-car over deterministic and random road profiles. The results from the simulation show that the proposed approach correctly measures the vertical dynamics of the vehicle.