Automotive Group


A simulation tool for optimization and performance prediction of a generic hybrid-electric series powertrain*
M. Gadola, D. Chindamo, M. Romano

ABSTRACT – Hybrid and electric vehicles are taking an increasingly important slice of the market, gaining much interest from major car manufacturers which have decided to invest in this sector, taking as example the pioneers like Toyota.

The key factor to hybrid and electric vehicle success is a good overall mileage achieved from the battery back or powertrain.

The purpose of this work is to provide a support to design, testing, and development of such vehicles through the implementation of a mathematical model in order to simulate the operation and predict the performance of a generic ground vehicle equipped with either a purely electric or a hybrid-electric type powertrain. The model should enable the user to estimate the impact of various control strategies on mileage range, efficiency, energy consumption, etc. The model should also allow for a significant time to market reduction with all the related benefits in terms of cost etc.

A validation is also provided, based on the application of this tool on a so-called micro-car (0.5t GVW class). Thanks to a joint research project with the manufacturer it has been possible to compare model results with real-world data directly obtained during road testing with the help of a data acquisition system.

Development and validation of a Kalman filter-based model for vehicle slip angle estimation*
M. Gadola, D. Chindamo, M. Romano, F. Padula

ABSTRACT –It is well-known that vehicle slip angle is one of the most di.cult parameters to be measured on a vehicle during testing or racing activities.Moreover the appropriate sensor is very expensive and it is often di.cult to .t it on a car, especially on race-cars.

We propose here a strategy to eliminate the need for this sensor by using a mathematical tool which gives a good estimation of the vehicle slip angle. A single-track car model, coupled with an Extended Kalman Filter (EKF), has been used in order to achieve the result. Moreover, a tuning procedure is proposed to consider both non-linear and saturation characteristics typical of vehicle lateral dynamics.

The effectiveness of the proposed algorithm has been proven by both simulation results and real-world data.