In this work, we develop a rules-based µ-estimation algorithm which is independent of any tyre model and may be employed independently by brake control systems of the vehicle. The algorithm proposed herein aims at estimating the tyre/road friction coefficient during braking, in particular when one or more of the tyres approach the limit of adhesion. The proposed algorithm avoids the use of any particular tyre model and the need to identify several parameters of such models. It uses measurements of variables that are typically available in modern vehicles, namely, vehicle demanded and actual deceleration and wheel angular velocity, as well as the brake force distribution applied by the brake system. The algorithm is validated through implementation in high-fidelity vehicle dynamics simulation and by experimental data collected during experiments with a brake-by-wire electric vehicle.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.