Linström, Bernard VilliersEls, Pieter SchalkBotha, Theunis R.2018-11-202018Els, P.S., Linström, B.V. & Botha, T.R. 2018, 'A real-time non-linear vehicle preview model', International Journal of Heavy Vehicle Systems, vol. 25, no. 1, pp. 1-22.1744-232X (print)1741-5152 (online)10.1504/IJHVS.2018.089893http://hdl.handle.net/2263/67290Vehicle accident statistics indicate that fatalities due to rollover of sport utility vehicles (SUVs) are of international concern. Soft suspension, combined with high centre-of-gravity, increase SUV rollover propensity. Control strategies for prevention or mitigation of rollover, based on the current state of the vehicle, exist but most experience a delay in switching, due to response times of the controllers and actuators used to control vehicles dynamics. This paper proposes a real-time non-linear vehicle preview model (VPM) capable of accurately predicting future vehicle states based on current states. The preview model is developed and experimentally validated on a SUV. Results indicate that important vehicle states, including roll angle and lateral acceleration, can be accurately predicted up to more than 0.25 s into the future. Vehicle dynamics controllers can use the previewed states instead of the measured states to eliminate delays and make the strategies proactive instead of reactive.en© 2017 Inderscience Enterprises Ltd.RolloverReal timePreview modelController delaySport utility vehicle (SUV)Centre of gravity (CG)Vehicle preview model (VPM)Engineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-11SDG-11: Sustainable cities and communitiesEngineering, built environment and information technology articles SDG-03SDG-03: Good health and well-beingEngineering, built environment and information technology articles SDG-12SDG-12: Responsible consumption and productionPostprint Article