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Design of adaptive vehicle suspension using cloud-based road data

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Control methods for adaptive vehicle suspension systems have been in the focus of automotive research for several years, hence some car companies already apply these suspension systems to enhance stability and comfort of their luxury models. Generally these suspension systems are only capable to react to instantaneous impacts induced by road bumps, while only few of them are able to adapt to oncoming road conditions. However, as camera-based road monitoring systems become more and more widespread, automotive companies recently focus on adaptive suspension systems with oncoming road adaptation. This paper introduces a novel method based on the emerging cloud computing technology, where the look-ahead adaptation is based on historic road information gathered and preprocessed in the cloud database. The proposed adaptive suspension control based on Vehicle-to-Cloud-to-Vehicle (V2C2V) technology is validated in a real data simulation in TruckSim simulation environment.