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- W4312080879 abstract "This work describes the development of a vehicle state estimator, designed to be employed onboard in real-time, based on the data acquisitions already available within the vehicle CAN bus infrastructure. The proposed estimation algorithm, taking into account the suspension elasto-kinematics, the longitudinal, lateral and combined dynamics of the tyres as well as the aligning interaction torques at the ground, represents at the current stage a significantly complete tool, since it also provides an estimation of road slope and banking angles, generalising the adoption of the presented vehicle model even on highly inclined roads. A further advantage of the presented estimator consists of its capability to identify in real-time and with a good level of accuracy the tyre/road interaction physical characteristics in terms of grip and cornering stiffness." @default.
- W4312080879 created "2023-01-04" @default.
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- W4312080879 date "2022-12-22" @default.
- W4312080879 modified "2023-10-10" @default.
- W4312080879 title "Adaptive vehicle dynamics state estimator for onboard automotive applications and performance analysis" @default.
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- W4312080879 doi "https://doi.org/10.1080/00423114.2022.2158567" @default.
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