Prior-guided adaptive Kalman filtering for longitudinal speed estimation of four-wheel-drive electric vehicles under varying adhesion conditions
Longitudinal speed estimation becomes difficult when a vehicle runs through roads with changing adhesion, because the wheel-speed signals can be strongly affected by slip, wheel lock-up, and short road impacts. This problem is more obvious for four-wheel-drive electric vehicles, where the estimator usually has to work...