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Development of a Time invariant Stochastic Model of a Transport Mission

Lars Johannesson (Institutionen för signaler och system, Reglerteknik)
Göteborg : Chalmers University of Technology, 2005.

In this report a continuous state space markov process is identified from drive data collected in central Gothenburg. The drive behavior is modeled as a time invariant markov process with acceleration and velocity as the markov states. The acceleration is modeled as beta distributed with the beta parameters dependent on previous acceleration and velocity. The model is verified by comparing simulated velocities and accelerations with the measurements. The simulations show that the model is able to reproduce most of the behavior exhibited in the measurements. It is therefore concluded that the beta distribution is a good modeling choice for a markov process that describes the time invariant distribution of acceleration and velocity.

Nyckelord: markov processes, drive-cycle modeling, hybrid electric vehicles, powertrains

Denna post skapades 2007-01-08.
CPL Pubid: 24979


Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik



Chalmers infrastruktur