# Development of a Time invariant Stochastic Model of a Transport Mission

Göteborg : Chalmers University of Technology, 2005.

[Rapport]

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

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**Harvard**

Johannesson, L. (2005) *Development of a Time invariant Stochastic Model of a Transport Mission*. Göteborg : Chalmers University of Technology

** BibTeX **

@techreport{

Johannesson2005,

author={Johannesson, Lars},

title={Development of a Time invariant Stochastic Model of a Transport Mission},

abstract={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.},

publisher={Chalmers University of Technology},

place={Göteborg},

year={2005},

keywords={markov processes, drive-cycle modeling, hybrid electric vehicles, powertrains},

}

** RefWorks **

RT Report

SR Print

ID 24979

A1 Johannesson, Lars

T1 Development of a Time invariant Stochastic Model of a Transport Mission

YR 2005

AB 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.

PB Chalmers University of Technology

LA eng

OL 30

Denna post skapades 2007-01-08.

CPL Pubid: 24979