Effect of Driving, Charging, and Pricing Scenarios on Optimal Component Sizing of a PHEV
Journal article, 2017

In this paper, the problem of optimal sizing of a series PHEV is studied by formulating a convex program that minimizes the sum of operational and component costs. The solution gives the optimal sizes of the main powertrain components, simultaneously with the vehicle’s optimal energy management. Investigations are performed on driving cycles generated stochastically from real data using Markov chains, with different driving distance distributions and charging patterns. The results show that the optimal component sizing is affected more from the driving distances between charging opportunities, than the speed profile of the driving. With anticipated future battery and petroleum prices, larger battery sizes are obtained.

Driving cycles

Optimal sizing

Markov models.

Convex optimization

Hybrid electric vehicles

Author

Mitra Pourabdollah

Chalmers, Signals and Systems, Systems and control, Automatic Control

Bo Egardt

Chalmers, Signals and Systems, Systems and control, Automatic Control

Nikolce Murgovski

Chalmers, Signals and Systems, Systems and control, Mechatronics

Anders Grauers

Chalmers, Signals and Systems, Systems and control, Automatic Control

Control Engineering Practice

0967-0661 (ISSN)

Vol. 61 217-228

Areas of Advance

Transport

Energy

Subject Categories

Vehicle Engineering

Energy Systems

Control Engineering

DOI

10.1016/j.conengprac.2016.02.005

More information

Created

10/8/2017