An iterative dynamic programming/convex optimization procedure for optimal sizing and energy management of PHEVs
Paper in proceedings, 2014

This paper proposes a time-efficient method for sub-optimal design of a plug-in hybrid electric vehicle with a parallel powertrain topology. The method finds the optimal design of the vehicle by iteratively using dynamic programming (DP) and convex optimization to minimize sum of operational and component costs over a given driving cycle. In particular, DP is used to optimize energy management, gear shifting and engine on-off for given component sizes, and convex optimization is used to optimize energy management and component sizes using the gear shifting and engine on-off strategies obtained by DP. Next, DP is re-optimized with the component sizes obtained by convex optimization, and the procedure is repeated until the component sizes converge. The result of this iterative method is compared by using DP on a grid of possible component sizes. It is shown that the iterative method gives a result very close to the global optimum in a comparably short time.

Optimal sizing

Hybrid electric vehicles

Convex optimization

Engine on-off

Dynamic programming

Driving cycles

Gear shifting

Author

Mitra Pourabdollah

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, Automation

Bo Egardt

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

19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, South Africa, 24-29 August 2014

1474-6670 (ISSN)

Vol. 19 6606-6611

Areas of Advance

Transport

Energy

Subject Categories

Control Engineering

ISBN

978-390282362-5

More information

Created

10/7/2017