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An iterative dynamic programming/convex optimization procedure for optimal sizing and energy management of PHEVs

Mitra Pourabdollah (Institutionen för signaler och system, Reglerteknik) ; Nikolce Murgovski (Institutionen för signaler och system, Mekatronik) ; Anders Grauers (Institutionen för signaler och system, Automation) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, South Africa, 24-29 August 2014 (1474-6670). Vol. 19 (2014), p. 6606-6611.
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Hybrid electric vehicles, Optimal sizing, Driving cycles, Convex optimization, Dynamic programming, Gear shifting, Engine on-off

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Denna post skapades 2014-12-17. Senast ändrad 2016-08-18.
CPL Pubid: 208357