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Impact of Trip Length Uncertainty on Optimal Discharging Strategies for PHEVs

Viktor Larsson (Institutionen för signaler och system, Reglerteknik) ; Lars Johannesson (Institutionen för signaler och system, Reglerteknik) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
Proceedings of the 6th IFAC Symposium Advances in Automotive Control, Munich; 12 July 2010 through 14 July 2010 (14746670). p. 55-60. (2010)
[Konferensbidrag, refereegranskat]

When charged from the electric grid, plug-in Hybrid Electric Vehicles can be expected to have an all electric range of 10 - 60 km depending on battery size. In order to minimize the fuel cost it is vital to fully deplete the battery between two charging occasions. However, when driving distances exceeding the electric range it is in many cases energy efficient to turn on the engine at an early stage and blend power from the battery with power from the combustion engine. This paper studies how uncertainties regarding the predicted trip length affect the optimal discharging strategy of a parallel plug-in Hybrid Electric Vehicle. The predicted trip length along an otherwise perfectly known speed profile is modeled as a normally distributed stochastic variable and Dynamic Programming is used to calculate the optimal discharging strategy. Calculations are carried out for varying standard deviations on three different speed profiles. The results indicate that it is possible to decrease the fuel costs with 1-4 % even with relatively little knowledge regarding the future trip length.

Nyckelord: Hybrid Electric Vehicles, Predictive control, Energy Management

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Denna post skapades 2010-11-01. Senast ändrad 2016-08-22.
CPL Pubid: 128398


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)



Chalmers infrastruktur