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A Novel Algorithm for Predictive Control of Parallel Hybrid Powertrains based on Dynamic Programming

Lars Johannesson (Institutionen för signaler och system, Reglerteknik) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
Fifth IFAC Symposium on Advances in Automotive Control (2007)
[Konferensbidrag, refereegranskat]

A novel algorithm for predictive control of parallel hybrid vehicle powertrains is presented. The algorithm uses information from GPS and digital maps to schedule the use of the energy buffer along the planned route. The algorithm is based on dynamic programming and achieves close to the theoretical minimal consumption when simulated on measured drive data. For simulated routes with a topographic profile that contains large hills the fuel consumption savings compared to a competitive non predictive controller are 6%. For simulated routes with a more moderate topographic profile the savings are between 2-3% and for routes with completely flat topographic profile the savings are only between 0.5-2

Nyckelord: Predictive Control, Hybrid Vehicles, Powertrain Control, Dynamic

Denna post skapades 2007-10-20. Senast ändrad 2015-05-08.
CPL Pubid: 55806


Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik



Chalmers infrastruktur

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