Improving System Design of a Hybrid Powertrain Using Stochastic Drive Cycles and Dynamic Programming
Paper in proceeding, 2007

A new approach for system design of hybrid powertrains was demonstrated in a case study. The method is based on the following presumptions: The performance of a Hybrid Powertrain Concept (HPC) is evaluated using computer simulation; a HPC cannot be correctly evaluated without an Energy Management Strategy (EMS) for the energy buffer; the optimal EMS is different for each HPC. Dynamic programming was used to generate EMSs that were optimal for the vehicles intended traffic environment and for each given HPC, enabling evaluation of a large number of HPCs. Over-adaptation of the EMSs was avoided by using a stochastic drive cycle model. The final delivery is a competitive powertrain component sizing and the corresponding optimal EMS.

Hybrid Electric Vehicles

Hybrid powertrains


Mattias Åsbogård

Chalmers, Applied Mechanics

Lars Johannesson

Chalmers, Signals and Systems, Systems and control

David Angervall

Chalmers, Signals and Systems

Peter Johansson

SAE World Congress & Exhibition, April 2007, Detroit, MI, USA


Subject Categories

Control Engineering



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