Improving System Design of a Hybrid Powertrain Using Stochastic Drive Cycles and Dynamic Programming 2007-01-0304
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.
Citation: Åsbogård, M., Johannesson, L., Angervall, D., and Johansson, P., "Improving System Design of a Hybrid Powertrain Using Stochastic Drive Cycles and Dynamic Programming," SAE Technical Paper 2007-01-0304, 2007, https://doi.org/10.4271/2007-01-0304. Download Citation
Mattias Åsbogård, Lars Johannesson, David Angervall, Peter Johansson
Volvo Car Corporation, Sweden, Chalmers University of Technology, Sweden, Royal Institute of Technology, Sweden
SAE World Congress & Exhibition
Advanced Hybrid Vehicle Powertrains, 2007-SP-2101