Optimal Control Strategy for the Next Generation Range Extended Electric Bus

Yuanjian Zhang, Martin Murtagh, Juliana Early, G Cunningham, David Steele, Robert Best

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract


Electrically driven buses have become one of the main vehicle platforms for demonstrating the advantages and capabilities of electric vehicles. This type of vehicle can be powered from several different sources that each have several unique operating characteristics and performance requirements that necessitate novel solutions. In this paper, a novel optimal control strategy based on the next generation range-extended electric bus has been developed. Control strategies play an essential role in extracting the full potential of electric buses and increase their effectiveness at displacing conventional internal-combustion powered buses and thus, reducing global fuel consumption and emissions. Initially, a control-oriented powertrain model was developed in Matlab/Simulink. The series-hybrid powertrain model configuration was then used as the basis to study various control strategies. A new control strategy was devised based on an equivalent consumption minimization strategy (ECMS) to govern the powertrain when operating in different modes. Due to the high impact the drive cycle has on the equivalent factor (EF) in an ECMS, an offline optimization process is performed to further increase the effect of the ECMS on various driving routes. Particle swarm optimization (PSO) was applied to the offline control model, generating the most appropriate EF values for different driving routes. The optimization of the EF values, the implementation of the new control strategy and the control execution process are described here in detail. Finally, the proposed control strategy is validated in the simulation environment by analysing its performance with those of a simple rule-based strategy and a dynamic programming based global optimisation strategy. Comparison of results suggests the superior performance of the proposed method in fuel economy optimization versus the rule-based control method and the similarities to the dynamic programming based control method.
Original languageEnglish
Title of host publication2020-04-14 Optimal Control Strategy for a Next Generation Range Extended Electric Bus 2020-01-0844
PublisherSAE International
Publication statusPublished - 14 Apr 2020
EventWCX SAE World Congress Experience - TCF Center, Detroit, United States
Duration: 21 Apr 202023 Apr 2020
https://www.sae.org/attend/wcx

Publication series

NameTechnical Papers
PublisherSAE International
ISSN (Print)0148-7191

Conference

ConferenceWCX SAE World Congress Experience
Abbreviated title2020 WCS
CountryUnited States
CityDetroit
Period21/04/202023/04/2020
Internet address

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    Zhang, Y., Murtagh, M., Early, J., Cunningham, G., Steele, D., & Best, R. (2020). Optimal Control Strategy for the Next Generation Range Extended Electric Bus. In 2020-04-14 Optimal Control Strategy for a Next Generation Range Extended Electric Bus 2020-01-0844 (Technical Papers ). SAE International. https://www.sae.org/publications/technical-papers/content/2020-01-0844/