Design of energy management system based on ECMS controller and effect of equivalent factor on vehicle performance
Abstract
Energy management system has a high impact on HEV fuel economy. In this study, vehicle dynamics has been modeled in MATLAB environment and energy management system of hybrid electric vehicle has been developed based on equivalent consumption minimization strategy. The objective in this strategy is to minimize total fuel consumption of the power source at each instant time. Therefore, the cost function is the total fuel consumption which includes engine fuel consumption rate and equivalent fuel consumption of the battery. This work dedicated analysis on effect of equivalent factor on vehicle fuel consumption. The Simulation results showed that fuel economy of the HEV has is highly influenced by selection of equivalent factor. Model is simulated with different equivalent factors and its optimal value that corresponds to maximum fuel economy has been selected.
References
Pesch H.J., Bulirsch R. The maximum principle, Bellman’s equation and Carathéodory’s work. Journal of Optimization Theory and Applications, 80(2), (1994), p. 199–225. https://doi.org/10.1007/bf02192933
Tarasenko A., Egorova I. The optimal principle of bellman in the problem of optimal means distribution between enterprises for the expansion of production, Vestnik Universiteta, 10, (2019), p. 132–138. https://doi.org/10.26425/1816-4277-2019-10-132-138
Paganelli G., Delprat S., Guerra T.M., Rimaux J., Santin J.J. Equivalent Consumption Minimization Strategy for Parallel Hybrid Powertrains, In Proceedings of the Vehicular Technology Conference, IEEE 55th Vehicular Technology Conference, VTC Spring 2002 (Cat. No.02CH37367), May 2002, Vol. 4, p. 2076–2081, vol.4.
Yakhshilikova G., Ezemobi E., Ruzimov S. and Tonoli A. Battery Sizing for Mild P2 HEVs Considering the Battery Pack Thermal Limitations, Applied Sciences, 12(1), (2021), p. 226. https://doi.org/10.3390/app12010226
Vafaeipour M., Baghdadi M.E., Mierlo J.V., Hegazy O., Verbelen F. and Sergeant P. An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission, 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), (2019). https://doi.org/10.1109/ever.2019.8813647
Zhou F., Xiao F., Chang C., Shao Y. and Song C. Adaptive Model Predictive Control-Based Energy Management for Semi-Active Hybrid Energy Storage Systems on Electric Vehicles. Energies, 10(7), (2017), p. 1063. https://doi.org/10.3390/en10071063
Jinquan G., Hongwen H., Jiankun P. and Nana Z. A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles, Energy, 175, (2019), p. 378–392. https://doi.org/10.1016/j.energy.2019.03.083
Available online: https://www.epa.gov/vehicle-andfuel- emissions-testing/combining-data-completeengine- alpha-maps.
