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This paper focuses on the brief overview of available energy management strategies (EMS) for series hybrid electric vehicles. Alternatively, according to the mechanism that determines the control action, EMSs can be put into groups of rule-based and optimization-based methods. Each control method from each group has been extensively explained and compared in terms of advantages and disadvantages. The main goal of this section is to highlight important research gaps in the field as well as contribute to the increasing list of review debates.

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 05-10-2024
  • Read count 25
  • Date of publication 30-09-2024
  • Main LanguageIngliz
  • Pages122-124
English

This paper focuses on the brief overview of available energy management strategies (EMS) for series hybrid electric vehicles. Alternatively, according to the mechanism that determines the control action, EMSs can be put into groups of rule-based and optimization-based methods. Each control method from each group has been extensively explained and compared in terms of advantages and disadvantages. The main goal of this section is to highlight important research gaps in the field as well as contribute to the increasing list of review debates.

№ Author name position Name of organisation
1 Keldiyarova M.S. tayanch doktorant Toshkent davlat transport universiteti
2 Ruzimov S.K. professor v.b. Toshkent Kimyo xalqaro universiteti
№ Name of reference
1 Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, Third Edition. (2018). CRC Press. https://doi.org/10.1201/9780429504884
2 Jeong, J., Lee, W., Kim, N., Stutenberg, K. et al., "Control Analysis and Model Validation for BMW i3 Range Extender," SAE Technical Paper 2017-01-1152, 2017, doi:10.4271/2017-01-1152
3 M. Keldiyarova, S. Ruzimov, A. Bonfitto and A. Mukhitdinov, "Comparison of two control strategies for range extender hybrid electric vehicles," 2022 International Symposium on Electromobility (ISEM), Puebla, Mexico, 2022, pp. 1-6, doi: 10.1109/ISEM55847.2022.9976663
4 Gao, J-P & Zhu, Guoming & Strangas, Elias & Sun, F-C. (2009). Equivalent fuel consumption optimal control of a series hybrid electric vehicle. Proceedings of The Institution of Mechanical Engineers Part D-journal of Automobile Engineering - PROC INST MECH ENG D-J AUTO. 223. 1003-1018. 10.1243/09544070JAUTO1074.
5 Zhang, F., Wang, L., Coskun, S., Pang, H., Cui, Y., & Xi, J. (2020). Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook. In Energies (Vol. 13, Issue 13, p. 3352). MDPI AG. https://doi.org/10.3390/en13133352
6 https://www.mathworks.com/products/simulink.html
7 https://www.anl.gov/
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