Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-147-2022
https://doi.org/10.5194/ms-13-147-2022
Review article
 | 
11 Mar 2022
Review article |  | 11 Mar 2022

Review article: A comprehensive review of energy management strategies for hybrid electric vehicles

Yuzheng Zhu, Xueyuan Li, Qi Liu, Songhao Li, and Yao Xu

Related subject area

Subject: Dynamics and Control | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Asghar, M., Bhatti, A. I., Ahmed, Q., and Murtaza, G.: Energy Management Strategy for Atkinson Cycle Engine Based Parallel Hybrid Electric Vehicle, IEEE Access, 6, 28008–28018, https://doi.org/10.1109/ACCESS.2018.2835395, 2018. 
Ates, Y., Erdinc, O., Uzunoglu, M., and Vural, B.: Energy management of an FC/UC hybrid vehicular power system using a combined neural network-wavelet transform based strategy, Int. J. Hydrogen. Energ., 35, 774–783, https://doi.org/10.1016/j.ijhydene.2009.11.021, 2010. 
Baumann, B., Rizzoni, G., and Washington, G.: Intelligent Control of Hybrid Vehicles Using Neural Networks and Fuzzy Logic, SAE Technical Paper, SAE International, https://doi.org/10.4271/981061, 1998. 
Bertsekas, D. P.: Dynamic programming and optimal control, 1st edn., Athena Scientific, Massachusetts, USA, 2–51, 1995. 
Birge, J. R. and Louveaux, F. V.: Introduction to Stochastic Dynamic Programming, Academic Press, Berkeley, California, 2–45, 1997. 
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Short summary
Energy management strategies (EMSs) play an important role in hybrid electric vehicles. In this review, EMSs based on the intelligent transportation system are considered in parallel to rule-based and optimization-based EMSs. For each EMS, a comprehensive and detailed review, based on energy management methods or algorithms, summarizes the advanced research results of scholars. The principles and the advantages and disadvantages of different EMSs are expressed using figures and tables.