Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends

By Farzad Rajaei Salmasi. IEEE Transactions on Vehicular Technology, 2007

860 citations recorded by the source corpus.

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Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective (2017, background): “These are classified into global (non-causal) optimization and real-time (causal) optimization [31].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “This problem has been extensively studied in the literature: we refer the interested reader to [75, 76, 77] for extensive literature reviews and to [78, 79] for systematic comparisons between existing approaches.”
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles (2011, neutral): “Optimization-based control strategies are routinely divided into two categories as they are applied to HEVs and PHEVs [11].”
A survey on industrial applications of fuzzy control (2011, neutral): “The control of hybrid electric vehicles is treated in [62] and the complexity of all related control strategies is emphasized in [63].”
A comprehensive review of the key technologies for pure electric vehicles (2019, background): “Rule-based (RB) strategies are the most common supervisory control strategies for HEVs and the rules are often based on heuristics, intuition, human expertise and even mathematical models [84].”