Over the last several decades, there has been a great deal of research effort directed towards modeling and control for hybrid electric vehicles (HEVs). Thanks to these efforts, we can now see a number of HEVs on the roads. The modeling and control technologies applied to HEVs have not only been utilized for plug-in hybrid electric vehicles (PEHVs) or extended-range electric vehicles (EREVs), but hybrid technologies like dual motors or dual energy storage systems are also implemented in battery electric vehicles (BEVs). When it comes to the modeling techniques, new powertrain configurations are developed and optimized based on the model-centric environments, and high-fidelity models using multi-physics like thermal or electrical simulation tools help engineers to precisely evaluate the performance of HEVs. Further, data-driven controls, artificial intelligence, or connectivity concepts are gaining in interest among control engineers, while traditional optimal control concepts like dynamic programming (DP) or Pontryagin’s minimum principle (PMP) are becoming well-known approaches for energy management strategies. This Special Issue welcomes novel research results related to modeling and control technologies for HEVs. Studies utilizing real-world data or obtained by using real-world advanced vehicles are also highly recommended for this Issue.
Keywords: vehicle system modeling; hybrid powertrains; powertrain configuration; hybrid transmissions; thermal management systems; energy management strategies; control optimization; artificial intelligence; connected and automated technology.