Abstract
Hybrid-electric vehicles (HEV) has been the subject of intensive research as a field of application of optimal control in the past decade. In particular, researchers have proven that energy management (or supervisory control) can be effectively designed using optimal control-based techniques (Guzzella and Sciarretta, Vehicle Propulsion Systems. Introduction to Modeling and Optimization. Springer, Berlin, 2013. Such methods have been applied to charge-sustaining hybrids implementing various architecture, as well as, more recently, to plug-in hybrids (Stockar et al. IEEE Trans Vehr Technol, 60(7):2949–2962, 2011; Sivertsson 2012). Plug-in hybrids (PHEV) are characterized by much higher battery capacities and energies than charge-sustaining hybrids, thus the proper description of battery behavior plays an even more fundamental role in energy management design.
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Sciarretta, A., di Domenico, D., Pognant-Gros, P., Zito, G. (2014). Optimal Energy Management of Automotive Battery Systems Including Thermal Dynamics and Aging. In: Waschl, H., Kolmanovsky, I., Steinbuch, M., del Re, L. (eds) Optimization and Optimal Control in Automotive Systems. Lecture Notes in Control and Information Sciences, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-05371-4_13
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