Optimal Energy Management of Automotive Battery Systems Including Thermal Dynamics and Aging

  • Antonio Sciarretta
  • Domenico di Domenico
  • Philippe Pognant-Gros
  • Gianluca Zito
Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 455)

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.

Keywords

Root Mean Square Optimal Control Problem Energy Management Pareto Frontier Capacity Loss 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Antonio Sciarretta
    • 1
  • Domenico di Domenico
    • 1
  • Philippe Pognant-Gros
    • 1
  • Gianluca Zito
    • 1
  1. 1.IFP Energies nouvellesRueil-Malmaison CedexFrance

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