MPC-based battery thermal management controller for Plug-in hybrid electric vehicles

This paper proposes a model predictive control (MPC) scheme for the battery thermal management system (BTMS) of a given plug-in hybrid electric vehicle, namely the Toyota Plug-in Prius. As temperature plays a key-role in battery life and performance, BTMS design has become a critical problem in all of the battery-based technologies. Although BTMS control design in its basic form can be well represented by a reference tracking problem, there exists only little research in the literature addressing this important control problem. Due to the importance of a prediction component in thermal systems, the idea in this paper is to design a concrete BTMS controller using the nonlinear model predictive control (NMPC) theory and examine its applicability to fill this gap. The promising simulation results indicate the prosperity of the proposed BTMS control methodology and thus pave the way for use of the model-based thermal management techniques in a wide range of upcoming battery-based devices.

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