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This paper describes the optimization of a truck engine cooling system. Different models work together to make an estimation of fuel consumption and thermal behavior of the engine on a real-drive cycle. Dynamic programming is then used to provide an optimized solution to the engine thermal management in terms of actuators power and fuel consumption. Engine temperature effect on the fuel consumption is taken into account by modeling the mechanical losses due to oil viscosity.