Combined Optimization of Energy and Battery Thermal Management control for a Plug-in HEV
This paper presents an optimization algorithm, based on discrete dynamic programming, that aims to find the best control inputs both for energy and thermal management control strategies of a Plug-in Hybrid Electric Vehicle, in order to minimize the energy consumption over a given driving mission. The chosen vehicle has a complex P1-P4 architecture, with two electrical machines on the front axle and an additional one directly coupled with the engine, on the rear axle. In the first section the algorithm structure is presented, including the cost-function definition, the disturbances, the state variables and the control variables chosen for the optimal control problem formulation. The second section reports the simplified quasi-static analytical model of the powertrain, which has been used for the backward optimization. For this purpose, only the vehicle longitudinal dynamics have been considered.