Model Predictive Control Dedicated to an Electrified Auxiliary in HEV/PHEV

Abstract

Auxiliary electrification in Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicle (PHEV) represents a promising solution in energy management of vehicle. The work presented in the following paper focuses on the design of a controller able to reduce the electrical energy consumption of electrified auxiliaries during a driving cycle. A Model Predictive Control (MPC) is proposed and applied to the air supply system of a PHEV. A comparison of energy consumption between this method and two others (Hysteresis Control and Dynamic Programming) is carried out in order to verify the performance of the MPC controller. Numerical simulations show that this technique allows to obtain a significant gain on energy consumption compared to a standard Hysteresis Control. Furthermore, the difference in term of energy consumption between MPC and Dynamic Programming is weak.

Game theoretic approach for electrified auxiliary management in high voltage network of HEV/PHEV

“…Regarding to the model of the electrified air supply system, the structure of this auxiliary are shown in Fig.2 and fully described in [23]. This auxiliary is composed of an electric Fig.…”

“…Up to now, technologies such as GPS or GIS could provide an anticipation on a short horizon, and have difficulties to take into account the intermittent events on the road like traffic lights, accidents and so on. In order to overcome these limitations, we propose to introduce the previous game for EAS into a model predictive control (MPC) framework [23], in which electrified auxiliaries play a finite game within a receding horizon…”

“…For this reason, the proposed approach for electrified auxiliary control in HEV/PHEV, which is based on game theory is relatively new. In addition, we will elaborate the proposed approach in the Model-based Predictive Control (MPC) framework [21], [22], in order to handle several constraints of the system and increase the auxiliary controller performances [23].…”

Trip-Oriented Model Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles

“…MPC is an effective method to deal with process control problems with multi inputs and outputs together with different constraints [35]. It has been widely applied in energy management of PHEVs [36]. In [37], the EMS is proposed based on a bi-level MPC, and it can effectively solve the optimal torque distribution and gear shift and moreover design the velocity trajectory for HEVs.…”