Philippe Pognant-Gros

Supervisory Control of Hybrid Powertrains: An Experimental Benchmark of Offline Optimization and Online Energy Management

Abstract The paper describes a chain of tools aimed at the development and validation of energy management strategies (EMS) for hybrid powertrains. These tools comprise an offline optimizer based on Pontryagin minimum principle (PMP) and the online equivalent consumption minimization strategy (ECMS), both implemented in a dynamic simulation platform and as a real-time controller in a semi-physical testing equipment. The results presented are aimed at illustrating the continuity of the various approaches by comparing the offline-generated energy management laws with their online counterparts, both in terms of trajectories over time and in terms of global results (fuel consumption, state-of-charge deviations).

Multivariable torque tracking control for E-IVT hybrid powertrain

This study deals with the control of a hybrid vehicle powertrain, composed of three actuators (one engine, two electric machines). This powertrain belongs to the electric-infinitely variable transmission class. In order to achieve low fuel consumption, drivability and electric power management, controllers must achieve simultaneously three specifications: tracking engine speed, wheel-torque and battery power references. Decoupled controlled-output behaviours and maximal performances are also required. In order to imitate a classical powertrain control structure, the control structure is split into two parts. The interest is to decouple transmission speed ratio control and wheel torque control. A model-based design approach is proposed, that directly deals with robustness and decoupling, in a full multivariable and frequency-dependent framework (H ∞ synthesis). Closed-loop simulations are presented. Stability and performances faced to disturbances and non-linearities are also evaluated, using the theory of linear parameter varying systems.

Robust torque tracking control for E-IVT hybrid powertrain

Abstract This study deals with the control of a hybrid vehicle powertrain, composed of three actuators (one engine, two electric machines). This powertrain belongs to the Electric-Infinitely Variable Transmission (E-IVT) class. In order to achieve low fuel consumption, drivability and electric power management, controllers have to achieve simultaneously three specifications, namely engine speed, wheel-torque and battery power references. Decoupled controlled-output behaviors and optimal performances are also required. In order to imitate a classical powertrain, the control structure is split in two parts. The interest is to decouple transmission speed ratio control and wheel torque control. A model-based design approach is proposed, that directly deals with robustness and decoupling, in a full multivariable and frequency-dependent framework (H∞ synthesis). Closed-loop simulations are presented. Stability and performances subject to disturbances and non-linearities are also evaluated, using the theory of linear parameter varying (LPV) systems.